Choose what to get done
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.
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 brick sorted into the five areas (online presence, content, offerings, ecosystem, internal team), scored on the three fixed dimensions, with a ready/cracked/missing status per brick and per-area counts that match the bricks, 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 meets a given incubator or accelerator program's stated rules and whether it clears the overall must-have gate.
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.
Seven-sentence investor elevator pitch
A canonical seven-sentence investor elevator pitch (introduction, problem and solution, competitors, market opportunity, business model, achievements, funding ask), one checked sentence per slot within your word cap, naming your startup and founder, with the market-size and funding-ask sentences cross-checked against the pitch's own 16-slot fact sheet.
Shared value opportunity register
A validated shared value opportunity register where every opportunity has both a business benefit and a societal benefit, is mapped to a pathway, spans at least 2 distinct pathways, and has a feasibility tier.
Slugify function
A correct slugify(text) that passes the held-out cases.
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, with the totals machine-checked to tie out.