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AiBook.fun — Product Specification spec draft Patrick (Product) 2026-09-26 2026-08-31
AiBook_PRD.md
AiBook_Implementation_Plan.md

📚 AiBook.fun — Product Specification

Status: DRAFT. This spec is the thinking behind the product — the vision, the principles, the model. The PRD turns it into requirements; the Implementation Plan turns it into a schedule. Commercial figures and unconfirmed terms here are planning assumptions, not commitments, and must not be quoted externally until signed off (§8). See Appendix — What changed for how this revision differs from the prior draft.


TL;DR

AiBook.fun is a living, crowd-written field guide to using AI agents responsibly at work. Its unit of value is a workflow you can run — a documented, tested recipe for doing a real job with AI, including the guardrails. It launches as an annual subscription via Kickstarter on September 26, 2026.

The product does four jobs, in priority order:

  1. Teach practitioners how to actually use AI — from tested workflows, not hype. (This is v1.)
  2. Fund & assemble a founding community through the Kickstarter. (This is v1.)
  3. Reward contribution so the book stays current — the "living" part. (Design it now, prove it just after launch.)
  4. Connect readers into the wider WeOwnNet ecosystem. (Ongoing, low-effort.)

The hard truth this spec insists on: jobs 1–2 are the launch; jobs 3–4 are layers we build on top of a proven core. Trying to ship all four at once is how a small team ships none well.

One-sentence pitch (utility-first): "Steal 20 tested AI workflows you can run this week — from a living guide that practitioners keep current, and that you can help write."


1. Vision & the core loop

The prior draft's slogan was "turn the Book from an artifact into an engine." That's the right ambition — but an engine needs one cylinder firing before you add the rest. Here is the cylinder:

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

Everything else the product wants to be — a contributor economy, a cohort program, an onboarding corpus for AI agents — is a layer built on top of this loop, and only worth building once the loop demonstrably works. We measure that with one number, Activation: did a reader run at least one workflow and finish one Try-it within 14 days of getting access (access key, not pledge)? Floors/targets ratified 2026-08-29 — full set in PRD §8.

The product in layers

Layer What When
Core (v1) Subscription book of tested workflows + read→run→share loop Launch
Contribution Readers submit their own workflows (needs a real incentive — see §3) Just after launch
Cohorts "Book Circles," Workflow-of-the-Week showcase After content proves demand
Agent-native Same content, read by AI agents to onboard Deliberate future use of the format
Ecosystem funnel Backers flow into wider WeOwnNet programs Ongoing

2. Principles (the hard boundaries)

These are gates, not preferences — a workflow or a claim either clears them or it doesn't ship.

  1. Grounded in practice. Every workflow documents a real method: problem → constraints → steps → safeguards → evidence. No theory without a runnable shape. The steps show the actual tool output, because "it works" is something the reader verifies, not something we assert.
  2. Responsible by design. The responsible-AI guardrails (data handling, human oversight, failure modes) are part of every workflow template — not an appendix, not an afterthought.
  3. Open contribution, curated quality. Anyone can propose a workflow; curators and co-authors review before it's published. (The incentive that makes people actually contribute is still an open decision — see §3 and D-2.)
  4. Ownership as a reason to stay, not the reason to buy. The buyer's job is utility ("help me do a thing this week"). Community and ownership are what turn a reader into a member — they're the retention layer, not the opening pitch.
  5. The boundary is the product. No general-purpose-chatbot claims, no regulated advice on the book's own authority, and one honest set of claims (nothing draft presented as final).

3. Actors & the contributor question

Actor Who Their job The boundary
Reader / subscriber Practitioners (real estate, financial advisors, fractional execs, higher ed, communities, tech) Get current, trustworthy AI workflows to apply this week Pays for access ($47/yr — signed)
Co-author Confirmed: three founders across RE/FA, C-suite, and tech. Potential: two more for Higher Ed & Communities Own a vertical; write and curate its workflows Content follows the template; curated
Curator / editor Co-authors + community editors Keep the quality bar; run the editorial pipeline Curating ≠ owning the platform
Affiliate Community, podcast, press Refer backers; earn commission Commission rates below
Ecosystem prospect Anyone not yet in WeOwnNet Learn responsible AI; maybe get involved Becomes a funnel lead
AI agent Ecosystem agents (future layer) Read the book as an onboarding corpus Optimized-for-later, not a launch requirement

Who it's not for: people wanting AI theory with no practice behind it; anyone seeking regulated professional advice from the book itself; teams wanting private hosted infrastructure (out of scope).

The contributor economy — say what it actually is

This is the most important honesty correction in the spec. The prior draft presented a "Reader → Owner → Contributor → Governance" ownership ladder and a table of contributor income. Read the mechanics closely and the income is affiliate commission for referring backers — not payment for writing workflows.

