Choose what to get done
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.
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 complete, category-balanced register of answers to the standard investor due-diligence questions, ready to drop into a data room.
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.
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.
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.
You are not what you make. You are the one who can make it.
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