Q10 — Full Catalog

This is a 60-day observation pilot that watches how decisions are made without taking control, so a team can find gaps in evidence, authority, review, and follow-up.

This is an AI-authority review that helps you check what an AI helper is allowed to do, which tools or data it may use, and what should happen if it goes outside those rules.

This is a limited workforce pilot that tests how people and AI helpers could work together while keeping roles, authority, stop rules, and human responsibility clear.

This is a repeatable test kit that helps you design and test how AI helpers might work inside an organization while keeping human roles, authority, accountability, and exit opti...

This is a system blueprint that helps you design and test how AI helpers might work inside an organization while keeping human roles, authority, accountability, and exit options...

This is a template pack that helps you design and test how AI helpers might work inside an organization while keeping human roles, authority, accountability, and exit options cl...

This is a buying guide that helps you compare AI products before purchasing them using evidence, data practices, risk, cost, and human-control questions.

This is a cost-and-resource review that helps you measure the money, computing, energy, and operating burden of an AI system instead of looking only at performance.

This is a simple registry that helps you keep track of which AI tools are being used, by whom, for what purpose, and under which rules.

This is a vendor review tool that helps you check an AI seller’s claims, evidence, data practices, limits, and failure handling before trusting the product in important work.

This is a question guide that helps you ask an AI vendor what the product really does, what data it uses, how it was tested, and what happens when it fails.

This is an authority map that helps you make it clear who may decide, approve, stop, override, and review a process.

This is a simple ledger that helps you write down who benefits, who carries the cost or risk, and what evidence supports those claims.

This is a biological-computing research pack that helps you examine claims, evidence, limits, and risks without assuming that a new computing method is automatically safe or bet...

This is a test-data and comparison pack that helps you bind claims and actions to inspectable evidence.

This is a child digital-life research pack that helps you study risks from AI companions and digital services without treating marketing claims or simulated behavior as proof of...

This is a checklist that helps adults check whether an AI tool protects a child’s safety, privacy, dignity, understanding, and ability to get help from a real person.

This is a guide that helps you separate what is actually known from what is assumed, predicted, or still unverified.

This is a record-keeping kit that helps you connect each important claim to the source that supports it, record uncertainty, and keep a visible history when the claim changes.

This is a construction and infrastructure review that helps you keep evidence, risks, ownership, costs, and important changes attached to the decision.

This is a register that helps you record conflicting evidence and missing information instead of quietly choosing one version and hiding the disagreement.

This is a data-and-memory review that helps you see where stored information came from, whether it is current, and whether corrections can be traced.

This is a limited data-center pilot that checks a decision or operating process for evidence quality, resource burden, responsibility, and failure handling before wider use.

This is a data-handling kit that helps you see where data came from, who can use it, how long it is kept, and what happens when it must be corrected or deleted.