📚 AIBook.fun
A living, crowd-written field guide to using AI agents responsibly at work.
People read chapters. Each chapter is a substantial essay for one vertical, with full workflows nested in the argument. The workflow is the unit of practice: a documented, tested recipe for a real job, guardrails included. The first edition is written on contract by founding authors. It launches as a $47/yr subscription, crowdfunded on Kickstarter.
Status: planning + writing. Planning docs and the chapter blank live here. The product is not yet live. $47/yr is signed. Domain
aibook.funis renewed. Other figures and unsigned terms are still planning assumptions, not for public quote. Launch target 26 Sep 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 writing repo.
| 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. Path from now to launch and fulfillment |
| Chapter structure | The blank chapter for review. Copy it into a vertical file when writing starts |
New here? Start with the Spec for the vision, then the PRD for the specifics. Writers start at chapter structure.
How it works (the short version)
- Content: readers get a chapter essay. Nested in it, every workflow follows one recipe: problem, actors, setup, safeguards, method (real tool output), evidence, a ~15-minute Try-it, share, costs, author. Safeguards sit before the steps. The template is the quality guarantee.
- 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.