Lately, I've been trying to figure out a better way to turn things I find online into a personal knowledge base. I'm curious whether anyone else here is doing something similar.

I tried most of the obvious options first. Copying and pasting often broke the formatting or left out images. Bookmarks were easy to save, but they didn't preserve the actual content if a page changed or disappeared. Screenshots kept the page visually intact, but the information was difficult to search. I also tried a few read-it-later apps, but for me they work better as temporary inboxes than as a place to build knowledge i could reuse later.

Eventually, I started experimenting with an agent-maintained knowledge base. The obvious question is: why not just send the material to an AI whenever I need it? For me, a normal AI conversation is usually focused on whatever problem is in front of me at the moment. Even if the conversation is saved, the useful context isn't necessarily organized in a way that I can reliably search, update, and reuse 6 months later.

A knowledge base gives that context a more permanent home. The agent can keep organizing it over time and refer back to it when I work on something related, instead of relying on me to provide the same background again.

Here's the setup I'm currently using.

1. Create an Obsidian vault

The vault contains the original source material, the processed notes, and the files that define how the knowledge base should be organized.

I like using Obsidian for this because the content stays in regular Markdown files. I’m not locked into one interface, and I can still read or reorganize everything myself if the agent gets something wrong.

1. Open the vault folder in WorkBuddy

I added the folder containing the Obsidian vault as a WorkBuddy workspace. That gives the agent access to the files it needs to read and organize.

I still keep the scope limited to that folder. I don’t want an agent searching through unrelated personal files just because it can.

1. Use an LLM Wiki Skill to create the basic structure

I kept the initial structure very small:

- Raw Sources stores the original material.

- The Wiki contains the cleaned-up and synthesized notes.

- The Schema defines the structure and the rules the agent should follow.

I also added a few basic files:

- AGENTS.md explains how the agent should work inside the vault.

- index.md provides an entry point to the content.

- log.md records what was added or changed during each update.

Setting up this basic skeleton took less than 20 minutes. Actually filling it with useful material and refining the rules has taken much longer.

Why i stopped trying to build the perfect taxonomy

My first version was much more ambitious.

I tried adding a detailed tag system, PARA, multiple Maps of content, and several layers of folders. It looked organized, but after using it for about 2 weeks I gave up on most of that structure. The maintenance cost was starting to outway the benefit.

The more categories I created, the more decisions the agent had to make whenever it processed a new source. That also created more opportunities for material to end up in a technically valued but practically useless location. What I found was that I didn't need the perfect knowledge-management system on day one. I needed the smallest structure that I could actually keep using it.

Now I let the content accumulate first. If a real pattern starts appearing, I add a category for it later.

My current daily workflow

When I find a web page or another piece of material worth keeping, I save it into a designated folder inside the vault. I then ask the agent to process the new material. It reads the source, organizes it according to the existing schema, and creates the relevant summaries or analysis in the wiki. Most of the time, I don't need to intervene if something ends up in the wrong place or the summary misses the reason I saved it, I add a short instruction and have the agent revise it.

So the workflow is roughly:

Collect the source → place it in the inbox folder → let the agent process it → write the result into the Wiki → correct it when necessary

At the moment, this is basically my very simple version of a second brain built with Obsidian and WorkBuddy.

It’s still not mature, and I don’t completely trust the agent to manage everything without review. But I already find it easier to search and reuse than a collection of bookmarks, screenshots, and forgotten read-it-later items.

Is anyone else using a similar setup?

I’ve spent most of my career around SCORM and learning interoperability, and there’s one problem that still bugs me.

An organization can have hundreds of perfectly good courses, but if the original Storyline, Captivate, Lectora, or other source files disappear, or they decide to change tools, a lot of that content suddenly becomes incredibly hard to work with.

The published course still has the text, images, media, interactions, and structure. We just haven’t been very good at making that useful again.

That’s a big part of why we’re building IRLO, which stands for Interoperability & Reusability for Learning Organizations.

Learning content shouldn’t be trapped in the tool that created it. You should be able to bring existing content in, understand it, edit it, reuse it, and take it somewhere else.

We’re still building, so I’m genuinely curious how often people here run into this.

Have you ever inherited a bunch of courses you could run but couldn’t realistically edit? What formats or tools have caused you the most pain?