Role What they actually earn today
Reader / backer Access
Community affiliate 10% commission — for referring backers
Co-author 15% commission — for referring backers (plus a byline for writing)
Podcast / press 10% / 5% commission — for referring backers
Curator / editor Nothing documented — royalty mechanic is unresolved

So today, writing a workflow earns a byline; referring a backer earns money. That's a referral program, not a contributor economy. For the "living book" thesis to be real, writing good content has to pay — and how it pays is decision D-2, which this spec argues is launch-blocking, not a later nicety. Until it's resolved, v1 is honestly an authored book (a founding set of co-authors), with open paid contribution as the very next thing built.


4. The product: a book built from workflows

4.1 The unit of content — a Workflow Recipe

One template, used for every entry. The template is the quality guarantee — the structural answer to "how do I know this isn't hallucinated AI advice?"

Field What it captures
Problem (the job) The real task the workflow solves
Actors Who runs it — person, role, or AI agent
Method Ordered, reproducible steps — showing real tool output, not describing it
Safeguards Data handling, human oversight, failure modes, escalation
Evidence The documented result — artifacts or metrics
Try-it A ~15-minute do-it-yourself exercise
Costs Model/tool costs where known — honesty about economics
Author & sources Who, when, which vertical, with citations

Chapters are the reading unit: a substantial essay per vertical, with full workflows nested in the argument (not a table of contents of cards). Editions refresh annually — which is the honest justification for a subscription: AI moves fast enough that a static book goes stale, so the value is in staying current. Reading IA locked 2026-08-31; see PRD §5.4.

4.2 Seed the shelf before you sell tickets (the cold-start rule)

The value proposition is a rich library. The failure mode is a near-empty one. Crowd-sourced libraries reliably die at cold-start: nobody contributes to an empty library (no readers yet), and nobody pays for an empty one (no value yet), so both sides wait forever.

The rule: before we ask anyone to pay, the team and co-authors seed a Minimum Lovable Library — a floor of tested workflows (recommended 15–20 across ≥3 verticals, team to ratify) — themselves. This is a launch gate. Community contribution is what happens after the shelf is worth browsing. (This is the single biggest risk in the whole plan; see PRD §5.2.)

4.3 How people actually learn (the social layer — mostly post-launch)

These methods are what make the book feel alive. They are Layer 3 — designed now, switched on around and after launch, not gating it:

  1. Read → Do → Share. Every workflow ends in a Try-it; readers post results back. Learning becomes applied, visible, and contagious.
  2. Book Circles. Small cohorts read one workflow a week and review each other's Try-its — the online echo of the in-person retreats.
  3. Practice-to-publish. A reader's Try-it result, once curated, can become a micro-contribution — the on-ramp from reader to contributor.
  4. Workflow of the Week. A public showcase (site + community + email) — the "open classroom" that makes the book visible to non-subscribers.
  5. The Kickstarter as lesson one. Every campaign update ships a mini-lesson — "funded isn't the finish line; here's Chapter 1" — so the campaign itself teaches.

4.4 Digital surface (current state)

Surface What it is Status
aibook.fun domain Public home: pitch, sample workflows, affiliate signup, campaign link Renewed 2026-08-31
Landing page (built) A staged proof-of-concept, ready to review and push live Staged locally, not yet public
Subscription access Digital key → PDF + web reader + annual updates Not built yet (post-campaign)
Community Team channel live; cohort spaces not built Partial
Kickstarter page Hero video, tiers, stretch goals, FAQ, risks Not built — build in the weeks before launch

4.5 The Kickstarter package

  • Launches 9/26/2026. (The source plan's earlier spring dates are superseded.)
  • Goals: $5K min · $35K target · $54K stretch (≈706-backer projection).
  • Pledge tiers: ☕ $10 Supporter · 📚 $47 The Book · 🎯 $88 Advisor Bundle · 🏆 $248 VIP · 🤝 $488 Cooperative Patron · 🏛️ $4,888 Founding Sponsor.
  • Stretch goals: audiobook ($20K) · workbook ($30K) · video course ($40K) · community ($50K).
  • Affiliate (via Kickbooster): co-author 15% · community 10% · podcast 10% · press 5% · 30-day cookie · ~$0 to join · ~10% platform fee on referred pledges.
  • Hard constraint — no crypto/Web3/NFT language anywhere public. Kickstarter bans it; a single scrub gate reviews every asset before submission. (See PRD Appendix A.)

5. Where it fits in the ecosystem

Connected program The connection
AgencyPRO The book is the top of its funnel; sponsors get a bundle
BurnedOutAdvisor Primary sales/distribution; retreat + media synergy
Webinar program Backers → webinar → AgencyPRO follow-up
WeOwn.Events Showcase + retreats scheduling
Email infrastructure Pre-launch list + campaign sequences
WeOwn.FM The public "open classroom" broadcast

Keep these as low-effort connections in v1 — the funnel is real value but shouldn't pull focus from the core loop.


