Choose what to get done
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.
Goal decomposed into an executable task plan
A goal broken into ordered, tool-assigned steps with a resolved, acyclic dependency graph, so an agent (or a team) can execute it without ambiguity.
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.
Incident response playbook
A severity-tiered response playbook (roles, response targets, escalation, comms) so responders follow a plan instead of debating process mid-outage.
Influencer pay ceiling
A value-based pay ceiling per influencer (from order value, margin, and conversion rate), with a within-budget verdict.
Input guard against prompt injection
A reusable guard that enforces type, length, and charset per field and rejects inputs smuggling section-break delimiters or fake instruction/role markers, before the LLM sees them.
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.
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.
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.
Logs, metrics, and traces instrumentation plan
A concrete plan covering all three observability pillars per service, plus an SLI for every golden signal, so you can actually see what your app is doing.