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Why the Future of Learning Starts with Building

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Coding has always served two purposes: the intrinsic drive to build something, and the practical path to a lucrative career. Even the most passionate code aficionados don’t dream of variables or syntax — they want to make a website, a tool, a game. For years, the career upside was impossible to ignore. You could land a stable SWE job, bootstrap your own app, or join a buzzy startup as a first hire.  

Generative AI flipped the script. AI now handles the repetitive tasks that used to define entry-level developer roles. At the same time, the barrier to entry for coding and building is lower than ever — you can spin up a working prototype with just an idea and a natural language prompt.  

This shift hasn’t eliminated the desire to code, but it’s changed what and who coding is for. If you’re not learning to land a junior dev role, you’re learning to build the thing you’ve been imagining, to add a technical skill to your existing career, or to understand the tools you’re already using at work. And here’s the catch: those goals all require understanding your code, not just having code that works. 

At Codecademy, all of these changes excite us about the future of learning to code. We’re introducing the AI Builder, a new project-based learning tool that flips the script by teaching you how to work with AI-generated code from the start. Our approach brings together the immediacy of modern AI tools and the rigor of real instructional design.

Why we created the AI Builder 

AI’s speed and efficiency often come with a tradeoff; you can get working code immediately, but you don’t really know what it’s giving you or why it’s built a certain way. Developers use the term “vibe coding” to describe this phenomenon — it’s fast, fun, but shallow; great for demos, less great for long-term skill-building.  

If your goal is to understand what you’re building, generic AI output alone won’t get you there. And the more you push these tools into real-world complexity, “the harder it is for them to give you exactly what you want,” says Zoe Bachman, Head of Learning at Codecademy.  

Switch to Learn for behind-the-scenes insights and your personalized roadmap.

With the AI Builder you get an education along with the AI output. In the workspace, you can toggle between two tabs: Build, where you work directly with a project and can modify and change code in real time; and Learn, where you get a personalized learning roadmap that’s based on your project.  

“We pair the experience of having a working app with a learning path that allows you to reverse engineer how it’s built, so you can deeply understand it and modify it confidently,” Zoe says. We’re calling our hybrid approach to learning-driven development “vibe learning” — it’s powered by AI guidance but rooted in learning science.  

Build first; learn continuously 

With AI Builder, you start with what you want to do: build the thing in your head. Whether that’s a habit tracker, a portfolio site, or the seed of a bigger idea, you don’t need to have prior coding knowledge to learn and build with the AI Builder. In other words, there are no pre-requisites for creation.  

You create a prototype by typing what you’d like to create in natural language. The AI chatbot will ask a few clarifying questions about your needs and overall goal before generating the project. Once the project is created, you can use the chat function to continue describing what you want. (You’re also welcome to go right into the code and start making changes if you already know your way around!)  

“It was fun to build something so quickly and be able to see the code and a learning plan for it,” says Grace Krishna, a Code Crew member who beta tested the AI Builder.   

When you need clarity on what’s going on behind the scenes in your code, or you hit a wall with AI, that’s a great time to flip over to the Learn tab.  

We’re calling our hybrid approach to learning-driven development ‘vibe learning’ — it’s powered by AI guidance but rooted in learning science.

Your project becomes the curriculum 

Rather than teaching concepts in the abstract and hoping learners translate them later, AI Builder removes that translation tax entirely. “We’re showing you specifically your code from your project and helping you understand it,” Zoe says.  

Rework your prototype in real time with the help of AI.

To build that personalized curriculum, the AI Builder breaks your project’s code into clear milestones and tasks. For each task, it generates an interactive learning loop, which is an activity designed to help you form a mental model of what your specific code is doing.  

These loops help you understand the logic behind each part of your project, so you can confidently apply the same thinking to other sections, or even future projects. This approach also ensures everything you learn is directly relevant to what you’re making — so you don’t have to guess when you’ll ever use this. 

Why this is vibe learning (not vibe coding) 

A key misconception about AI‑assisted development is that it makes learning superficial. AI Builder challenges that by grounding the entire experience in learning science rather than simple code generation. Our entire system is intentionally designed for you to retain knowledge. So, while it might not feel like you’re taking a course, you’re absorbing key concepts just by interacting with AI-generated code.  

A Socratic AI, not an answer-spitting chatbot 

Our educational AI chatbot is designed to guide you toward an answer through an in-depth questioning approach that’s based on the Socratic method of teaching. Instead of spitting out shortcuts or answers like AI typically does, you get strategic nudges, hints, and questions that build durable mental models.  

Research on AI in education shows that just providing an answer makes it harder for learners to retain the information on their own. Zoe compares the Socratic AI to “a personalized tutor, facilitating you acquiring more knowledge, so you’re not totally left on your own.” Our method encourages you to think critically so you really grasp the concepts and can continue to use them in the real world.  

Learning loops with real instructional design 

Behind the scenes, every learning loop in the Learn tab is built on proven frameworks like inductive learning and the 5E model, a popular STEM teaching framework that’s shorthand for engage, explore, explain, elaborate, and evaluate.

You’ll notice that the questions and exercises in the Learn tab feel different than the rest of our courses and paths, and that’s intentional. “The learning loops are designed very well — they get you there inductively,” Zoe says. They’re exploratory without being overwhelming, and evaluative without feeling like tests.  

Negar Vahid, a beta tester for the AI Builder appreciated the AI’s interactive question format. “The question-based learning feels engaging, and the starter project it builds is simple but useful,” she says.  

This structure ensures you don’t develop the wrong mental models — a known risk in fully constructivist or student-centered environments — while still giving you the freedom to explore.

Why learn when AI can build? 

There are some projects that are well-suited for simply vibe coding, like making a personal HTML website or a single-use script to automate a one-time task. Tools like Lovable and v0 are suited exactly for these types of projects.  

The longer your code needs to live, and the more complex your project becomes, the more you need to actually understand what you’re building. Joe Holmes, Codecademy Curriculum Developer in the AI and machine learning domain, uses the term “ignorance debt” to describe what happens when you don’t: 

“It’s like tech debt squared. It’s much, much worse,” Joe says. “You don’t know what kind of code is coming out. You just are only looking at: Does this kind of generally appear to be what I asked for? You don’t know if there are security flaws. You don’t know if there are performance flaws. You don’t know if you’re leaking sensitive information. You don’t know how to fix anything.” 

The tipping point comes down to two factors: complexity and time. If you’re developing software professionally, you’re legally responsible for the code you output. If you’re building something that will serve actual users, you need to be accountable for security, performance, and maintainability. And if your project will need updates or fixes over time (which most do) understanding your codebase becomes essential, not optional. 

The good news? Learning doesn’t have to feel like eating your vegetables. “Kids hate veggies and broccoli because we don’t cook it well enough to make it tasty when we first introduce it to them,” says Nhi Pham, Codecademy Curriculum Developer. The same is true for teaching AI: “If you do it well, you’re inspiring people to have these very hygienic practices when working with AI,” she says.  

That’s exactly what AI Builder is designed to do — make learning feel as immediate and rewarding as building, so you develop good habits from the start rather than building a lifelong aversion to understanding your own code. 

Get started with the AI Builder 

AI isn’t a replacement for learning, it’s a tool — and a powerful one when it comes to education. Our new AI Builder allows for “just‑in‑time learning that’s highly personalized,” Zoe says. Even the best teachers or bootcamps can’t deliver that for every learner, on every project, instantly. Perhaps the most exciting vision is how AI changes what a learning environment can be. 

Zoe described it beautifully: “I imagine the AI Builder as a workspace… like having all your resources around you and an AI tutor in the background.” 

That’s the shift: from learning before you build to learning while you build. We can’t wait to see what you create. 

Why the Future of Learning Starts with Building

0

Coding has always served two purposes: the intrinsic drive to build something, and the practical path to a lucrative career. Even the most passionate code aficionados don’t dream of variables or syntax — they want to make a website, a tool, a game. For years, the career upside was impossible to ignore. You could land a stable SWE job, bootstrap your own app, or join a buzzy startup as a first hire.  

Generative AI flipped the script. AI now handles the repetitive tasks that used to define entry-level developer roles. At the same time, the barrier to entry for coding and building is lower than ever — you can spin up a working prototype with just an idea and a natural language prompt.  

This shift hasn’t eliminated the desire to code, but it’s changed what and who coding is for. If you’re not learning to land a junior dev role, you’re learning to build the thing you’ve been imagining, to add a technical skill to your existing career, or to understand the tools you’re already using at work. And here’s the catch: those goals all require understanding your code, not just having code that works. 

At Codecademy, all of these changes excite us about the future of learning to code. We’re introducing the AI Builder, a new project-based learning tool that flips the script by teaching you how to work with AI-generated code from the start. Our approach brings together the immediacy of modern AI tools and the rigor of real instructional design.

Why we created the AI Builder 

AI’s speed and efficiency often come with a tradeoff; you can get working code immediately, but you don’t really know what it’s giving you or why it’s built a certain way. Developers use the term “vibe coding” to describe this phenomenon — it’s fast, fun, but shallow; great for demos, less great for long-term skill-building.  

If your goal is to understand what you’re building, generic AI output alone won’t get you there. And the more you push these tools into real-world complexity, “the harder it is for them to give you exactly what you want,” says Zoe Bachman, Head of Learning at Codecademy.  

Switch to Learn for behind-the-scenes insights and your personalized roadmap.

With the AI Builder you get an education along with the AI output. In the workspace, you can toggle between two tabs: Build, where you work directly with a project and can modify and change code in real time; and Learn, where you get a personalized learning roadmap that’s based on your project.  