6. Commercial model (one honest table)

Item Value Status
Anchor subscription $47/yr digital + hardcopy at-cost upcharge Signed 2026-08-31
Lifetime access Not a v1 SKU Signed D-1: $47/yr only
Founding writers Paid on contract (v1 is authored). Affiliate still pays referrals, not writing. Signed D-2 2026-08-31. Royalties/bounties wait for Layer 2.
Projected revenue ~$53,600 at 706 backers Draft planning figure
Pre-revenue budget ~$6,000 (ads + KS fees + affiliate fee) Draft planning figure
"eBookNFT platform" A future idea; this book is the first product Not in scope

The rule: no row in this table may be quoted externally until it's signed. Never present a draft or open figure as final. (This is one of the two governance gates worth keeping — see §7.)

The subscription-vs-lifetime tension (worth reasoning through, not deferring)

A ~$97–147 lifetime tier breaks even against $47/yr in about 2–3 years. That directly undercuts the recurring-revenue thesis: either the content genuinely stays valuable (and you're actively selling a money-loser) or it doesn't (and the annual-renewal logic is false). Recommendation: keep $47/yr as the anchor; if you want a lifetime option, bound it as an early-bird instrument to capitalize the community fund (capped quantity), and say so plainly — don't ship recurring and lifetime as equals on vibes.


7. Trust & governance (kept proportionate)

The prior draft carried heavy governance machinery for a pre-revenue, unvalidated launch. Two gates prevent real harm and stay sharp; the rest scales up later, with the product.

Keep sharp (active gates):

  • No-crypto scrub. Kickstarter will reject crypto/Web3/NFT language. Every public asset is scrubbed against a translation table before submission. This is existential.
  • Truth in claims. No draft/unconfirmed figure appears on any external surface. A short claims register tracks each commercial claim and whether it's signed.

Proportionate (plain rules, not ceremony):

  • Confidential material never appears in public workflows; examples are non-confidential.
  • Instrument events, not content — record that a workflow was used/submitted, never the private content itself.
  • Describe data-handling honestly ("your documents stay on your instance") — never claim a security property we haven't verified is on.

One integrity question to resolve (D-6): if the "ownership" story was originally token/NFT mechanics, and all of that is stripped for Kickstarter, does "you own a stake" still describe something real — governance rights? revenue share? credited authorship? — or is it now marketing over an ordinary subscription? Define it concretely or drop the word.

Domain continuity: aibook.fun expires 09-05, three weeks before launch. This isn't a strategic decision — it's a chore. Renew it now. (See Implementation Plan, "Do this week.")


8. Open decisions

The genuinely-open strategic calls (the domain "decision" is gone — it's a same-day chore). Each carries a recommendation as a starting point, not a settled answer.

# Decision Recommendation
D-1 Lifetime Signed 2026-08-31: $47/yr only. No lifetime SKU as an equal product. Locked.
D-2 Writer pay Signed 2026-08-31: founding writers on contract. v1 authored. Layer 2 royalties later. Locked for v1.
D-3 Confirm the two unconfirmed co-authors (Higher Ed, Communities) Confirm this week, or cut those verticals from v1 and add post-launch.
D-4 Refresh the source-of-truth plan to the 9/26 dates & re-signed terms Do after D-1/D-2 land.
D-5 Human-first or agent-first for v1? Human-first. Build the format so agents can read it later; optimize v1 for human learners.
D-6 Does "you own a stake" survive as a true claim without token mechanics? Define ownership concretely, or stop saying it publicly. Add to the claims register.

Appendix — What changed in this revision

A plain-language rewrite with a product review folded in. The substance that moved:

  1. Core loop + layered model (§1) — v1 is the read→run→share loop; the contributor economy, cohorts, agent-onboarding, and funnel are explicit later layers, not co-equal launch goals.
  2. Told the truth about the contributor economy (§3) — it's currently a referral scheme; writing workflows earns a byline, not money. Paid contribution (D-2) is now launch-blocking.
  3. Added the cold-start / Minimum Lovable Library rule (§4.2) as the #1 risk and a launch gate.
  4. Forced the subscription-vs-lifetime tension into a reasoned recommendation (§6, D-1).
  5. Reframed principle 4 — ownership is a reason to stay, not the opening pitch (utility sells; ownership retains).
  6. Cut governance to proportionate (§7) — kept the no-crypto scrub and truth-in-claims; dropped the ceremony. Added the "does ownership survive the scrub" integrity question (D-6).
  7. Domain demoted from a gated decision to a same-day chore.
  8. Translated the jargon out — internal codes, seat/role labels, and merge-history removed from the body. Old cross-references can be mapped back on request.