Choose what to get done
Scannable pitch deck on a proven structure
A scannable deck spec: required sections in order, one idea per slide, and a three-sentence elevator pitch.
Score a business document on the eight S's of strong writing
A completed eight-S audit register with exactly one scored row per required feature, each row carrying a rating, a verbatim text excerpt, and (when below threshold) a remediation note, plus a weighted total that is arithmetically consistent.
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 and rank candidate pricing metrics on the six-criteria rubric
I get a filled scorecard where every candidate metric is rated 1-5 on all six criteria with a weighted total and a clear rank order, so I can pick the key pricing variable defensibly.
Score and rank causes by importance, tractability, neglectedness
A function that takes a list of candidate causes each rated on importance (scale/severity), tractability (feasibility of progress), and neglectedness (how underfunded), and returns each cause's composite priority score plus a stable descending rank.
Score Problem Candidates on the Ikigai Four-Lens Fit
A founder receives a structured four-lens score for each candidate problem and a shortlist of those that clear every lens, so they pick a problem to focus on rather than a buzzword.
Scored brickyard inventory of demand-and-trust touchpoints
I get a structured brickyard: every touchpoint sorted into the five areas (online presence, content, offerings, customers/partners/influencers, internal team) and rated on three fixed dimensions, ready to assemble into a journey.
Screen Startup Against Incubator/Accelerator Eligibility Criteria
A founder receives a structured eligibility screen showing, criterion by criterion, whether the startup qualifies for a given incubator or accelerator program and whether it clears the overall gate.
Security baseline (dependency + CVE scan)
A dependency/CVE scan runs and reports zero unresolved criticals.
SETDA AI Outcome Discovery Register
A product team running AI discovery gets a structured register of candidate AI outcomes, each correctly categorized (revenue / cost / risk) and mapped to a Sense/Explain/Think/Decide/Act method, with needs and requirements broken out per the SETDA framework.
You are not what you make. You are the one who can make it.
Opens soon. Get early access the day it goes live.