“We pair the experience of having a working app with a learning path that allows you to reverse engineer how it’s built, so you can deeply understand it and modify it confidently,” Zoe says. We’re calling our hybrid approach to learning-driven development “vibe learning” — it’s powered by AI guidance but rooted in learning science.  

Build first; learn continuously 

With AI Builder, you start with what you want to do: build the thing in your head. Whether that’s a habit tracker, a portfolio site, or the seed of a bigger idea, you don’t need to have prior coding knowledge to learn and build with the AI Builder. In other words, there are no pre-requisites for creation.  

You create a prototype by typing what you’d like to create in natural language. The AI chatbot will ask a few clarifying questions about your needs and overall goal before generating the project. Once the project is created, you can use the chat function to continue describing what you want. (You’re also welcome to go right into the code and start making changes if you already know your way around!)  

“It was fun to build something so quickly and be able to see the code and a learning plan for it,” says Grace Krishna, a Code Crew member who beta tested the AI Builder.   

When you need clarity on what’s going on behind the scenes in your code, or you hit a wall with AI, that’s a great time to flip over to the Learn tab.  

We’re calling our hybrid approach to learning-driven development ‘vibe learning’ — it’s powered by AI guidance but rooted in learning science.

Your project becomes the curriculum 

Rather than teaching concepts in the abstract and hoping learners translate them later, AI Builder removes that translation tax entirely. “We’re showing you specifically your code from your project and helping you understand it,” Zoe says.  

Rework your prototype in real time with the help of AI.

To build that personalized curriculum, the AI Builder breaks your project’s code into clear milestones and tasks. For each task, it generates an interactive learning loop, which is an activity designed to help you form a mental model of what your specific code is doing.  

These loops help you understand the logic behind each part of your project, so you can confidently apply the same thinking to other sections, or even future projects. This approach also ensures everything you learn is directly relevant to what you’re making — so you don’t have to guess when you’ll ever use this. 

Why this is vibe learning (not vibe coding) 

A key misconception about AI‑assisted development is that it makes learning superficial. AI Builder challenges that by grounding the entire experience in learning science rather than simple code generation. Our entire system is intentionally designed for you to retain knowledge. So, while it might not feel like you’re taking a course, you’re absorbing key concepts just by interacting with AI-generated code.  

A Socratic AI, not an answer-spitting chatbot 

Our educational AI chatbot is designed to guide you toward an answer through an in-depth questioning approach that’s based on the Socratic method of teaching. Instead of spitting out shortcuts or answers like AI typically does, you get strategic nudges, hints, and questions that build durable mental models.  

Research on AI in education shows that just providing an answer makes it harder for learners to retain the information on their own. Zoe compares the Socratic AI to “a personalized tutor, facilitating you acquiring more knowledge, so you’re not totally left on your own.” Our method encourages you to think critically so you really grasp the concepts and can continue to use them in the real world.  

Learning loops with real instructional design 

Behind the scenes, every learning loop in the Learn tab is built on proven frameworks like inductive learning and the 5E model, a popular STEM teaching framework that’s shorthand for engage, explore, explain, elaborate, and evaluate.

You’ll notice that the questions and exercises in the Learn tab feel different than the rest of our courses and paths, and that’s intentional. “The learning loops are designed very well — they get you there inductively,” Zoe says. They’re exploratory without being overwhelming, and evaluative without feeling like tests.  

Negar Vahid, a beta tester for the AI Builder appreciated the AI’s interactive question format. “The question-based learning feels engaging, and the starter project it builds is simple but useful,” she says.  

This structure ensures you don’t develop the wrong mental models — a known risk in fully constructivist or student-centered environments — while still giving you the freedom to explore.

Why learn when AI can build? 

There are some projects that are well-suited for simply vibe coding, like making a personal HTML website or a single-use script to automate a one-time task. Tools like Lovable and v0 are suited exactly for these types of projects.  

The longer your code needs to live, and the more complex your project becomes, the more you need to actually understand what you’re building. Joe Holmes, Codecademy Curriculum Developer in the AI and machine learning domain, uses the term “ignorance debt” to describe what happens when you don’t: 

“It’s like tech debt squared. It’s much, much worse,” Joe says. “You don’t know what kind of code is coming out. You just are only looking at: Does this kind of generally appear to be what I asked for? You don’t know if there are security flaws. You don’t know if there are performance flaws. You don’t know if you’re leaking sensitive information. You don’t know how to fix anything.” 

The tipping point comes down to two factors: complexity and time. If you’re developing software professionally, you’re legally responsible for the code you output. If you’re building something that will serve actual users, you need to be accountable for security, performance, and maintainability. And if your project will need updates or fixes over time (which most do) understanding your codebase becomes essential, not optional. 

The good news? Learning doesn’t have to feel like eating your vegetables. “Kids hate veggies and broccoli because we don’t cook it well enough to make it tasty when we first introduce it to them,” says Nhi Pham, Codecademy Curriculum Developer. The same is true for teaching AI: “If you do it well, you’re inspiring people to have these very hygienic practices when working with AI,” she says.  

That’s exactly what AI Builder is designed to do — make learning feel as immediate and rewarding as building, so you develop good habits from the start rather than building a lifelong aversion to understanding your own code. 

Get started with the AI Builder 

AI isn’t a replacement for learning, it’s a tool — and a powerful one when it comes to education. Our new AI Builder allows for “just‑in‑time learning that’s highly personalized,” Zoe says. Even the best teachers or bootcamps can’t deliver that for every learner, on every project, instantly. Perhaps the most exciting vision is how AI changes what a learning environment can be. 

Zoe described it beautifully: “I imagine the AI Builder as a workspace… like having all your resources around you and an AI tutor in the background.” 

That’s the shift: from learning before you build to learning while you build. We can’t wait to see what you create. 

Why the Future of Learning Starts with Building

0

Coding has always served two purposes: the intrinsic drive to build something, and the practical path to a lucrative career. Even the most passionate code aficionados don’t dream of variables or syntax — they want to make a website, a tool, a game. For years, the career upside was impossible to ignore. You could land a stable SWE job, bootstrap your own app, or join a buzzy startup as a first hire.  

Generative AI flipped the script. AI now handles the repetitive tasks that used to define entry-level developer roles. At the same time, the barrier to entry for coding and building is lower than ever — you can spin up a working prototype with just an idea and a natural language prompt.  

This shift hasn’t eliminated the desire to code, but it’s changed what and who coding is for. If you’re not learning to land a junior dev role, you’re learning to build the thing you’ve been imagining, to add a technical skill to your existing career, or to understand the tools you’re already using at work. And here’s the catch: those goals all require understanding your code, not just having code that works. 

At Codecademy, all of these changes excite us about the future of learning to code. We’re introducing the AI Builder, a new project-based learning tool that flips the script by teaching you how to work with AI-generated code from the start. Our approach brings together the immediacy of modern AI tools and the rigor of real instructional design.

Why we created the AI Builder 

AI’s speed and efficiency often come with a tradeoff; you can get working code immediately, but you don’t really know what it’s giving you or why it’s built a certain way. Developers use the term “vibe coding” to describe this phenomenon — it’s fast, fun, but shallow; great for demos, less great for long-term skill-building.  

If your goal is to understand what you’re building, generic AI output alone won’t get you there. And the more you push these tools into real-world complexity, “the harder it is for them to give you exactly what you want,” says Zoe Bachman, Head of Learning at Codecademy.  

Switch to Learn for behind-the-scenes insights and your personalized roadmap.

With the AI Builder you get an education along with the AI output. In the workspace, you can toggle between two tabs: Build, where you work directly with a project and can modify and change code in real time; and Learn, where you get a personalized learning roadmap that’s based on your project.  

“We pair the experience of having a working app with a learning path that allows you to reverse engineer how it’s built, so you can deeply understand it and modify it confidently,” Zoe says. We’re calling our hybrid approach to learning-driven development “vibe learning” — it’s powered by AI guidance but rooted in learning science.  

Build first; learn continuously 

With AI Builder, you start with what you want to do: build the thing in your head. Whether that’s a habit tracker, a portfolio site, or the seed of a bigger idea, you don’t need to have prior coding knowledge to learn and build with the AI Builder. In other words, there are no pre-requisites for creation.  

You create a prototype by typing what you’d like to create in natural language. The AI chatbot will ask a few clarifying questions about your needs and overall goal before generating the project. Once the project is created, you can use the chat function to continue describing what you want. (You’re also welcome to go right into the code and start making changes if you already know your way around!)  

“It was fun to build something so quickly and be able to see the code and a learning plan for it,” says Grace Krishna, a Code Crew member who beta tested the AI Builder.   

When you need clarity on what’s going on behind the scenes in your code, or you hit a wall with AI, that’s a great time to flip over to the Learn tab.  

We’re calling our hybrid approach to learning-driven development ‘vibe learning’ — it’s powered by AI guidance but rooted in learning science.

Your project becomes the curriculum 

Rather than teaching concepts in the abstract and hoping learners translate them later, AI Builder removes that translation tax entirely. “We’re showing you specifically your code from your project and helping you understand it,” Zoe says.  

Rework your prototype in real time with the help of AI.

To build that personalized curriculum, the AI Builder breaks your project’s code into clear milestones and tasks. For each task, it generates an interactive learning loop, which is an activity designed to help you form a mental model of what your specific code is doing.  

These loops help you understand the logic behind each part of your project, so you can confidently apply the same thinking to other sections, or even future projects. This approach also ensures everything you learn is directly relevant to what you’re making — so you don’t have to guess when you’ll ever use this. 

