Learn prompting, agents, automation, MCP, RAG, and the systems powering modern AI, with clear explainers and hands-on tools that run entirely in your browser. Nothing uploaded, nothing tracked.
Go from idea to architecture: design the system, wire the tools, compose the agent.
Why AI gives bad answers, and how to fix it. Start here if your prompts disappoint.
Context windows, tokens, embeddings, RAG. The infrastructure behind every AI feature.
Connect triggers, schedules, tools, and AI into workflows that run themselves.
Everything runs in your browser. Nothing leaves your device.
No signups. No tracking. No data collection. Ever.
Instant results. Works offline. Always available.
Clean UI, keyboard-friendly, and zero fluff.
Not sure where to start? Search every tool, concept & lesson, take the skill tree, or browse all 39 tools.
The infrastructure of modern AI, from context windows to agents.
The model's working memory, tokens, what fills it, why it runs out, and how to manage it.
Read more →The open standard for connecting AI apps to tools and data, the 'USB-C for AI tools.'
Read more →Grounding a model in your own documents at query time, embeddings, retrieval, and why it beats fine-tuning for facts.
Read more →How content becomes a vector that captures meaning, the engine behind semantic search, RAG, and recommendations.
Read more →How a model decides to call a function, returns structured arguments, and your code runs it, the basis of agents.
Read more →Making a model return JSON that matches a schema every time, vs JSON mode, and why it powers extraction and tool calls.
Read more →Pull up a chair. One genuinely useful tool, reference, or idea, brewed fresh every Friday. No spam, just the good stuff.
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