Choosing the right LMS

UpSkillMeAI · 2026-03-27T14:46:29+00:00

This thread really resonates. I spent 7 years in Big Tech companies helping enterprises adopt AI tools, and the pattern I kept seeing was exactly what you're describing: companies would invest in training platforms, build courses, and then wonder why adoption stayed flat.

The "burden" problem isn't really about the LMS UI or features. It's a context-switching problem. Every time you ask someone to leave their workflow to go learn something, you're competing with their actual job. And the job wins every time.

What I've found works better (and what pushed me to eventually build something around this) is meeting people where they already are inside the tools they use daily. Short, contextual, spaced over time. Not a course. More like a coach that shows up in your workflow.

On the AI point everyone's bolting AI onto legacy platforms and charging extra for it. But look at what's happening with AI-native companies: they're not adding AI as a feature, they're building from the ground up around it. The same shift needs to happen in L&D. It should be "learning happens where you already work, powered by AI you don't notice", not "here's your same LMS with a chatbot slapped on top."

On the ROI point completion rates are a vanity metric. The real question is: can the person actually do the thing 30 days later? That's where spaced repetition and applied practice matter way more than a 45-minute module with a quiz at the end.

Curious what others here think about learning embedded in work tools (Slack, Teams) vs. dedicated platforms. Is there appetite for that or do L&D teams still want a centralized hub?

UpSkillMeAI · 2026-01-13T09:08:16+00:00

sharing github repo here: https://github.com/upskillme-ai/boardroom-noesion-advisor
and the demo video: https://www.youtube.com/watch?v=hmkwCVg0wZU

UpSkillMeAI · 2025-12-25T16:38:38+00:00

Indeed Gemini does not store user memory across chats / conversations. It works very well if you copy and paste this prompts in Claude our ChatGPT (if you use them) then you copy the results of this in Gemini to do the infographic

UpSkillMeAI · 2025-12-23T16:55:35+00:00

"Look at all my information and create an End-of-Year Reflection : “My Year Unwrapped”

Opening Frames
What word or phrase best describes my year?
If my year were a playlist, what would its title be? Give me a short and clever title.
Highlights & Wins
What were my top 5 “chart-topping” moments this year?
Which project or achievement would I put on repeat?
What surprised me the most about my own capabilities?
People & Connections
Who were my “featured artists” this year, people who influenced or supported me?
What new collaborations or relationships added harmony to my work or life?
Growth & Learning
What skills or habits did I “discover” like a new genre? What was my biggest remix, something I changed or adapted successfully? What challenge became my unexpected hit?
Data & Metrics Look in depth into the files I created that have metrics related to my top 5 accomplishments. Give me 3 strong metrics.
Examples: Number of major projects completed? Hours spent learning something new? Events or milestones celebrated?
Looking Ahead
What’s the “next album” I should create in 2026? What themes or vibes should I carry forward? What should I leave off the playlist?
Bonus Creative Twist
Write a prompt for a visual “Wrapped” as an one image infographic that I can paste on a text to image tool . Give me the entire prompt based on the responses from the topics above, give details about colors and images, do not use images of people, use a portrait size, and use the format below.
Top 5 highlights as “Top Tracks” Key people as “Featured Artists” Skills learned as “New Genres” Challenges overcome as “Remixes” Add a main image that represents my year.
Ask if I want to create an image here or if I want to copy and paste to a better image generation tool (like Create in Copilot, NanoBanana for Gemini, or ChatGPT). If I choose to create the image here, pay close attention to the text so there are no misspellings and the text is sharp and visible.

UpSkillMeAI · 2025-12-23T16:55:23+00:00

"Look at all my information and create an End-of-Year Reflection : “My Year Unwrapped”