Why this is vibe learning (not vibe coding) 

A key misconception about AI‑assisted development is that it makes learning superficial. AI Builder challenges that by grounding the entire experience in learning science rather than simple code generation. Our entire system is intentionally designed for you to retain knowledge. So, while it might not feel like you’re taking a course, you’re absorbing key concepts just by interacting with AI-generated code.  

A Socratic AI, not an answer-spitting chatbot 

Our educational AI chatbot is designed to guide you toward an answer through an in-depth questioning approach that’s based on the Socratic method of teaching. Instead of spitting out shortcuts or answers like AI typically does, you get strategic nudges, hints, and questions that build durable mental models.  

Research on AI in education shows that just providing an answer makes it harder for learners to retain the information on their own. Zoe compares the Socratic AI to “a personalized tutor, facilitating you acquiring more knowledge, so you’re not totally left on your own.” Our method encourages you to think critically so you really grasp the concepts and can continue to use them in the real world.  

Learning loops with real instructional design 

Behind the scenes, every learning loop in the Learn tab is built on proven frameworks like inductive learning and the 5E model, a popular STEM teaching framework that’s shorthand for engage, explore, explain, elaborate, and evaluate.

You’ll notice that the questions and exercises in the Learn tab feel different than the rest of our courses and paths, and that’s intentional. “The learning loops are designed very well — they get you there inductively,” Zoe says. They’re exploratory without being overwhelming, and evaluative without feeling like tests.  

Negar Vahid, a beta tester for the AI Builder appreciated the AI’s interactive question format. “The question-based learning feels engaging, and the starter project it builds is simple but useful,” she says.  

This structure ensures you don’t develop the wrong mental models — a known risk in fully constructivist or student-centered environments — while still giving you the freedom to explore.

Why learn when AI can build? 

There are some projects that are well-suited for simply vibe coding, like making a personal HTML website or a single-use script to automate a one-time task. Tools like Lovable and v0 are suited exactly for these types of projects.  

The longer your code needs to live, and the more complex your project becomes, the more you need to actually understand what you’re building. Joe Holmes, Codecademy Curriculum Developer in the AI and machine learning domain, uses the term “ignorance debt” to describe what happens when you don’t: 

“It’s like tech debt squared. It’s much, much worse,” Joe says. “You don’t know what kind of code is coming out. You just are only looking at: Does this kind of generally appear to be what I asked for? You don’t know if there are security flaws. You don’t know if there are performance flaws. You don’t know if you’re leaking sensitive information. You don’t know how to fix anything.” 

The tipping point comes down to two factors: complexity and time. If you’re developing software professionally, you’re legally responsible for the code you output. If you’re building something that will serve actual users, you need to be accountable for security, performance, and maintainability. And if your project will need updates or fixes over time (which most do) understanding your codebase becomes essential, not optional. 

The good news? Learning doesn’t have to feel like eating your vegetables. “Kids hate veggies and broccoli because we don’t cook it well enough to make it tasty when we first introduce it to them,” says Nhi Pham, Codecademy Curriculum Developer. The same is true for teaching AI: “If you do it well, you’re inspiring people to have these very hygienic practices when working with AI,” she says.  

That’s exactly what AI Builder is designed to do — make learning feel as immediate and rewarding as building, so you develop good habits from the start rather than building a lifelong aversion to understanding your own code. 

Get started with the AI Builder 

AI isn’t a replacement for learning, it’s a tool — and a powerful one when it comes to education. Our new AI Builder allows for “just‑in‑time learning that’s highly personalized,” Zoe says. Even the best teachers or bootcamps can’t deliver that for every learner, on every project, instantly. Perhaps the most exciting vision is how AI changes what a learning environment can be. 

Zoe described it beautifully: “I imagine the AI Builder as a workspace… like having all your resources around you and an AI tutor in the background.” 

That’s the shift: from learning before you build to learning while you build. We can’t wait to see what you create. 

Why the Future of Learning Starts with Building

0

Coding has always served two purposes: the intrinsic drive to build something, and the practical path to a lucrative career. Even the most passionate code aficionados don’t dream of variables or syntax — they want to make a website, a tool, a game. For years, the career upside was impossible to ignore. You could land a stable SWE job, bootstrap your own app, or join a buzzy startup as a first hire.  

Generative AI flipped the script. AI now handles the repetitive tasks that used to define entry-level developer roles. At the same time, the barrier to entry for coding and building is lower than ever — you can spin up a working prototype with just an idea and a natural language prompt.  

This shift hasn’t eliminated the desire to code, but it’s changed what and who coding is for. If you’re not learning to land a junior dev role, you’re learning to build the thing you’ve been imagining, to add a technical skill to your existing career, or to understand the tools you’re already using at work. And here’s the catch: those goals all require understanding your code, not just having code that works. 

At Codecademy, all of these changes excite us about the future of learning to code. We’re introducing the AI Builder, a new project-based learning tool that flips the script by teaching you how to work with AI-generated code from the start. Our approach brings together the immediacy of modern AI tools and the rigor of real instructional design.

Why we created the AI Builder 

AI’s speed and efficiency often come with a tradeoff; you can get working code immediately, but you don’t really know what it’s giving you or why it’s built a certain way. Developers use the term “vibe coding” to describe this phenomenon — it’s fast, fun, but shallow; great for demos, less great for long-term skill-building.  

If your goal is to understand what you’re building, generic AI output alone won’t get you there. And the more you push these tools into real-world complexity, “the harder it is for them to give you exactly what you want,” says Zoe Bachman, Head of Learning at Codecademy.  

Switch to Learn for behind-the-scenes insights and your personalized roadmap.

With the AI Builder you get an education along with the AI output. In the workspace, you can toggle between two tabs: Build, where you work directly with a project and can modify and change code in real time; and Learn, where you get a personalized learning roadmap that’s based on your project.  

“We pair the experience of having a working app with a learning path that allows you to reverse engineer how it’s built, so you can deeply understand it and modify it confidently,” Zoe says. We’re calling our hybrid approach to learning-driven development “vibe learning” — it’s powered by AI guidance but rooted in learning science.  

Build first; learn continuously 

With AI Builder, you start with what you want to do: build the thing in your head. Whether that’s a habit tracker, a portfolio site, or the seed of a bigger idea, you don’t need to have prior coding knowledge to learn and build with the AI Builder. In other words, there are no pre-requisites for creation.  

You create a prototype by typing what you’d like to create in natural language. The AI chatbot will ask a few clarifying questions about your needs and overall goal before generating the project. Once the project is created, you can use the chat function to continue describing what you want. (You’re also welcome to go right into the code and start making changes if you already know your way around!)  

“It was fun to build something so quickly and be able to see the code and a learning plan for it,” says Grace Krishna, a Code Crew member who beta tested the AI Builder.   

When you need clarity on what’s going on behind the scenes in your code, or you hit a wall with AI, that’s a great time to flip over to the Learn tab.  

We’re calling our hybrid approach to learning-driven development ‘vibe learning’ — it’s powered by AI guidance but rooted in learning science.

Your project becomes the curriculum 

Rather than teaching concepts in the abstract and hoping learners translate them later, AI Builder removes that translation tax entirely. “We’re showing you specifically your code from your project and helping you understand it,” Zoe says.  

Rework your prototype in real time with the help of AI.

To build that personalized curriculum, the AI Builder breaks your project’s code into clear milestones and tasks. For each task, it generates an interactive learning loop, which is an activity designed to help you form a mental model of what your specific code is doing.  

These loops help you understand the logic behind each part of your project, so you can confidently apply the same thinking to other sections, or even future projects. This approach also ensures everything you learn is directly relevant to what you’re making — so you don’t have to guess when you’ll ever use this. 

Why this is vibe learning (not vibe coding) 

A key misconception about AI‑assisted development is that it makes learning superficial. AI Builder challenges that by grounding the entire experience in learning science rather than simple code generation. Our entire system is intentionally designed for you to retain knowledge. So, while it might not feel like you’re taking a course, you’re absorbing key concepts just by interacting with AI-generated code.  

A Socratic AI, not an answer-spitting chatbot 

Our educational AI chatbot is designed to guide you toward an answer through an in-depth questioning approach that’s based on the Socratic method of teaching. Instead of spitting out shortcuts or answers like AI typically does, you get strategic nudges, hints, and questions that build durable mental models.  

Research on AI in education shows that just providing an answer makes it harder for learners to retain the information on their own. Zoe compares the Socratic AI to “a personalized tutor, facilitating you acquiring more knowledge, so you’re not totally left on your own.” Our method encourages you to think critically so you really grasp the concepts and can continue to use them in the real world.  

Learning loops with real instructional design 

Behind the scenes, every learning loop in the Learn tab is built on proven frameworks like inductive learning and the 5E model, a popular STEM teaching framework that’s shorthand for engage, explore, explain, elaborate, and evaluate.

You’ll notice that the questions and exercises in the Learn tab feel different than the rest of our courses and paths, and that’s intentional. “The learning loops are designed very well — they get you there inductively,” Zoe says. They’re exploratory without being overwhelming, and evaluative without feeling like tests.  

Negar Vahid, a beta tester for the AI Builder appreciated the AI’s interactive question format. “The question-based learning feels engaging, and the starter project it builds is simple but useful,” she says.  

This structure ensures you don’t develop the wrong mental models — a known risk in fully constructivist or student-centered environments — while still giving you the freedom to explore.

Why learn when AI can build? 

There are some projects that are well-suited for simply vibe coding, like making a personal HTML website or a single-use script to automate a one-time task. Tools like Lovable and v0 are suited exactly for these types of projects.  

