Evidence before tooling
Ten practical, source-backed guides for defining requirements, choosing the next prototype, estimating real cost, mapping safety questions, researching prior art, and handing off evidence without calling an AI concept production-ready engineering.
Free planning tool · transparent 100-point method
Check a criterion only when you can point to the named evidence. The weights favor measurable requirements, safety questions, and an owned evidence trail. The result identifies the next planning job; it is not engineering or compliance approval.
Can you point to this evidence?
A specific user, situation, current workaround, and observable outcome are documented.
Worth 12 points
Use the score to prepare questions. Qualified engineers, test laboratories, regulatory specialists, counsel, and suppliers must review decisions within their scope.
Generate a concept to scoreComplete initial library
A practical, source-backed workbook for turning a product idea into measurable requirements, risks, tests, and a decision-ready prototype brief.
Replace vague product adjectives with measurable requirements, verification methods, tolerances, and evidence a prototype team can actually use.
Build a transparent low, base, and high manufacturing cost model that includes materials, conversion, tooling, yield, freight, warranty, and channel margin.
Choose a prototype process from the question you need to answer, the material behavior required, quantity, tolerance, lead time, and evidence limits.
A responsible, repeatable discovery search using USPTO, WIPO, and EPO tools—plus clear limits on what a non-legal search can prove.
A first-pass workflow for mapping intended use, users, hazards, claims, markets, regulators, and standards without making false compliance promises.
Turn repairability and circularity into concrete design inputs for access, fasteners, modules, spare parts, software support, material marking, and disassembly.
Compare candidate materials with weighted evidence for function, process, safety, supply, repair, lifecycle, and cost instead of choosing from appearance alone.
Red-team an AI product concept for unsupported requirements, impossible geometry, weak cost assumptions, unsafe novelty, and claims that outrun evidence.
Build a controlled product-concept handoff with requirements, interfaces, risks, source trail, cost assumptions, prototype evidence, and explicit open questions.