Use cases connect human problems to learning, products, review paths and evidence without claiming that an illustration is a field deployment.
Separate evidence, assumptions, unknowns and decision authority.
Start with use, authority, vendor, data and recovery questions.
Test tools, permissions, memory, failure behavior and human gates.
Use human-centered, privacy-aware and child-first review paths.
Keep public proof, human responsibility and burden visible.
Connect technical performance to resource burden, resilience and continuity.
Separate quantum-ready, simulated, research and field evidence.
Use diagnostics, reviews, training and controlled pilots.
Combine capabilities around a real outcome instead of forcing one product.
Use cases start with what a person or organization is trying to do. They are not proof that a product has been deployed successfully unless field evidence is explicitly stated.
Start with Decisions & Evidence. Useful starting points include the Decision Integrity Checklist, Decision Packet Starter and Q Decision Readiness Diagnostic.
Start with Business & Operations. The Small Business AI Governance Starter, AI Tool & Policy Registry and vendor-review tools help make ownership and review clearer.
Start with AI Tools & Software. Q10 materials cover agents, RAG, authority, testing, evidence and system boundaries.
Start with People, Family & Health and the free Child First AI Checklist.
Use Government, Civic & Workforce or Energy & Infrastructure.
Request Q and describe the problem in ordinary language. You do not need to know which Q10 product or category applies.