📚 AIBook.fun

A living, crowd-written field guide to using AI agents responsibly at work.

AIBook.fun's unit of content isn't a chapter — it's a workflow you can actually run: a documented, tested recipe for getting a real job done with AI, guardrails included. It's written and kept current by the practitioners who use it, and it launches as an annual subscription, crowdfunded on Kickstarter.

Status: planning stage. This repository holds the product's planning documents. The product is not yet live, and everything here is a working draft — figures, dates, and commercial terms are planning assumptions, not commitments. Public launch is targeted for September 26, 2026.

The idea in one loop

The one thing the product must do well:

READ a workflow  →  RUN the Try-it (~15 min)  →  SHARE the result  →  (come back)

If readers run workflows and share results, the guide is alive. Everything else — community contribution, cohort learning, onboarding for AI agents — is a layer built on top of that loop.

Who it's for

Busy professionals — in real estate, financial advice, fractional executive roles, higher education, community leadership, and technology — who want to apply an AI workflow this week, not read AI theory.

What's in this repository

This is a documentation and planning repo. Three companion documents define the product:

Document	What it covers
Product Requirements (PRD)	What we're building and why — scope, requirements, success metrics, open decisions
Product Specification (Spec)	The thinking behind it — vision, principles, content model, business model
Implementation Plan	How and when — the path from now to launch and fulfillment

New here? Start with the Spec for the vision, then the PRD for the specifics.

How it works (the short version)

• Content: every entry follows one Workflow Recipe template — problem, method (showing the real tool output), safeguards, evidence, a ~15-minute Try-it, and costs. The template is the quality guarantee — the structural answer to "how do I know this AI advice isn't made up?"
• Editions: the guide refreshes annually — which is why it's a subscription. AI moves fast, and stale advice is worthless.
• Contribution: the first edition is written by a founding set of co-authors; open community contribution follows once the library is worth browsing.
• Responsible by design: the guardrails (data handling, human oversight, failure modes) are part of every workflow, not an appendix.

Project status & roadmap

Stage	Focus
Now → launch	Seed the founding library, build the campaign, crowdfund the first edition
Post-launch	Fulfill the first edition; open community contribution
Later	Cohort learning, annual editions, deeper ecosystem integration

AIBook.fun is part of the WeOwnNet ecosystem.

License

Released under the MIT License · © 2026 WeOwnAI.