Choose what to get done
Rank the 19 traction channels into Bullseye A/B/C rings
I get all 19 traction channels sorted into Bullseye rings with a disciplined inner ring, so I concentrate my first experiments instead of chasing every channel at once.
Recommend a skim, penetration, or neutral launch-pricing strategy
I get a defensible launch-pricing call (skim, penetration, or neutral) that follows from an explicit read of the decision factors, so the strategy is not a guess.
Reference-check call script and scorecard
A structured reference-check script with a confidentiality preamble, probing questions, and a numeric endorsement scorecard.
Revenue Zone Matrix prospect classification grid
I get a structured grid that plots each of my prospects on demand (awareness/interest/demand) and trust (know/like/trust) and derives which of the three zones they sit in, with no prospect left unplaced.
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.
SaaS magic number
Your SaaS magic number (annualized new revenue over prior-quarter sales-and-marketing spend) with an efficiency band telling you whether to scale acquisition.
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 a content piece on the STEPPS virality framework
The buyer gets a complete STEPPS scorecard: all six factors rated on the agreed scale, each with a stated rationale tied to the content, plus a computed total.
Score a set of OKRs (0.0-1.0) and run the six classic-trap litmus checks
You get your OKR set scored on the 0.0-1.0 scale (each objective = the average of its key-result completion rates), each objective color-banded on the Google red/yellow/green scale, and a structural pass/fail against the six classic OKR-writing traps.
Score a term sheet's economic terms clause-by-clause
A structured JSON scorecard that classifies every required economic clause of the term sheet onto a three-tier favorability scale and computes a weighted founder-friendliness index.
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.
You are not what you make. You are the one who can make it.
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