The longer your code needs to live, and the more complex your project becomes, the more you need to actually understand what you’re building. Joe Holmes, Codecademy Curriculum Developer in the AI and machine learning domain, uses the term “ignorance debt” to describe what happens when you don’t: 

“It’s like tech debt squared. It’s much, much worse,” Joe says. “You don’t know what kind of code is coming out. You just are only looking at: Does this kind of generally appear to be what I asked for? You don’t know if there are security flaws. You don’t know if there are performance flaws. You don’t know if you’re leaking sensitive information. You don’t know how to fix anything.” 

The tipping point comes down to two factors: complexity and time. If you’re developing software professionally, you’re legally responsible for the code you output. If you’re building something that will serve actual users, you need to be accountable for security, performance, and maintainability. And if your project will need updates or fixes over time (which most do) understanding your codebase becomes essential, not optional. 

The good news? Learning doesn’t have to feel like eating your vegetables. “Kids hate veggies and broccoli because we don’t cook it well enough to make it tasty when we first introduce it to them,” says Nhi Pham, Codecademy Curriculum Developer. The same is true for teaching AI: “If you do it well, you’re inspiring people to have these very hygienic practices when working with AI,” she says.  

That’s exactly what AI Builder is designed to do — make learning feel as immediate and rewarding as building, so you develop good habits from the start rather than building a lifelong aversion to understanding your own code. 

Get started with the AI Builder 

AI isn’t a replacement for learning, it’s a tool — and a powerful one when it comes to education. Our new AI Builder allows for “just‑in‑time learning that’s highly personalized,” Zoe says. Even the best teachers or bootcamps can’t deliver that for every learner, on every project, instantly. Perhaps the most exciting vision is how AI changes what a learning environment can be. 

Zoe described it beautifully: “I imagine the AI Builder as a workspace… like having all your resources around you and an AI tutor in the background.” 

That’s the shift: from learning before you build to learning while you build. We can’t wait to see what you create. 

Why the Future of Learning Starts with Building

0

Coding has always served two purposes: the intrinsic drive to build something, and the practical path to a lucrative career. Even the most passionate code aficionados don’t dream of variables or syntax — they want to make a website, a tool, a game. For years, the career upside was impossible to ignore. You could land a stable SWE job, bootstrap your own app, or join a buzzy startup as a first hire.  

Generative AI flipped the script. AI now handles the repetitive tasks that used to define entry-level developer roles. At the same time, the barrier to entry for coding and building is lower than ever — you can spin up a working prototype with just an idea and a natural language prompt.  

This shift hasn’t eliminated the desire to code, but it’s changed what and who coding is for. If you’re not learning to land a junior dev role, you’re learning to build the thing you’ve been imagining, to add a technical skill to your existing career, or to understand the tools you’re already using at work. And here’s the catch: those goals all require understanding your code, not just having code that works. 

At Codecademy, all of these changes excite us about the future of learning to code. We’re introducing the AI Builder, a new project-based learning tool that flips the script by teaching you how to work with AI-generated code from the start. Our approach brings together the immediacy of modern AI tools and the rigor of real instructional design.

Why we created the AI Builder 

AI’s speed and efficiency often come with a tradeoff; you can get working code immediately, but you don’t really know what it’s giving you or why it’s built a certain way. Developers use the term “vibe coding” to describe this phenomenon — it’s fast, fun, but shallow; great for demos, less great for long-term skill-building.  

If your goal is to understand what you’re building, generic AI output alone won’t get you there. And the more you push these tools into real-world complexity, “the harder it is for them to give you exactly what you want,” says Zoe Bachman, Head of Learning at Codecademy.  

Switch to Learn for behind-the-scenes insights and your personalized roadmap.

With the AI Builder you get an education along with the AI output. In the workspace, you can toggle between two tabs: Build, where you work directly with a project and can modify and change code in real time; and Learn, where you get a personalized learning roadmap that’s based on your project.  

“We pair the experience of having a working app with a learning path that allows you to reverse engineer how it’s built, so you can deeply understand it and modify it confidently,” Zoe says. We’re calling our hybrid approach to learning-driven development “vibe learning” — it’s powered by AI guidance but rooted in learning science.  

Build first; learn continuously 

With AI Builder, you start with what you want to do: build the thing in your head. Whether that’s a habit tracker, a portfolio site, or the seed of a bigger idea, you don’t need to have prior coding knowledge to learn and build with the AI Builder. In other words, there are no pre-requisites for creation.  

You create a prototype by typing what you’d like to create in natural language. The AI chatbot will ask a few clarifying questions about your needs and overall goal before generating the project. Once the project is created, you can use the chat function to continue describing what you want. (You’re also welcome to go right into the code and start making changes if you already know your way around!)  

“It was fun to build something so quickly and be able to see the code and a learning plan for it,” says Grace Krishna, a Code Crew member who beta tested the AI Builder.   

When you need clarity on what’s going on behind the scenes in your code, or you hit a wall with AI, that’s a great time to flip over to the Learn tab.  

We’re calling our hybrid approach to learning-driven development ‘vibe learning’ — it’s powered by AI guidance but rooted in learning science.

Your project becomes the curriculum 

Rather than teaching concepts in the abstract and hoping learners translate them later, AI Builder removes that translation tax entirely. “We’re showing you specifically your code from your project and helping you understand it,” Zoe says.  

Rework your prototype in real time with the help of AI.

To build that personalized curriculum, the AI Builder breaks your project’s code into clear milestones and tasks. For each task, it generates an interactive learning loop, which is an activity designed to help you form a mental model of what your specific code is doing.  

These loops help you understand the logic behind each part of your project, so you can confidently apply the same thinking to other sections, or even future projects. This approach also ensures everything you learn is directly relevant to what you’re making — so you don’t have to guess when you’ll ever use this. 

Why this is vibe learning (not vibe coding) 

A key misconception about AI‑assisted development is that it makes learning superficial. AI Builder challenges that by grounding the entire experience in learning science rather than simple code generation. Our entire system is intentionally designed for you to retain knowledge. So, while it might not feel like you’re taking a course, you’re absorbing key concepts just by interacting with AI-generated code.  

A Socratic AI, not an answer-spitting chatbot 

Our educational AI chatbot is designed to guide you toward an answer through an in-depth questioning approach that’s based on the Socratic method of teaching. Instead of spitting out shortcuts or answers like AI typically does, you get strategic nudges, hints, and questions that build durable mental models.  

Research on AI in education shows that just providing an answer makes it harder for learners to retain the information on their own. Zoe compares the Socratic AI to “a personalized tutor, facilitating you acquiring more knowledge, so you’re not totally left on your own.” Our method encourages you to think critically so you really grasp the concepts and can continue to use them in the real world.  

Learning loops with real instructional design 

Behind the scenes, every learning loop in the Learn tab is built on proven frameworks like inductive learning and the 5E model, a popular STEM teaching framework that’s shorthand for engage, explore, explain, elaborate, and evaluate.

You’ll notice that the questions and exercises in the Learn tab feel different than the rest of our courses and paths, and that’s intentional. “The learning loops are designed very well — they get you there inductively,” Zoe says. They’re exploratory without being overwhelming, and evaluative without feeling like tests.  

Negar Vahid, a beta tester for the AI Builder appreciated the AI’s interactive question format. “The question-based learning feels engaging, and the starter project it builds is simple but useful,” she says.  

This structure ensures you don’t develop the wrong mental models — a known risk in fully constructivist or student-centered environments — while still giving you the freedom to explore.

Why learn when AI can build? 

There are some projects that are well-suited for simply vibe coding, like making a personal HTML website or a single-use script to automate a one-time task. Tools like Lovable and v0 are suited exactly for these types of projects.  

The longer your code needs to live, and the more complex your project becomes, the more you need to actually understand what you’re building. Joe Holmes, Codecademy Curriculum Developer in the AI and machine learning domain, uses the term “ignorance debt” to describe what happens when you don’t: 

“It’s like tech debt squared. It’s much, much worse,” Joe says. “You don’t know what kind of code is coming out. You just are only looking at: Does this kind of generally appear to be what I asked for? You don’t know if there are security flaws. You don’t know if there are performance flaws. You don’t know if you’re leaking sensitive information. You don’t know how to fix anything.” 

The tipping point comes down to two factors: complexity and time. If you’re developing software professionally, you’re legally responsible for the code you output. If you’re building something that will serve actual users, you need to be accountable for security, performance, and maintainability. And if your project will need updates or fixes over time (which most do) understanding your codebase becomes essential, not optional. 

The good news? Learning doesn’t have to feel like eating your vegetables. “Kids hate veggies and broccoli because we don’t cook it well enough to make it tasty when we first introduce it to them,” says Nhi Pham, Codecademy Curriculum Developer. The same is true for teaching AI: “If you do it well, you’re inspiring people to have these very hygienic practices when working with AI,” she says.  

That’s exactly what AI Builder is designed to do — make learning feel as immediate and rewarding as building, so you develop good habits from the start rather than building a lifelong aversion to understanding your own code. 

Get started with the AI Builder 

AI isn’t a replacement for learning, it’s a tool — and a powerful one when it comes to education. Our new AI Builder allows for “just‑in‑time learning that’s highly personalized,” Zoe says. Even the best teachers or bootcamps can’t deliver that for every learner, on every project, instantly. Perhaps the most exciting vision is how AI changes what a learning environment can be. 

Zoe described it beautifully: “I imagine the AI Builder as a workspace… like having all your resources around you and an AI tutor in the background.” 

That’s the shift: from learning before you build to learning while you build. We can’t wait to see what you create. 