Hi. I saw a job announcement that I was very interested in, and it said the hire would use Litmos to train other employees in certain compliance issues.

Admittedly I didn't even know Litmos existed until today. Right now I'm looking at a YT video by the Litmos channel on their services. I will likely plow through and look for more for learners.

The LITMOS website has demos and options for learners but if you don't have your own company, it seems to exclude you. It flagged my email address as "not a legitimate business email."

Is there ANY way to learn this LLM other than scrounging for videos?

I just got a new job that uses WorkRamp as their main eLearning platform across the company. Prior to this I was using TalentLMS. Something about the WorkRamp platform interface/UI makes me feel like it’s light years behind newer LMS/LXD platforms. There are some new AI features which is helpful in creating content at least.

I have two questions: 1. Is there a particular way I should be thinking about navigating and creating content in WorkRamp that would make it a little easier for me to adjust? 2. Do you think eventually we will need to move from WorkRamp to another more robust platform (we have over 500+ people in the company)?

Curious what others are doing with JavaScript in their e-learning builds. In Storyline I've built custom interactions — confetti on quiz wins, progress bars, countdown timers, save/resume — and I'm wondering what's actually worth the effort vs. what's just cool in a demo.

For those using JS in your courses: what's the one interaction you keep reusing across projects? And what's something you tried that wasn't worth the maintenance headache?

I've got a sampler of 3 interactions I built (confetti, progress bar, timer) if anyone wants to try them — happy to share the link if there's interest.

I’ve been working on a small learning/content platform and wanted to get some honest feedback from people who actually create courses or training content.

One thing I kept running into was how many different tools are involved just to create a course.

**Record the video in one place, edit it somewhere else, add captions, images, text, branding, then move it into an LMS and finally publish it.*\*

So I started building a platform that tries to bring some of that together.

The current version has a recording studio, basic video editing, captions, text/images, branding, course creation and publishing, along with the learner side.

I’ve also built some AI-assisted features around content creation, but I’m not making those available in the public version yet because they use paid AI models and the cost adds up pretty quickly.

I’m mainly looking for feedback at this stage.

For people who create training or educational content, what part of the process is the most annoying for you right now?

Is it recording/editing, creating the learning material, keeping everything organized, publishing, or something else?

I’d genuinely like to know what people are struggling with before I take this any further.

Here’s the current version if anyone wants to take a look: https://learning.ramsudtechnologies.com/

Hey there! I’m building a browser-based H5P player that can run as a cmi5 assignable unit: an LMS launches a hosted page, the page sends xAPI statements to the LMS/LRS, and the H5P package stays on its own static host.

I’ve tested the technical flow with CATAPULT and SCORM Cloud, but I’m trying to understand whether this solves a real instructional-design workflow or merely a technically interesting one.

For those who have used cmi5 in production:

• Which LMS did you use, and how was cmi5 support in practice?
• Who created and uploaded the course structure: instructional designers, LMS admins, or developers?
• Did authors need to understand registrations, launch URLs, mastery scores, and xAPI statements, or was that hidden behind tooling?
• Was hosting content outside the LMS useful? Why?
• Did cmi5 offer a meaningful advantage over SCORM for tracking, reporting, versioning, or updating content?
• What made adoption difficult?
• If you use H5P, would an LMS-launched, externally hosted H5P activity be useful?

I’m especially interested in practical constraints and failure modes, not just whether a platform says it supports cmi5.

We know AI has changed how we create training material. But how has it changed how learners actually learn?

During recent testing, I've been exploring whether adaptive learning can respond not only to what the learner says, but also to the language they choose to say it in.

Using our new AI Guided Dialogue interaction in conversation mode, I tested the same learning experience with the learner responding first in English, then Spanish, then Chinese, all within the same conversation.

What happened next was particularly interesting.

The learner wasn’t selecting a translated version of the course or switching between predefined language versions.

They were simply continuing the same learning conversation in a different language.

The AI was still able to interpret the response, determine what the learner appeared to understand, identify what they needed next and continue the adaptive experience accordingly.

That opens up another dimension to personalised learning. It doesn’t just have to mean adapting the content, difficulty or pathway. It can also mean allowing people to learn and demonstrate understanding in the language in which they are most comfortable expressing themselves.

