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Aiaiai.guide: Plain-English mental model for LLM apps, tools and agents

Aiaiai.guide: Plain-English mental model for LLM apps, tools and agents

by myyke·Apr 6, 2026·7 points·0 comments

AI Analysis

MidCozySolve My Problem

Nine-chapter narrative arc beats fragmented blogs, openly licensed on GitHub.

Strengths
  • Narrative arc builds from stateless prediction to autonomous agents logically.
  • CC BY-SA license and GitHub repo invite community corrections and updates.
  • Focuses on mechanical reality of context windows and tool use.
Weaknesses
  • Static content faces stiff competition from established AI courses and documentation.
  • No interactive examples or sandboxes to demonstrate the concepts practically.
Category
Target Audience

Product managers, founders, and non-technical stakeholders working with AI

Similar To

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Post Description

I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it.

I never found a guide that covered that full chain at the level I wanted, so I wrote one.

It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook.

Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai

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