How to Update WordPress: The Ultimate Guide to Keeping Your Site Safe

0
How to Update WordPress: The Ultimate Guide to Keeping Your Site Safe

How to Update WordPress: The Ultimate Guide to Keeping Your Site Safe

We often see sites crash or get hacked simply because they aren’t kept current. These situations are easily avoided with a little routine maintenance. In this post, I’ll show you how to update WordPress effectively to keep your site running at its prime.


Responsibilities of WordPress owner

Owning a self-hosted WordPress site is like owning a car. To keep it in tip-top condition, you must perform regular maintenance. Just as a car needs oil changes, your themes, plugins, and WordPress core must be updated to ensure everything stays secure and functional.

How to Update WordPress and Keep it Safe

The Golden Rule: Back Up First

Updates can feel scary because, on rare occasions, a plugin conflict can cause a glitch.

Because there is a small risk of things going wrong, always back up your database before you learn how to update WordPress and its components.

P.S You can also contact us if you need help!

What to Do if Things Go Wrong

Issues caused by updates are very rare, so don’t let fear prevent you from securing your site. If you ever run into trouble after an update, contact your hosting provider. Most hosts can help you restore your most recent backup quickly.


Prefer to stay hands-off? We can handle all your updates for you!

Discover our Worry-Free Website Care service.


Why WordPress Updates Are Essential

WordPress is constantly evolving. Every update is packed with security patches, bug fixes, and new features. Here is why staying current matters:

  • Security Fixes: According to WPBeginner, 83% of hacked WordPress sites are not updated. Hackers study release notes to find vulnerabilities in old versions. Updating immediately patches these holes and shuts the door on attacks.
  • Bug Fixes: No software is perfect. While some bugs are minor (like a disappearing sidebar), others can cause site crashes or security leaks. Developers are quick to fix these, but you only get the protection if you actually run the update.
  • New Features & Functionality: Since 2003, WordPress has been refining its platform. Staying updated ensures you always have access to the latest tools, faster speeds, and improved functionality for your themes and plugins.


How to Spot Available Updates

WordPress makes it easy to stay current. When you’re logged into your dashboard, look for the circular arrows icon in the top menu bar or the Updates tab in the sidebar. Both will show a notification bubble with the number of pending updates.

Clicking either link takes you to the WordPress Updates page, where you can update everything in one place. You can also see specific notifications within your Plugins tab next to any tool that requires an update.

How to find updates in your WordPress Dashboard

How to Update WordPress

Before attempting any updates, remember to backup your database. It’s also wise to plan to do your updates at a time when your traffic is at its lowest because your site may appear in maintenance mode for a few seconds during the updates.

When you are ready, visit your “WordPress Updates” page to perform your updates.

How to Update WordPress - updates panel

Once here, just click on any items listed here and click the update button.

WordPress Version

Check your WordPress core first. Most sites now use an auto-update system for minor releases, but if a manual update is available, click the update button to ensure you have the latest security patches.

Plugins

You can update all plugins at once, but I recommend updating them individually. Check your site between each update; if a glitch occurs, you’ll know exactly which plugin caused it. Always verify that the plugin is compatible with your current WordPress version before clicking “Update.”

Themes

Perform updates for the Genesis Framework and even inactive themes. If you are using one of our designs, updating the Genesis Framework is safe and will not disrupt your site’s layout.


Want us to handle your updates and maintenance for you?

Discover our Worry-Free Website Care service.


Are there any other questions you have about WordPress updates that weren’t covered in this post? If so, please share them as a comment and we’ll do our best to answer them. We can also help you with the updates. Contact us to get more information about that.

Happy updating!

Related posts:

Why the Future of Learning Starts with Building

0

Coding has always served two purposes: the intrinsic drive to build something, and the practical path to a lucrative career. Even the most passionate code aficionados don’t dream of variables or syntax — they want to make a website, a tool, a game. For years, the career upside was impossible to ignore. You could land a stable SWE job, bootstrap your own app, or join a buzzy startup as a first hire.  

Generative AI flipped the script. AI now handles the repetitive tasks that used to define entry-level developer roles. At the same time, the barrier to entry for coding and building is lower than ever — you can spin up a working prototype with just an idea and a natural language prompt.  

This shift hasn’t eliminated the desire to code, but it’s changed what and who coding is for. If you’re not learning to land a junior dev role, you’re learning to build the thing you’ve been imagining, to add a technical skill to your existing career, or to understand the tools you’re already using at work. And here’s the catch: those goals all require understanding your code, not just having code that works. 

At Codecademy, all of these changes excite us about the future of learning to code. We’re introducing the AI Builder, a new project-based learning tool that flips the script by teaching you how to work with AI-generated code from the start. Our approach brings together the immediacy of modern AI tools and the rigor of real instructional design.

Why we created the AI Builder 

AI’s speed and efficiency often come with a tradeoff; you can get working code immediately, but you don’t really know what it’s giving you or why it’s built a certain way. Developers use the term “vibe coding” to describe this phenomenon — it’s fast, fun, but shallow; great for demos, less great for long-term skill-building.  

If your goal is to understand what you’re building, generic AI output alone won’t get you there. And the more you push these tools into real-world complexity, “the harder it is for them to give you exactly what you want,” says Zoe Bachman, Head of Learning at Codecademy.  

Switch to Learn for behind-the-scenes insights and your personalized roadmap.

With the AI Builder you get an education along with the AI output. In the workspace, you can toggle between two tabs: Build, where you work directly with a project and can modify and change code in real time; and Learn, where you get a personalized learning roadmap that’s based on your project.  

“We pair the experience of having a working app with a learning path that allows you to reverse engineer how it’s built, so you can deeply understand it and modify it confidently,” Zoe says. We’re calling our hybrid approach to learning-driven development “vibe learning” — it’s powered by AI guidance but rooted in learning science.  

Build first; learn continuously 

With AI Builder, you start with what you want to do: build the thing in your head. Whether that’s a habit tracker, a portfolio site, or the seed of a bigger idea, you don’t need to have prior coding knowledge to learn and build with the AI Builder. In other words, there are no pre-requisites for creation.  

You create a prototype by typing what you’d like to create in natural language. The AI chatbot will ask a few clarifying questions about your needs and overall goal before generating the project. Once the project is created, you can use the chat function to continue describing what you want. (You’re also welcome to go right into the code and start making changes if you already know your way around!)  

“It was fun to build something so quickly and be able to see the code and a learning plan for it,” says Grace Krishna, a Code Crew member who beta tested the AI Builder.   

When you need clarity on what’s going on behind the scenes in your code, or you hit a wall with AI, that’s a great time to flip over to the Learn tab.  

We’re calling our hybrid approach to learning-driven development ‘vibe learning’ — it’s powered by AI guidance but rooted in learning science.

Your project becomes the curriculum 

Rather than teaching concepts in the abstract and hoping learners translate them later, AI Builder removes that translation tax entirely. “We’re showing you specifically your code from your project and helping you understand it,” Zoe says.  

Rework your prototype in real time with the help of AI.

To build that personalized curriculum, the AI Builder breaks your project’s code into clear milestones and tasks. For each task, it generates an interactive learning loop, which is an activity designed to help you form a mental model of what your specific code is doing.  

These loops help you understand the logic behind each part of your project, so you can confidently apply the same thinking to other sections, or even future projects. This approach also ensures everything you learn is directly relevant to what you’re making — so you don’t have to guess when you’ll ever use this. 

Why this is vibe learning (not vibe coding) 

A key misconception about AI‑assisted development is that it makes learning superficial. AI Builder challenges that by grounding the entire experience in learning science rather than simple code generation. Our entire system is intentionally designed for you to retain knowledge. So, while it might not feel like you’re taking a course, you’re absorbing key concepts just by interacting with AI-generated code.  

A Socratic AI, not an answer-spitting chatbot 

Our educational AI chatbot is designed to guide you toward an answer through an in-depth questioning approach that’s based on the Socratic method of teaching. Instead of spitting out shortcuts or answers like AI typically does, you get strategic nudges, hints, and questions that build durable mental models.  

Research on AI in education shows that just providing an answer makes it harder for learners to retain the information on their own. Zoe compares the Socratic AI to “a personalized tutor, facilitating you acquiring more knowledge, so you’re not totally left on your own.” Our method encourages you to think critically so you really grasp the concepts and can continue to use them in the real world.  

Learning loops with real instructional design 

Behind the scenes, every learning loop in the Learn tab is built on proven frameworks like inductive learning and the 5E model, a popular STEM teaching framework that’s shorthand for engage, explore, explain, elaborate, and evaluate.

You’ll notice that the questions and exercises in the Learn tab feel different than the rest of our courses and paths, and that’s intentional. “The learning loops are designed very well — they get you there inductively,” Zoe says. They’re exploratory without being overwhelming, and evaluative without feeling like tests.  

Negar Vahid, a beta tester for the AI Builder appreciated the AI’s interactive question format. “The question-based learning feels engaging, and the starter project it builds is simple but useful,” she says.  

This structure ensures you don’t develop the wrong mental models — a known risk in fully constructivist or student-centered environments — while still giving you the freedom to explore.

Why learn when AI can build? 

There are some projects that are well-suited for simply vibe coding, like making a personal HTML website or a single-use script to automate a one-time task. Tools like Lovable and v0 are suited exactly for these types of projects.  

The longer your code needs to live, and the more complex your project becomes, the more you need to actually understand what you’re building. Joe Holmes, Codecademy Curriculum Developer in the AI and machine learning domain, uses the term “ignorance debt” to describe what happens when you don’t: 

“It’s like tech debt squared. It’s much, much worse,” Joe says. “You don’t know what kind of code is coming out. You just are only looking at: Does this kind of generally appear to be what I asked for? You don’t know if there are security flaws. You don’t know if there are performance flaws. You don’t know if you’re leaking sensitive information. You don’t know how to fix anything.” 