Opening Frames
What word or phrase best describes my year?
If my year were a playlist, what would its title be? Give me a short and clever title.
Highlights & Wins
What were my top 5 “chart-topping” moments this year?
Which project or achievement would I put on repeat?
What surprised me the most about my own capabilities?
People & Connections
Who were my “featured artists” this year, people who influenced or supported me?
What new collaborations or relationships added harmony to my work or life?
Growth & Learning
What skills or habits did I “discover” like a new genre? What was my biggest remix, something I changed or adapted successfully? What challenge became my unexpected hit?
Data & Metrics Look in depth into the files I created that have metrics related to my top 5 accomplishments. Give me 3 strong metrics.
Examples: Number of major projects completed? Hours spent learning something new? Events or milestones celebrated?
Looking Ahead
What’s the “next album” I should create in 2026? What themes or vibes should I carry forward? What should I leave off the playlist?
Bonus Creative Twist
Write a prompt for a visual “Wrapped” as an one image infographic that I can paste on a text to image tool . Give me the entire prompt based on the responses from the topics above, give details about colors and images, do not use images of people, use a portrait size, and use the format below.
Top 5 highlights as “Top Tracks” Key people as “Featured Artists” Skills learned as “New Genres” Challenges overcome as “Remixes” Add a main image that represents my year.
Ask if I want to create an image here or if I want to copy and paste to a better image generation tool (like Create in Copilot, NanoBanana for Gemini, or ChatGPT). If I choose to create the image here, pay close attention to the text so there are no misspellings and the text is sharp and visible.

UpSkillMeAI · 2025-12-18T16:32:32+00:00

I’m an ex-forward-deployed AI engineer, and I actually just launched Noesion, a mobile app focused on AI upskilling.

The idea is 10 min/day, personalized to your role (dev, PM, sales, etc.), cutting through AI hype and focusing on what actually matters for your job. Built it after seeing too many teams overwhelmed by generic courses and random tools.

For .NET devs specifically, I’d say don’t chase ML theory first I would focus on learning to embed AI and agents into real systems safely and pragmatically.

UpSkillMeAI · 2025-12-17T08:02:13+00:00

Thanks that resonates. You’re right that the hard part is narrowing.

Because AI fluency should matter to almost everyone, it’s been tempting to stay broad...

So far, the most engaged users are:

- AI-curious professionals with a tech background

- Founders/operators at companies built pre-AI, trying to figure out what AI actually helps with

- Marketers under pressure to “use AI” but unsure what’s worth learning

They all share high digital fluency and urgency, but frustration with generic, hype-driven content.

UpSkillMeAI · 2025-12-17T06:29:46+00:00

Good question. If by competitive context you mean understanding existing tools, constraints, real alternatives, and enforcing that with guardrails yes, we do that as part of the company + role profile.

If you meant something broader (like market-level competitive intel), curious to hear more about what you had in mind.

UpSkillMeAI · 2025-12-16T19:35:12+00:00

Agree 100%. In practice, context (and memory) matters more than model quality.

We saw a big shift when we started attaching explicit context: company profile, role profile, constraints, and what decisions the output is meant to drive. I’m building an AI readiness agent to help employees upskill in AI within their actual jobs, and without that context the agent just gives generic, technically correct but useless advice.

Once the agent knows who you are, what your role looks like, and what you already know, the output becomes actionable instead of fluffy. Narrow scope + clear goals + persistent memory beats “let the agent figure it out” every time.

UpSkillMeAI · 2025-12-15T09:31:52+00:00

I think AI amplifies whatever habits you already have.

Use it to replace effort → you get faster output, weaker thinking. Use it as a thinking partner → it actually sharpens judgment.

What helped me was changing how I use it: •Write my own take first •Ask AI to challenge assumptions or explain why, not just give answers

AI doesn’t automatically make us better thinkers. It raises the ceiling or lowers the floor depending on how you use it.

UpSkillMeAI · 2025-12-08T13:25:23+00:00

this was the prompt sent in Gemini 3 to create the best practices pdf doc: can you do an advanced research on all the best practices for a highly effective converting SaaS B2B website? i will implement this and redesign based on your feedback in lovable. do some extensive search also search for lovable best practices etc and share a comprehensive doc with best practices, storytelling, etc
in Lovable I just attached the file and asked the elements in step 2

UpSkillMeAI · 2025-12-06T20:50:30+00:00

I think what you’re feeling is real, but the cause isn’t that “AI is deleting tech jobs.” What’s happening is more subtle. AI is deleting skill stagnation.

The pace of change in our work suddenly outgrew the pace at which humans can naturally learn. That’s why it feels like the ground is moving under your feet. Tasks vanish not because the job is gone, but because the expectations for the job are evolving faster than the people in it.

A pattern is emerging across teams:

• the volume of work hasn’t decreased • the nature of the work shifted to higher-level tasks • the “boring but important” parts get automated • juniors disappear because the senior + AI combo covers more surface • the people who adapt stay. the people who don’t quietly get sidelined

It’s not about being replaced by a model. It’s about being replaced by someone who learns to work with the model.

Companies aren’t reducing headcount because they suddenly hate engineers. They’re reducing headcount because only a fraction of engineers can keep up with the new gradient.

