Choose what to get done
AI Use-Case Technical Feasibility Scorer
A non-technical founder gets a defensible 1-4 score on each of the five technical-feasibility dimensions and an average, derived purely from yes/no characterizations of the use case, with no hand-waving.
AIaaS Lean Canvas with Templated Pitch
A founder productizing an AI model as a service gets a complete, structured AIaaS lean canvas plus a ready elevator pitch in the book's exact format, with no empty fields and a valid deployment mode.
AIaaS Productization Decision Register
A founder deciding which of their internal AI models to package and sell as AIaaS gets a defensible, rule-derived register that says Go / Go-with-notes / Stop per model and names the single best candidate to commercialize.
Assess a Foothold Against the Four-Element Nonconsumption Pattern
A structured foothold-fit assessment that records, for each of Christensen's four elements of the nonconsumption pattern, the buyer's claim, supporting evidence, and a pass/partial/fail mark, with an aggregate fit verdict computed by rule.
Assess Startup Lifecycle Stage Exit Readiness
The founder gets a structured readiness assessment that scores their startup against the named exit criteria for their current stage (Idea/MVP/Launch/Scale), surfacing which gates are met with evidence and which are blocking, so the stage-transition decision is reasoned rather than an act of faith.
Build 83(b) Election and Capital-Gains-Clock Register
A structured compliance register listing every founder with restricted stock, their 83(b) filing deadline (incorporation date + 30 days), filing status, mailing-proof reference, and a days-remaining / overdue flag, so no founder misses the irrecoverable window.
Build a Compliance Control and Evidence Register
The founder gets a structured control register that maps each required control to its framework, the evidence artifact that satisfies it, its present/missing status, and an owner, so the documentation and controls needed to pass a compliance review are enumerated and tracked rather than improvised.
Build a Discovery-Driven Assumptions Checklist for a New Venture
A structured discovery-driven planning register: the required financial targets stated up front, then a rank-ordered assumptions checklist where every assumption has a test, a cost, and a kill/continue trigger, per Christensen's reversed four-step method.
Build a Founder Operational Load and Delegation Register
The founder gets a structured operational-load register that classifies every routed task by delegation tier and flags the ones that stall in a founder's week-long absence, turning 'I do everything' into a triaged plan for what to systematize, delegate, or keep.
Build a Head-Hand-Heart Talent Remuneration Package
An early-stage founder receives a structured offer that pairs ESOPs and tax-aware cash with explicit psychological motivators, so they can compete for talent they cannot out-pay on salary alone.
Build a Jobs-vs-Attributes Market Segmentation Map
A structured circumstance-based segmentation map: a set of jobs-to-be-done, each tagged with the functional/emotional/social dimension, the circumstance, and the competing-alternatives set (which must include a nonconsumption option), explicitly contrasted against the rejected attribute-based segments.
Build a Performance-Overshoot and Basis-of-Competition Register
A structured overshoot register: one row per market tier recording demanded vs delivered performance, an overshoot verdict, and the predicted next basis of competition, computed by rule from the numbers the buyer supplies.
You are not what you make. You are the one who can make it.
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