Interactive tools, plain-English guides, and step-by-step paths that help you build AI apps, agents, and automations right in your browser.
Pick a starting point. Each one is a hands-on path, not a reading list.
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.
When Claude has an outage, dozens of AI tools degrade at once while their own status pages stay green. What an upstream provider outage looks like, why it's so confusing to debug, and how to tell in seconds whether it's you, your tool, or the model underneath.
Why an agent cannot tell your instructions from text it just read, and how to contain it.
Measure whether AI output is actually good. The verify gate, applied at scale.
A local-first command center for a coding agent: the real primitives, no hype.
Let AI plan, do, and check its own work, with a build-your-own-loop tool.
Three new ways to make AI knowledge stick: spaced-repetition flashcards built from the dictionary, a Today I Learned stream of bite-size snippets, and free downloadable templates with no email wall. All client-side, no account.
The Plain-English Tech Dictionary: 83 AI, coding, and vibe-coding terms explained in one sentence, with an example and a next step.
Browse all 83 termsThree tools to try in your browser, no signup.
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Try itPaste any prompt for a health score, the missing pieces, and a stronger version.
Try itPrice, users, and usage in. Monthly margin and your break-even point out.
Try it28 tools, grouped by what you need, the same way as on the tools page.
The infrastructure of modern AI, from context windows to agents.
Only the best tools, tips, and real life examples for building with AI.
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