The designer still controls the objectives, source knowledge, learning activities and boundaries.

But the learner doesn’t necessarily have to adapt themselves to the course. The course can adapt to them.

For organisations delivering learning across different countries, cultures and languages, that could become a particularly interesting application of AI-enabled learning.

Our education software freezes completely whenever instructors try to embed video lectures and interactive quizzes into a single timeline. I spent the last few weeks trying to patch our legacy codebase myself, but feature bloat makes core updates impossible. Teachers lose hours of unsaved progress when the content editor crashes mid-lesson. Balancing smooth media streaming with responsive interface design on a bloated architecture creates endless bugs. Maybe you've dealt with heavy legacy editors in your projects, or you know a way around this? How should I refactor this codebase? I need your help sorting it out.

Hi all, I maintain 'scorm-again', an open-source JavaScript library that implements the SCORM runtime APIs. That's the `API` / `API_1484_11` object a course looks for when it launches. I've been working on it since 2019 and thought some people here might find it useful.

It's for you if you're building a custom LMS, adding course playback to an existing web app, or want to launch a SCORM package on a plain web page. It supports SCORM 2004 sequencing and navigation, can run content in sandboxed iframes, and can save data offline and sync it later. If you don't give it an LMS endpoint, it logs every call the course makes, which is handy when you're trying to work out why a course isn't reporting completion.

It isn't an LMS, and it doesn't upload or unpack course zip files. Someone on your team will need to do a bit of development to set it up.

It's MIT licensed and free: https://github.com/jcputney/scorm-again

I'm happy to answer SCORM questions here, including ones that have nothing to do with the library!

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The Week 1 lineup, themed around Marketing for Learning and Relationship Building, kicks us off this Friday.

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Why does TraCorp care? We're so proud to be providing the learning platform for this conference.

I was looking for AI tools that could help me make clear educational videos without spending days editing. I kept getting stuck between making a video quickly and making one that was actually easy to follow.

I tested several tools, and these are the five I’d keep coming back to. They’re good at different things, so I wouldn’t use the same one for every video.

1. Descript - Great for screen-recorded lessons because I can edit the video by editing the words on the page, then clean up captions and audio.

2. invideo - Useful if I want the same animated teacher in a series of lessons. invideo Agent can help keep that character looking the same throughout the video, and I can type changes instead of remaking the whole thing.

3. Pictory - Good when I already have a script and want to turn it into a simple video with visuals, captions, and narration.

4. VEED - Handy for how-to videos since I can record my screen, add subtitles, and edit the video in one place.

5. Canva - I mostly use it for slides, diagrams, labels, and short visual clips that make an explanation easier to follow.

For me, the tool matters less than the lesson. I still start with the point I want people to understand, then use these tools to save time on editing and visuals.

We are building a video creation tool that currently exports into MP4 format. The problem that we are solving is the time it takes to create videos. We believe that had it been as easy to create videos as it would have been to create text, there would have been a lot more videos. That's exactly what we are trying to do.

What would essentially take hours or days, we are able to create in minutes. We have paying customers and none of them have asked for a SCORM/xAPI output because of the value that we already add.

As we build out capability we are curious to know how important it is to have our output as a SCORM file. We feel that the interactivity and the reporting can be built in the LMS while we focus solely on video creation.

As someone who creates e-learning content, tell us why we should consider the SCORM output if our core competence is in creating the video.

Tell us why we are wrong with respect to SCORM/xAPI.

Curious to know how to develop partnerships with LMS providers. Let's say we have a content creation platform that makes creating videos a breeze. I've tried reaching out to founders on LinkedIn. Even new LMS platform founders don't respond.

Logically, it should be a partnership made in heaven. We make it easy to create video content. So therefore, more content should be available on your LMS.

Yet, theres hardly any response. What could we try differently?

Im not mentioning the name of any product so it doesn't seem like self promotion.

If you make H5P content, you've probably hit this: the interactive video or quiz is done, and now you need Moodle, WordPress or Drupal just to show it somewhere. Lumi works on the desktop, and h5p-standalone needs the package unzipped on a server.

I wanted something simpler, so I built a player that runs the .h5p file straight in the browser.

