I used to be in the same spot. So I stripped it all down to raw API calls.
There's barely anything there.
Memory? A list you resend every time. Tool calling? The model returns JSON saying "call this function." You call it. That's "AI agents." RAG? Search docs, paste into prompt, ask.
Oversimplification? Maybe. But the fundamentals never stop being useful, no matter whatever advanced tool it's used.
10 progressive modules. OpenAI and Anthropic examples. Current SDKs. Only prerequisite is Python. Free and open-source (MIT).
In January, a Chinese app called Sile Me ("Are You Dead?") went to #1 paid app on China's Apple App Store. One button. Tap it daily to say you're alive. Miss two days — your emergency contact gets an email. It went viral because 200M Chinese people live alone and finally had a tool that acknowledged the obvious risk.The US has 40 million solo households — 29% of all households, an all-time...
This breaks down five perspectives (practitioners, displaced workers, engineers, educators, skeptics) and what each reveals that we're not discussing:
- The verification paradox (if you can verify it, you could probably do it yourself)
- Three zones of AI appropriateness (Green/Yellow/Red)
- Why AI hallucinations are structurally different from human errors
- The human capital problem (if AI does junior work, where do seniors come from?)https://github.com/jmedia65/learn-ai-right
I was using LLM frameworks everywhere but had no idea what was happening inside them. One day I needed to optimize something and realized I couldn't. Hard truth: I didn't understand the fundamentals, just which framework function to call.So I stripped everything away. No abstractions. Just Python, HTTP requests, and the OpenAI/Anthropic APIs.What I found was anticlimactic in the best way:...
Earlier this month I was playing with one of Claude's "inspiration" Artifacts, a bedtime story generator (a React component that runs in the browser). I showed it to a mom I know. She said "This is nice, but it would be great if it could make my child the hero of the story and narrate it so we can listen together."That offhand comment launched a 2-weeks learning journey from a simple React...
The way agent construction is laid out (with a clear path for progressively adding tools, memory, knowledge, storage, etc.) feels very logical.
Definitely lowered the time it takes to get something working.
This example might be close to what you're describing: https://github.com/agno-agi/agno/blob/main/cookbook/workflow...
It chains agents for web research, content extraction, and writing with citations.
I used it as a starting point for a couple projects that are now in production. It helped clarify how to structure workflows.
https://englishpractice.io/translate-now
As an immigrant who learned English as an adult, I built this tool to solve a specific problem: "How do I say this phrase in English?" It's not a course - it's a simple utility that lets you:1. Input text in 15+ languages or English (converts everything to English) 2. Hear pronunciation 3. Practice speaking it 4. Get instant AI feedback on accuracyTech stack: - Flask + Bootstrap UI - Google...