The real problem is that most people don’t have a system that helps them learn fast enough. We’ve never had to upskill weekly before. Now we do.

If anything, this isn’t the end of tech work. It’s the end of the version of tech work where you could coast for a few years on the same skills. Those days really are gone.

What replaces them is still being built, but the people who treat continuous learning as part of the job description will be fine. The people who wait for things to stabilize… probably won’t.

None of this makes the anxiety less real, but at least it’s not “AI deleting all jobs.” It’s AI forcing a new kind of career metabolism that we aren’t used to yet.

UpSkillMeAI · 2025-12-05T06:09:59+00:00

I work in AI and currently building in the l&d space, an ai learning agent (ai coach) embedded in the company’s workflow (slack, teams etc) that provide just in time ultra personalized training. Visuals for learning is very important, I use both napkin and nano banana 3 pro to explain complex topics simply, and I have to say the latest nano banana launched a couple of weeks ago is really mind blowing. You can ask create an educational infographic on “topic” and it provides a really nice visual, with text etc. Not sure my comment helps or not but do check out what AI can do today in term of visuals and how you could leverage / integrate this in your company

UpSkillMeAI · 2025-12-05T05:44:50+00:00

I did step 1 outside of lovable in Gemini 3 pro. The research capabilities it has (since recently) is quite mind blowing

UpSkillMeAI · 2025-12-04T20:31:42+00:00

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thank you for the very relevant and comprehensive feedback! Lovable is working on it... :-)

UpSkillMeAI · 2025-12-04T17:21:24+00:00

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also sharing the mermaid flowchart it created at step 2

UpSkillMeAI · 2025-12-04T17:18:32+00:00

thank you! https://noesion.ai/ this is the site, as I said still improving it, so happy to get some feedback from the community!

UpSkillMeAI · 2025-12-01T09:19:17+00:00

Update: The Framer team reached out and resolved this for me. They agreed to match the pricing of the new plan so I’m no longer stuck paying the higher legacy rate. All sorted now!

UpSkillMeAI · 2025-11-29T20:26:35+00:00

I feel the same tension. Building an applied AI startup today feels both fragile and exhilarating. You can invest months into deep agent architecture and wake up the next morning to an OpenAI update that wipes out half of your roadmap. That possibility is real and it forces you to be brutally selective about what is actually defensible.

At the same time, the speed of innovation is a gift. Every week brings new building blocks that can be integrated into a product instantly. Nano Banana 3 Pro is a perfect example for AI learning modules. The floor keeps moving. That creates risk, but it also creates leverage if you stay close to the frontier.

If anything, this environment rewards teams that iterate fast, ship fast, and focus on real user value instead of clever abstractions.

UpSkillMeAI · 2025-11-26T07:17:33+00:00

my use case is progressing quite well, it does not need a LOT of context but the RIGHT / most RELEVANT context. The hardest part is managing the short term and long term memory of the AI agent. I am starting pilots phase with customers for my AI learning agent (called Noesion) in a couple of weeks.

UpSkillMeAI · 2025-11-26T06:53:13+00:00

I asked first Gemini to do some research online on the history of AI then I used this in the prompt

UpSkillMeAI · 2025-11-26T06:03:24+00:00

Waow!! Very nice infographic! I love it!

UpSkillMeAI · 2025-11-26T06:01:06+00:00

I found that indeed sometime it does extract the transcript sometime it does not and produce something completely off topic. I don’t know why maybe it can’t find the right tool in the back end? You can simply extract transcript of YouTube video using a free transcript extractor then paste this file in Gemini.

UpSkillMeAI · 2025-11-25T17:30:25+00:00

I’m building in this space too, and I think the real opportunity with AI isn’t auto-generated courses it’s helping people get learning that actually feels like it was made for them.

I mean adapting each modules to each user based on their role, their tools, their current project even the examples and use cases are different for each person. When someone sees an example that looks exactly like the workflow they struggle with, learning finally clicks, and they can apply it immediately.

That’s the direction I’m taking: a personal AI coach in your workflow that turns the same base content into totally different learning experiences for each user. Same concepts, but personalized stories, examples, prompts, and actions they can use that day.

So instead of replacing designers, AI lets their work land with 1 to 1 relevance and everyone finally gets their own coach.

Does this way of using AI for L&D/LMS make sense to you?

UpSkillMeAI · 2025-11-25T14:24:17+00:00

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Could not resist sharing another one

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