Choose what to get done
Fundraising Objection Coverage Register
The founder walks into the meeting with a complete pre-pitch register: a written, evidenced rebuttal row for every required VC objection category, and, under the default setting, no row left as an open gap.
GenAI IP risk contract checklist validator
A JSON clause register covering all five canonical GenAI IP risk categories passes validation: every category is present exactly once, each has a clause excerpt of minimum length, a contract reference, and a status from the allowed enum; no category is misspelled or duplicated.
In-House Build-vs-Buy Tendency Scorer
A founder weighing whether to sell an AI capability as a service gets a 0-6 in-house-tendency score and a build/buy verdict per the book's exact criteria, flagging capabilities customers will just build themselves.
Influencer pay ceiling
A value-based pay ceiling per influencer (from order value, margin, and conversion rate), with a within-budget verdict.
Integration adoption rate with a build-next ranking
Per-integration adoption rate over the overlapping base it can actually serve, health-flagged, plus a build-next ranking by addressable market.
Interview panel coverage plan
A structured interview-loop plan mapping interviewers to competencies, sized per the research, with a dissenter assigned.
Investor due-diligence answer register
A category-balanced register of answers to standard investor due-diligence questions, structured as data-room-ready JSON, with category coverage, answered-count consistency, and per-answer length floors machine-checked.
Job requisition spec
A complete requisition: responsibilities with success metrics, a must-have skills list capped to avoid the unicorn trap, a valid comp range, and a clean biased-language screen.
Letter of intent for an enterprise customer to sign before I build
An unsigned letter of intent the customer can sign: intent-to-purchase language, commercial terms, conditions, an explicit non-binding clause, and two signature blocks.
Liquidation Preference Structure Spec
The founder (or counsel) has a complete, parameterized specification of the liquidation-preference stack ready to drop into a term sheet or shareholders' agreement.
Liquidation Preference vs Convert Election Calculator
The founder can predict, deterministically, what each preferred holder will choose at any exit value and the resulting proceeds split.
Love-vs-like product diagnostic instrument
A measurement instrument that tells love from like across five signals (repeat use, fanatical users, the would-miss test, organic referral, willingness to pay), each with a metric, a numeric threshold, and a data source.