Choose what to get done
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.
Pre-requisition team gap register
A defensible record of WHY this role exists and the specific gap it fills on the team, completed before any job description is written.
Pre/Post-Money Cap Table With Option Pool
The founder has a fully-reconciled pre- and post-money cap table, with the option pool shuffle baked in, ready to attach to a term sheet.
Project a Weekly Growth-Target Schedule
A pure function that, given a starting metric value, a weekly growth rate, and a number of weeks, returns the compounded target for each week and the final value, mirroring the YC forward-looking growth graph practice.
Rank product features with a collaborative weighted scorecard
A product team prioritizing a roadmap gets each feature's weighted value, cost normalized to the most expensive feature, absolute value, and a deterministic rank, computed exactly per the CWS formula.
Reference-check call script and scorecard
A structured reference-check script with a confidentiality preamble, probing questions, and a numeric endorsement scorecard.
Route a Founder Task to the Right Claude Surface
The founder gets a pure routing function that takes a task's structured attributes and returns the correct Claude surface, applying the book's surface-selection logic deterministically across any list of tasks.
Sales discount-authority matrix
I get a discounting matrix where each role's max discount climbs with seniority, no role can approve beyond the list-price padding, and term-authority is recorded per level so reps must escalate larger asks.
Score AI model process and tool maturity into bands
A team assessing whether an AI model is mature enough to sell as a service gets a process-maturity band and a tool/system-maturity band computed directly from per-phase level scores, ready to feed the AIaaS feasibility decision.
Score an AI idea's business feasibility on 1-4 scales
A founder comparing AI product ideas gets a defensible 1-4 score on each business-feasibility dimension and an average, derived from concrete inputs (SOM, usage cadence, validation %, scalability), so ideas can be ranked on a like-for-like basis.
Sources & Uses of Funds Statement
The founder has a fully reconciled sources-and-uses statement that maps every dollar of the raise to a milestone, task, owner, and funding source.
Structured hiring decision scorecard
A structured scorecard where each interviewer's vote and rationale are recorded and the final verdict provably follows your decision rule (no after-the-fact rationalization).
You are not what you make. You are the one who can make it.
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