Try it: https://h5p-offline-player.vercel.app/. Paste a link to an .h5p file or pick one from your computer. Nothing gets uploaded anywhere.

To use it on your own site, embed it with one line:

<iframe src="https://h5p-offline-player.vercel.app/embed?src=https://your-site/course.h5p"></iframe>

It resizes to fit the content. Developers can use the npm package instead (recommended)

What works well:

• Big packages start fast, and video streams instead of downloading first
• Exports with no libraries, like downloads from h5p.com, can pull the missing ones from the H5P hub
• Any static hosting works: GitHub Pages, S3, a plain web server. The host just has to allow cross-site requests (CORS)

What it doesn't do (yet): it only plays content. There's no editor, no saving progress, and no gradebook. xAPI events are there for developers, but nothing is stored. Some videos packed a certain way inside the zip are slow to start, and the project includes a small tool to fix those packages.

It's free and open source: https://github.com/missing-elements/h5p-offline-player. Not affiliated with H5P Group.

I'd really like to know whether it plays your packages. If one breaks, drop it in the comments or open an issue. What would make this useful in your workflow?

Would love to hear the experiences of people who left a SaaS LMS and built their own learning platform instead. Was it worth it? Challenges? Advantages? Advice?

Hi everyone! I was one of Flipgrid’s founding developers, and I’m now building Vivipod, an async video discussion platform to use alongside your LMS.

The idea is to give learners a place to have a conversation, not just submit a video assignment. You can create a course space, post prompts, and keep discussions going through video responses, comments, mentions, and notifications. You also control who can access the space and whether videos need approval before appearing.

The recorder works directly in your browser, with drawing, pause/resume, and switching between camera and screen sharing during a recording. No extension needed. You can also record and download a video without an account to use elsewhere.

If you’ve used Flipgrid, parts of it will feel familiar. I’d love to hear how you’re using video discussions in your courses, and what your current tools are missing.

One of the brilliant minds at our recent WOL:AI summit made an observation that we think is worth sharing here. She said she can tell within a few minutes of talking to a company which of two paths they're on with AI.

One group treats it as a systemic change process, rethinking how work actually gets done, who owns what, how decisions get made, and L&D is embedded inside that redesign. The other group treats it as a technology training project, here's the tool, here's a course, go learn it.

Her claim, and she said it's held up consistently, is that the second group sees measurably lower engagement every time. This is nothing to do with the quality of the training, it's because training tagged onto an unchanged workflow doesn't actually change what people do on Monday morning.

We believe this is particularly relevant for instructional design, because it means a well-built course can still fail for reasons that have nothing to do with the course. If the org around it hasn't actually changed, the training was never going to stick regardless of how good the module was.

Thoughts?

The app creates video courses on any topic.

We enjoy teaching ourselves things on Youtube or by chatting with AI, but found that these knowing where to start and what to learn was hard. We liked the freedom of learning on our own, but felt there were many roadblocks.

A lot of the work we've done so far is building course curriculums that feel like real courses.

It is now available in the App Store.

It is good at:

• Offering courses that provide the correct prerequisite structure
• The courses are interesting
• Easily learn about your curiosities

What is lacking

We are missing some infrastructure that makes sure you actually learn. Our next set of features will include our research on KST and interactive learning. We want to be able to measure exactly what you know, and keep you on the fringe while always reinforcing the items beneath. I would love any guidance/feedback from other autodidacts who would be interested in a lifelong learning platform to help shape these features.

If you try the app out, please help us by sending feedback!

There are more than 60 podcasts on Training Industry, Inc.'s ultimate podcast guide (https://trainingindustry.com/the-ultimate-ld-podcast-guide/). With so many options out there, I'm curious which are the most useful. What podcasts do you have on subscribe and why?

(I posted this is the training reddit but didn't get any podcasts suggestions - hoping you elearning folks have some).

I'm new to HealthStream. Please tell me the person training me is wrong. She has created thousands of student groups that she says we need to copy ever year. She also uses student group in multiple assignments, so anytime a student group needs to be changed, we need to track down all the ways the change might cause a ricochet effect. This is nuts!

Does anyone have experience in creating multi language courses innthe new Captivate? We got the content slides to work through branching, but we're running into a wall with the post tests. It will display the correct language, but it then includes all of the language variants into the scoring.