The tipping point comes down to two factors: complexity and time. If you’re developing software professionally, you’re legally responsible for the code you output. If you’re building something that will serve actual users, you need to be accountable for security, performance, and maintainability. And if your project will need updates or fixes over time (which most do) understanding your codebase becomes essential, not optional. 

The good news? Learning doesn’t have to feel like eating your vegetables. “Kids hate veggies and broccoli because we don’t cook it well enough to make it tasty when we first introduce it to them,” says Nhi Pham, Codecademy Curriculum Developer. The same is true for teaching AI: “If you do it well, you’re inspiring people to have these very hygienic practices when working with AI,” she says.  

That’s exactly what AI Builder is designed to do — make learning feel as immediate and rewarding as building, so you develop good habits from the start rather than building a lifelong aversion to understanding your own code. 

Get started with the AI Builder 

AI isn’t a replacement for learning, it’s a tool — and a powerful one when it comes to education. Our new AI Builder allows for “just‑in‑time learning that’s highly personalized,” Zoe says. Even the best teachers or bootcamps can’t deliver that for every learner, on every project, instantly. Perhaps the most exciting vision is how AI changes what a learning environment can be. 

Zoe described it beautifully: “I imagine the AI Builder as a workspace… like having all your resources around you and an AI tutor in the background.” 

That’s the shift: from learning before you build to learning while you build. We can’t wait to see what you create. 

Comment on Internal vs External Learning Systems, Easy to Explain? by Craig Weiss

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Comment on Internal vs External Learning Systems, Easy to Explain? by Craig Weiss

There is no simple answer regarding the differences between internal and external learning systems. The landscape is complex with various types of learning systems, including Learning Management Systems (LMS), Learning Platforms, Talent Development Platforms, Learning Experience Platforms (LXP), and Mentoring Platforms, each serving different audiences such as employees, customers, clients, partners, and distributors.

Internal Learning Systems

Internal systems focus on onboarding, skilling, and upskilling employees. Key features include:

  • Skill Development: Tools for reskilling employees, offering coaching, mentorship, and opportunities to practice new skills.
  • Content Specificity: Content delivery aligned with job roles and personal development goals.
  • Skill Ratings and Job Roles: Mechanisms to rate skills and align job roles with opportunities, requiring managerial oversight for approvals.

External Learning Systems

In contrast, external systems emphasize customer training and engagement, characterized by:

  • Multi-tenant Capabilities: Ability to serve various external audiences.
  • E-commerce Features: Systems that support customer transactions, particularly in training environments.
  • Data-Driven Metrics: Insights centered around customer training, helping organizations track performance and completion rates.

Key Differences

  1. Focus Areas: Internal systems prioritize employee development, while external systems cater to clients and customers.
  2. Metrics Usage: Internal metrics revolve around learning paths for employees, whereas external metrics focus on customer engagement and training effectiveness.
  3. Functionality: Internal systems might lack certain features for external audiences, like extensive e-commerce capabilities.
  • Goal Management
  • Workflows—Customer training vendors who have plunged into internal may have it, but it will not be as strong as an internal system —that said, plenty of internal systems lack it.
  • Workflows that are expanding far more than current – this is a growing trend with internal – Learn Amp has it. Impressive.
  • Job Roles are intertwined with skills and content and are becoming tied to external sources, too. However, this is not universal. The job roles are the key here. Combos really have it—again, it is not universal.
  • Job Role driven
  • Strong level with skill ratings – If a vendor plays internally at a greater level, they will usually have this. Skill ratings are becoming universal, except when the vendor is 98 to 100% only customer training – external. Combos are all over the map with this. For example, Docebo has it and plays stronger externally – audience-wise – but feature sets are a perfect example of trying to do both segments. They have skill ratings, but compared to a Cornerstone, it isn’t at that tier. Neither do several other vendors who are at a Cornerstone level.
  • Skills Management—From skill mapping to skills capabilities, internal will always be stronger here. Combos can be solid, but they haven’t, in my opinion, achieved a level of heavy internal. And a combo that is more external but plays internal, who has it, has yet to penetrate at a solid level.
  • Metrics are all around L&D – That said, being great at it versus yuck is common. It seems to be either you are good at doing it or poor. Jekyll and Hyde here. I always note that if you can’t look at your data and get a firm idea of your learning story, which you should, it is a colossal failure. Anyway, this is a key piece I always look at, and I can tell in less than two minutes whether they are heavy internal and good at it or solid or strong internal and horrible at it. External – their metrics are not even close to this, even in the Combo space. If they are only External, their metrics are all around external.
  • Roles tied to Opportunities—clear. The funny thing is that a vendor who is one of the few attending LXPs out there, as in that is the core, has the roles, skills, and opportunities available. Combos—yeah, it can be brutal out there.
  • Learn Amp—They are all about internal. You can do external with them, sure. But their focus and core are internal. That should be a huge hint when you call yourself an employee development platform.
  • Juno Journey – If a vendor says they are an L&D platform – huge hint – they are core internal.
  • Cornerstone LMS, even Cornerstone Learn – Internal heavy. Again, you can do external; you get the point if a vendor offers multi-tenant and an extended enterprise option (the term should be customer training). You can do internal only with multi-tenants like you have dozens of LOBs or want to streamline all your systems under them. They now include a mentoring-heavy piece in their LMS – at no charge. Mentoring is internal – down the road, I see it externally, too – as a combo.
  • BizLMS plus BizSkills – Internal only. I would do it with both platforms. L&D is only here.
  • Docebo—As my rankings show, they are really good and skew internal, but they do have enough functionality for external. I would put them in play for internal. They are a legitimate threat.
  • Access Learning – Focus is on compliance – total internal
  • Acorn PLMS – Internal. Internal – hey, did I mention internal?
  • Kallidus – Heavy internal. It plays externally, too – but this screams internal.
  • SuccessFactors LMS—They are as internal as you can get, despite being underwhelming as a system.
  • Workday Learning—See above. They can meet with SuccessFactors and hang out together. Who brought the hot dogs?
  • Zensai Learn365 – Internal heavy. You may have heard of LMS365 – that is, well, sort of them, before acquisition.
  • Spark Learn—It’s all about front-line workers, including blue-collar workers. This is internal. Feature-wise, it’s not strong in many of those areas. Okay, they miss a few. But yeah, internal.
  • Schoox – They started to enter the customer training segment, which is odd because they are heavily tailored around internal. I wouldn’t buy them for customer training.
  • KREDO – Internal heavy. They dispute this, and you can go external, but I believe it is more internal.
  • Thirst—Internal focus. Is it a true LXP? I’m not seeing it. It has a lot of functionality, but from a serious LXP segment standpoint, nope.
  • Multi-tenant, with many options beyond what an internal can do. The challenge here is those combo systems—they can be a lot like an external, depending on the growth of one segment versus another.
  • E-Commerce—Customer Training will have it—whether you have to pay to use the service is a different question. In Combo land, the majority offer it—I mean Combo, which means both sides. The top ones on the Combo side do a far better job here.
  • Assigned Learning isn’t the focus here. If they offer it, well, it means they offer it. Nowadays, heavy CT offers it—not by choice; those darn Combos are causing it.
  • Metrics—The King Kong—All the metrics are around customer training. You can look at a customer training platform, take a look at those metrics, and it will tell you its learning story. If the vendor plays heavily in association land, then their metrics will have a solid set for external but a solid set for internal. Again, Combo here. This is one way to say, “Okay, this system is heavy for customer training.”
  • Eurekos is 100% focused external. Plus, they bill monthly, so you pay only for those in it—rare but plays well into the customer training side.
  • Thought Industries – 98% external. Super strong here.
  • Absorb LMS—Combo, but I like them more for external use. They can also go internal. The system goes about 50-50 here. I see them as a vendor who can do some serious damage in the external space, so I slide them here. If you want them for internal use, they have all the items noted above.
  • Intellum – Always played heavily in external.
  • Learning Cart – External full throttle.
  • NetExam – External.
  • Docebo – Combo land. They play more on the external side, but as noted earlier, they can do very well on the internal side. Can the top Combos do this? Can the rest? Well, a middle pack, the rest? Forget about
  • LearnUpon – Combo – They do a good job with external, hence the slide here.
  • Skill Jar—They do have some metrics for externals, but the idea that they are all about external is erroneous, in my opinion. See the case study above for more information on the other part.
  • Plenty of others – but yeah, I’m sure you found them.

Comment on Internal vs External Learning Systems, Easy to Explain? by Terry Lydon

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Comment on Internal vs External Learning Systems, Easy to Explain? by Terry Lydon

There is no simple answer regarding the differences between internal and external learning systems. The landscape is complex with various types of learning systems, including Learning Management Systems (LMS), Learning Platforms, Talent Development Platforms, Learning Experience Platforms (LXP), and Mentoring Platforms, each serving different audiences such as employees, customers, clients, partners, and distributors.

Internal Learning Systems

Internal systems focus on onboarding, skilling, and upskilling employees. Key features include:

  • Skill Development: Tools for reskilling employees, offering coaching, mentorship, and opportunities to practice new skills.
  • Content Specificity: Content delivery aligned with job roles and personal development goals.
  • Skill Ratings and Job Roles: Mechanisms to rate skills and align job roles with opportunities, requiring managerial oversight for approvals.

