Plain-language rewrite of the three AIBook.fun planning docs, with a product
review folded in:
Name one core loop (read -> run -> share) and a single North-Star metric
(activation), reported ahead of the fundraising numbers.
Layer the product: v1 = the core loop; contributor economy, cohorts,
agent-onboarding, and the ecosystem funnel become explicit later layers
instead of co-equal launch goals.
Add the "Minimum Lovable Library" launch gate: seed 15-20 tested workflows
ourselves before asking anyone to pay, rather than betting the launch on the
crowd filling an empty shelf.
Reframe the contributor incentive honestly: today's mechanic is affiliate
referral, not payment for writing workflows; make paid contribution a
launch-blocking decision.
Force the subscription-vs-lifetime pricing tension into a reasoned decision.
Split the product-validation bar from the funding floor ("funded" != validated).
Lead the pitch with utility; make ownership the retention layer.
Trim governance to the two gates that matter (no-crypto scrub, truth in claims).
Turn the domain "decision" into a same-day chore.
Translate internal jargon, handles, and merge-history out of the doc bodies.
Old versions preserved in git history; a field-by-field ID mapping can be
produced on request.
Plain-language rewrite of the three AIBook.fun planning docs, with a product
review folded in:
- Name one core loop (read -> run -> share) and a single North-Star metric
(activation), reported ahead of the fundraising numbers.
- Layer the product: v1 = the core loop; contributor economy, cohorts,
agent-onboarding, and the ecosystem funnel become explicit later layers
instead of co-equal launch goals.
- Add the "Minimum Lovable Library" launch gate: seed 15-20 tested workflows
ourselves before asking anyone to pay, rather than betting the launch on the
crowd filling an empty shelf.
- Reframe the contributor incentive honestly: today's mechanic is affiliate
referral, not payment for writing workflows; make paid contribution a
launch-blocking decision.
- Force the subscription-vs-lifetime pricing tension into a reasoned decision.
- Split the product-validation bar from the funding floor ("funded" != validated).
- Lead the pitch with utility; make ownership the retention layer.
- Trim governance to the two gates that matter (no-crypto scrub, truth in claims).
- Turn the domain "decision" into a same-day chore.
- Translate internal jargon, handles, and merge-history out of the doc bodies.
Old versions preserved in git history; a field-by-field ID mapping can be
produced on request.
Plain-language rewrite of the three AIBook.fun planning docs, with a product
review folded in:
- Name one core loop (read -> run -> share) and a single North-Star metric
(activation), reported ahead of the fundraising numbers.
- Layer the product: v1 = the core loop; contributor economy, cohorts,
agent-onboarding, and the ecosystem funnel become explicit later layers
instead of co-equal launch goals.
- Add the "Minimum Lovable Library" launch gate: seed 15-20 tested workflows
ourselves before asking anyone to pay, rather than betting the launch on the
crowd filling an empty shelf.
- Reframe the contributor incentive honestly: today's mechanic is affiliate
referral, not payment for writing workflows; make paid contribution a
launch-blocking decision.
- Force the subscription-vs-lifetime pricing tension into a reasoned decision.
- Split the product-validation bar from the funding floor ("funded" != validated).
- Lead the pitch with utility; make ownership the retention layer.
- Trim governance to the two gates that matter (no-crypto scrub, truth in claims).
- Turn the domain "decision" into a same-day chore.
- Translate internal jargon, handles, and merge-history out of the doc bodies.
Old versions preserved in git history; a field-by-field ID mapping can be
produced on request.
pat
merged commit 99ca572ab4 into main2026-08-26 13:56:33 +00:00
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Plain-language rewrite of the three AIBook.fun planning docs, with a product
review folded in:
(activation), reported ahead of the fundraising numbers.
agent-onboarding, and the ecosystem funnel become explicit later layers
instead of co-equal launch goals.
ourselves before asking anyone to pay, rather than betting the launch on the
crowd filling an empty shelf.
referral, not payment for writing workflows; make paid contribution a
launch-blocking decision.
Old versions preserved in git history; a field-by-field ID mapping can be
produced on request.
Plain-language rewrite of the three AIBook.fun planning docs, with a product review folded in: - Name one core loop (read -> run -> share) and a single North-Star metric (activation), reported ahead of the fundraising numbers. - Layer the product: v1 = the core loop; contributor economy, cohorts, agent-onboarding, and the ecosystem funnel become explicit later layers instead of co-equal launch goals. - Add the "Minimum Lovable Library" launch gate: seed 15-20 tested workflows ourselves before asking anyone to pay, rather than betting the launch on the crowd filling an empty shelf. - Reframe the contributor incentive honestly: today's mechanic is affiliate referral, not payment for writing workflows; make paid contribution a launch-blocking decision. - Force the subscription-vs-lifetime pricing tension into a reasoned decision. - Split the product-validation bar from the funding floor ("funded" != validated). - Lead the pitch with utility; make ownership the retention layer. - Trim governance to the two gates that matter (no-crypto scrub, truth in claims). - Turn the domain "decision" into a same-day chore. - Translate internal jargon, handles, and merge-history out of the doc bodies. Old versions preserved in git history; a field-by-field ID mapping can be produced on request.