External Learning Systems

In contrast, external systems emphasize customer training and engagement, characterized by:

  • Multi-tenant Capabilities: Ability to serve various external audiences.
  • E-commerce Features: Systems that support customer transactions, particularly in training environments.
  • Data-Driven Metrics: Insights centered around customer training, helping organizations track performance and completion rates.

Key Differences

  1. Focus Areas: Internal systems prioritize employee development, while external systems cater to clients and customers.
  2. Metrics Usage: Internal metrics revolve around learning paths for employees, whereas external metrics focus on customer engagement and training effectiveness.
  3. Functionality: Internal systems might lack certain features for external audiences, like extensive e-commerce capabilities.
  • Goal Management
  • Workflows—Customer training vendors who have plunged into internal may have it, but it will not be as strong as an internal system —that said, plenty of internal systems lack it.
  • Workflows that are expanding far more than current – this is a growing trend with internal – Learn Amp has it. Impressive.
  • Job Roles are intertwined with skills and content and are becoming tied to external sources, too. However, this is not universal. The job roles are the key here. Combos really have it—again, it is not universal.
  • Job Role driven
  • Strong level with skill ratings – If a vendor plays internally at a greater level, they will usually have this. Skill ratings are becoming universal, except when the vendor is 98 to 100% only customer training – external. Combos are all over the map with this. For example, Docebo has it and plays stronger externally – audience-wise – but feature sets are a perfect example of trying to do both segments. They have skill ratings, but compared to a Cornerstone, it isn’t at that tier. Neither do several other vendors who are at a Cornerstone level.
  • Skills Management—From skill mapping to skills capabilities, internal will always be stronger here. Combos can be solid, but they haven’t, in my opinion, achieved a level of heavy internal. And a combo that is more external but plays internal, who has it, has yet to penetrate at a solid level.
  • Metrics are all around L&D – That said, being great at it versus yuck is common. It seems to be either you are good at doing it or poor. Jekyll and Hyde here. I always note that if you can’t look at your data and get a firm idea of your learning story, which you should, it is a colossal failure. Anyway, this is a key piece I always look at, and I can tell in less than two minutes whether they are heavy internal and good at it or solid or strong internal and horrible at it. External – their metrics are not even close to this, even in the Combo space. If they are only External, their metrics are all around external.
  • Roles tied to Opportunities—clear. The funny thing is that a vendor who is one of the few attending LXPs out there, as in that is the core, has the roles, skills, and opportunities available. Combos—yeah, it can be brutal out there.
  • Learn Amp—They are all about internal. You can do external with them, sure. But their focus and core are internal. That should be a huge hint when you call yourself an employee development platform.
  • Juno Journey – If a vendor says they are an L&D platform – huge hint – they are core internal.
  • Cornerstone LMS, even Cornerstone Learn – Internal heavy. Again, you can do external; you get the point if a vendor offers multi-tenant and an extended enterprise option (the term should be customer training). You can do internal only with multi-tenants like you have dozens of LOBs or want to streamline all your systems under them. They now include a mentoring-heavy piece in their LMS – at no charge. Mentoring is internal – down the road, I see it externally, too – as a combo.
  • BizLMS plus BizSkills – Internal only. I would do it with both platforms. L&D is only here.
  • Docebo—As my rankings show, they are really good and skew internal, but they do have enough functionality for external. I would put them in play for internal. They are a legitimate threat.
  • Access Learning – Focus is on compliance – total internal
  • Acorn PLMS – Internal. Internal – hey, did I mention internal?
  • Kallidus – Heavy internal. It plays externally, too – but this screams internal.
  • SuccessFactors LMS—They are as internal as you can get, despite being underwhelming as a system.
  • Workday Learning—See above. They can meet with SuccessFactors and hang out together. Who brought the hot dogs?
  • Zensai Learn365 – Internal heavy. You may have heard of LMS365 – that is, well, sort of them, before acquisition.
  • Spark Learn—It’s all about front-line workers, including blue-collar workers. This is internal. Feature-wise, it’s not strong in many of those areas. Okay, they miss a few. But yeah, internal.
  • Schoox – They started to enter the customer training segment, which is odd because they are heavily tailored around internal. I wouldn’t buy them for customer training.
  • KREDO – Internal heavy. They dispute this, and you can go external, but I believe it is more internal.
  • Thirst—Internal focus. Is it a true LXP? I’m not seeing it. It has a lot of functionality, but from a serious LXP segment standpoint, nope.
  • Multi-tenant, with many options beyond what an internal can do. The challenge here is those combo systems—they can be a lot like an external, depending on the growth of one segment versus another.
  • E-Commerce—Customer Training will have it—whether you have to pay to use the service is a different question. In Combo land, the majority offer it—I mean Combo, which means both sides. The top ones on the Combo side do a far better job here.
  • Assigned Learning isn’t the focus here. If they offer it, well, it means they offer it. Nowadays, heavy CT offers it—not by choice; those darn Combos are causing it.
  • Metrics—The King Kong—All the metrics are around customer training. You can look at a customer training platform, take a look at those metrics, and it will tell you its learning story. If the vendor plays heavily in association land, then their metrics will have a solid set for external but a solid set for internal. Again, Combo here. This is one way to say, “Okay, this system is heavy for customer training.”
  • Eurekos is 100% focused external. Plus, they bill monthly, so you pay only for those in it—rare but plays well into the customer training side.
  • Thought Industries – 98% external. Super strong here.
  • Absorb LMS—Combo, but I like them more for external use. They can also go internal. The system goes about 50-50 here. I see them as a vendor who can do some serious damage in the external space, so I slide them here. If you want them for internal use, they have all the items noted above.
  • Intellum – Always played heavily in external.
  • Learning Cart – External full throttle.
  • NetExam – External.
  • Docebo – Combo land. They play more on the external side, but as noted earlier, they can do very well on the internal side. Can the top Combos do this? Can the rest? Well, a middle pack, the rest? Forget about
  • LearnUpon – Combo – They do a good job with external, hence the slide here.
  • Skill Jar—They do have some metrics for externals, but the idea that they are all about external is erroneous, in my opinion. See the case study above for more information on the other part.
  • Plenty of others – but yeah, I’m sure you found them.

Comment on Top 10 Learning Systems 2024 by Skillable Launches New Performance-Based Validation – The HR Gazette and HRchat Podcast

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Comment on Top 10 Learning Systems 2024 by Skillable Launches New Performance-Based Validation – The HR Gazette and HRchat Podcast
Summary

Top 10 Learning Systems of 2024: Key Insights & Rankings

As 2025 approaches, the learning technology industry has seen significant advancements, with competition among the top systems tighter than ever. The rankings highlight various platforms excelling in employee development, customer training, and skills-based learning.

Key Trends & Insights

  • Narrow Margins & Ties—The competition was razor-thin, with several systems tied in rankings, reflecting the industry’s rapid evolution.
  • Diverse Solutions – The list includes platforms catering to enterprises, customer education, and upskilling.
  • AI’s Role – While some vendors integrate AI for personalization and automation, AI adoption did not influence the final rankings.

Top 10 Learning Systems of 2024

  1. Learn Amp – Best for employee development, featuring a modern UI/UX and powerful reporting.
  2. Cornerstone OnDemand – Strong in skill management, mobile learning, and user-friendly design.
  3. Docebo LMS – Notable for extensive features and AI-driven content delivery.
  4. Thought Industries – Excels in customer training but could improve data metrics.
  5. LearnUpon & D2L for Business (Tied) – Both are praised for streamlined administration and customer training.
  6. Eurekos – Effective in customer training with a strong focus on analytics, preparing for future AI integration.
  7. CYPHER Learning & 360Learning (Tied) – Stand out for collaboration-driven learning and user engagement.
  8. Learnster – Uses AI for highly personalized learning experiences.
  9. Hive Perform – Specializes in sales training with AI-driven practical scenarios.
  10. Skillable – Known for its hands-on lab-building tools but needs improvements in user engagement.

With these innovations, the learning technology space is set for even more significant transformations heading into 2025.

  • Combo—This is the most common type of system in the industry. It focuses on internal (L&D, employees) and external (Training, and what I wrote up around CS) aspects. The system always skews one way (internal) or the other (external). And yes, it is common to have a combo system that offers multi-tenant—aka parent-child.

I didn’t place in verticals (because vendors always claim they cover all verticals or selectively choose them). However, if a MonsterXTW company with 500,000 users, not in their vertical, comes knocking, I’m betting they’ll take MonsterX.  

Not everyone can jump into a lab and figure it all out. And frankly, I don’t believe that the administrator—or whoever is tasked with creating the lab or its content—can either.

When it comes to training people or Learning and Development, there’s often an assumption that IT will handle it. But let me be clear: this is a scenario I do not recommend.

So, what is Skillable Studio?

At its core, Skillable Studio is an authoring tool designed specifically for creating labs.

However, it goes far beyond the basics.

When you use Studio, you also gain access to analytics tied directly to its usage, offering valuable insights.

Other standout features include:

These templates are handy for individuals who prefer ready-made solutions but still want the flexibility to customize. Think of them as tools to support tailored training and instructional design, helping you develop guided lab experiences that meet diverse needs.

If gamification is on your radar, Skillable incorporates it seamlessly into its labs.

That said, it is not without its challenges.

While Skillable’s UI/UX is solid, they still need some refinement.

Specifically, the platform falls a bit short in terms of learner engagement—something I believe users would greatly appreciate.

Another point of contention for me is the option to bring in content from third-party vendors.

  • Create Learner – Anyone can see this and go, okay, click
  • Create Learning Initiative
  • Create Featured Playlist

#9 Hive Perform by Hive Learning (Combo, internal and external)

#8 Learnster (Combo) (FAL)

  • You want AI? Here you go. Yes, we are still in the baby stage with AI – nevertheless, they lead the industry.
  • Learning Companion – The companion is all about informal learning, whereas a learner using AI can choose text, quizzes, learning casts, and other formats that suit the way they learn. This includes thereafter learning paths for that specific learner – HUGE
  • The ability to select a variety of synthetic voices for your personal agent, including specific accents. Do you want an agent to have a British accent? You can.
  • Remixes are the coolest capability I have seen, period. A learner using their space can select a variety of pieces of content, including say podcasts (coming in 2025)—but I mention it here only because of how this works—and remix them in a different journey. Thus, maybe organizational content, third-party courses, PDFs, audio files, and remix. I love it.
  • When using AI – you choose your companion mode – Scholar, Coach, Expert – the system is all about learners first – which it should be. And individuality – rather than the assumption, let’s push out content and quizzes for everyone – assuming everyone learns the same way.
  • Compliance capabilities – Data visualization and the key information you need to know
  • The home page, while currently resembling a familiar layout seen in platforms like Netflix, is in need of a fresh and innovative approach. The industry is saturated with similar designs, and it’s time to break the mold. Inspire with something new and exciting.
  • Better metrics—the internal is solid, but what about customer training? Not so much. Plus, on the metrics side as a whole, ensure it tells me my learning story.

#7 (tie) 360Learning (Combo, but skews internal)

  • Their mobile app is the highest-rated app for learning systems on Google Play and iTunes.

But this system, while it offers many whams across the platform, does have a few warts.

  • The metrics for activities include “views” – you already know my feelings there.
  • The system’s SCORM feature, while functional, could be more user-friendly.
  • It’s not immediately clear that the system supports SCORM 1.2, SCORM 2004 3rd edition, and SCORM—xAPI until you click SCORM.
  • This lack of clarity could be improved.
  • The collaborator’s aspect, even after I was shown how it worked, left me with some concerns.
  • I didn’t see a comprehensive list of their capabilities within the system, which made me feel uncertain.
  • The lack of visible metrics to gauge their success or failure on the learner side seems like a missed opportunity for improvement.

#7 (tie) CYPHER Learning (Combo) (FAL)

  • The task journey feature, located on the right side of the screen, is a valuable tool that guides users through tasks, enhancing their learning experience. The content creator, listed as a course, offers a range of options including gamify, writing style, persona, and synthetic audio, each designed to enhance and personalize course content. The writing style was also engaging. There were a few options, but I didn’t see how I could see what each style “looks” like. A hover item would suffice.
  • The admin side was both a plus and a minus. There were a lot of options on the plus side, but I felt it could have been streamlined.
  • The whole copilot mechanism played off, IMO, is the term itself. Does copilot have a place in the AI industry since Microsoft led the charge? It has some issues. And why would I want it when a personalized agent can go way beyond copilot – now, and I believe as AI evolves.
  • Gamification was another winner—from the standpoint that you could offer it in ways such as optional tasks people have to do—although there are potential consequences.
  • From the Gamify standpoint, I did find that different departments, for example, can create their own learning games
  • AI may produce fake or false information, so check before accepting it. It appears in various places on the admin side.
  • UI/UX is slick
  • Skills are strong in terms of approach, design, and output.
  • I like using Multiple LLMs, rather than the common method I see, where vendors are using only one
  • Under the content creator (again, they note this as a course), I was baffled as to why traditional educators and another type of educator were listed. If I am targeting corporate, why would I select educator, which is a higher education and even a primary/secondary option?
  • I didn’t like the option of having this as a micro-learning course because the term alone is misleading. Anybody at any time, even back in 1999, could create a short – mini-course. I get that people still think this is “magical” because some vendors push this term or state their platform is a micro-learning platform. Always remember that short means short, and the duration will differ depending on what the learner wants to do in the course. Anyway, short never means good.
  • AI cross-check is interesting, but for all the info about notifying people about fake or false information, it doesn’t appear with cross-check
  • Metrics need improvements
  • I’m not a fan of the fact that depending on whether or not it is successful in terms of features or capabilities rolled out using learners/admin, etc., it will get shelved.
  • It implies that you are not the expert – which is what you will assume when you buy the system.

#6 Absorb LMS (Combo) (FAL)

#6 Eurekos (External, including Associations) (FAL)

Wins:

  • Tax management
  • Incentives – Huge fan of tapping gamification into a reward store, where learners can get well-rewarded. Adults love that.
  • Analytics that tell me my learning story
  • Unlimited multi-tenants (i.e., parent-child – children – also known as extended enterprise
  • Never a fee for you wanting/using customer training – multi-tenant (aka extended enterprise)
  • Robust system at a very affordable price point

#5 LearnUpon (FAL) (Combo including associations)

#5 D2L for Business (Combo including associations, entering L&D segment)

A two-way tie – LearnUpon, and D2L for Business

In no particular i.e. order, like why is X ahead of Y?

Because I just wrote it that way.

LearnUpon

Learner Home Page, Admin page

  • D2L’s extensive set of metrics and data is not just a feature, but a practical tool that tells your learning story. Functionality-wise, it matches the well-known players in the market that people perceive as leaders in the various segments
  • It is way better than Crowd Wisdom, the leader for reasons I still can’t figure out beyond it is tied to an association management platform – which FWIW D2L can tap integrate with too – plus any other association management platforms too (I should note that D2L has a system for associations, which I love as well)
  • D2L is the #1 learning system for the association market, three years running
  • They play strongly in the customer training market, with, wait for it – unlimited multi-tenant (parent-child, i.e., unlimited children). Do you know how many vendors do this? I can tell you, not many. In fact, on my top 10, three – including D2L. You may think, well, that is a lot – but seriously, beyond those three, not an extensive list does. Minute is the right word.
  • Content Creator+ offers numerous options for delivering content. One factor in its power is the acquisition of H5P, which provides flexibility for those who have some ID skill sets.
  • Workforce development components that are easy to use and figure out—I kid you not, there are a lot of vendors whose WD options are easy to use —and ease of use are two terms that should not be combined as one.
  • Ease of use—on the learner and admin sides—is enormous for the admin side. The learner is good, too, but the admin is big.
  • Their onboarding approach, identifying and training two additional folks who are not on the training side, is brilliant. If the admin or head of training wins the lotto, who is going to jump in and handle it? Not Barney in HRIS—unless Rubble is their last name.
  • The system’s robust data reporting for customer training is truly impressive, providing a wealth of information and insights.This executive Summary gives you a quick snapshot of your site, learners, and financial performance—right to the point data that you will need.
  • Their learner side’s functionality is strong and easy to use, to exist.
  • It is a very robust system that still understands who is overseeing it, including who is running training or whatever their title is. Customer training is overwhelmingly about making money, and having metrics that identify what is working is huge.
  • Early adopters of AI – and they are very aware of the pitfalls, and recognizing that we still have a long way to go
  • An admin “zone” where everything you need for a variety of tasks associated with customer training, and yes, L&D—internal—is available. You do not need to look for these options, as many systems require you to do so—and I am referencing specifically for VLT and ILT.
  • Dedicated project manager and implementation consultant – LOVE it.
  • Advanced Enhancement
  • Panorama
  • E-Commerce – I wish this was included as part of the system, without you having to pay extra for it – very robust with everything you will need, without having to go all over the place to find 3rd party pieces
  • Advanced integration – BI-Connector – should be an extra cost, along with other integrations – very common in the space to charge; some items should be included. IMO
Executive Summary

Top Three

  • Another vendor who added AI
  • E-commerce—you need it for customer training or any training you want to charge a fee for, even offering it as a freebie. Worse, you pay yearly for this privilege. If you are buying the system for customer training, give it to this use case for free. Simple.
  • Extended Enterprise is a legacy term since the key monsters in the space use either customer training or customer education. Anyway, it is a yearly fee, and they charge, I believe, to buy the number you want (on top of that). If my use case is customer training and I have five children, give it to me for free. Ditto if I have 25 children. There is a reason why, but this isn’t the time for it.
  • Salesforce—Nowadays, it is quite common in the industry to integrate and use your content, blah blah. I know of vendors who jumped into this before 2015. Ditto on the Microsoft Teams angle, too.

#2 Cornerstone OnDemand LMS (Combo, skews employees) (FAL)

  • Skills mapping with AI
  • Mentoring – with the usual deliciousness of the learner being matched with the mentor, based on whatever variables (options the mentoree) selects.

Can you tell me what your learning story is?

#1 Learn Amp (FAL) (Employees)

Bottom Line

There will be a version, second edition, available as a PDF arriving before the end of the month. It will cost you..NOTHING. It’s free but will have additional items such as updated images (when available – this requires vendor permission) and an AI synthetic voice – could it be mine (replaced by AI)?? – I say with a Jekyll like laugh!

The second version will be available by download – so you can share with colleagues.

I am aware of typos in this post – and rest assured that everything will be cleaned up by mid-next week (i.e. the 10th or so of Jan).

My goal was to publish this before the end of 2024, however, I wanted to provide as much depth an insight without this being an extensive report, that folks have to purchase to read or view.

For those keeping track – what you just read = 8,129 words, with an estimated read time of 49 minutes. Although for folks who skim, that means 10 minutes.

I’m fine with either. Take your time, take a few. The read time is based on a fancy reader thing I got, which I ignore, but since people always add “duration” to their course, and others mean it has to be, well, here is my fancy reader thing, and I added the duration, even though I promise to ignore it.

Just not the insight.

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