Use when designing AI Agent product capabilities, competition judging evidence, or production agent safety. Creates judgment → action → verification/improvement loops with retrieval, rule checks, approval, logging, and feedback.
2026년 7월 3일
Use after PRD/domain model and before implementation. Designs system architecture, component boundaries, dataflow, integration points, security boundaries, logging, audit, failure handling, and demo-vs-production separation.
2026년 7월 3일
Use before asking coding agents to implement features, especially when outputs must converge across Claude, Codex, Gemini, or human maintainers. Creates deterministic code-generation rules for naming, imports, exports, folders, APIs, UI states, tests, lint…
2026년 7월 3일
Use before CPS, PRD, pitch, or competition submission when a product needs a sharp data-driven business model. Creates the 11-block DDBM canvas, data asset assumptions, risk linkage, cost/revenue model, and judge-facing business thesis.
2026년 7월 3일
Use before presentation, judging, client delivery, sprint closeout, or team handoff. Prepares final demo script, runbook, handoff document, known limitations, change history, maintainer notes, and submission-readiness package.
2026년 7월 3일
Use before architecture, database design, code generation, or AI Agent implementation. Builds an implementation-ready domain model with entities, relationships, states, transitions, events, permissions, and audit relationships.
2026년 7월 3일
Use when a project needs proof that agent outputs remain useful, grounded, safe, and maintainable over time. Creates organization-specific evals: golden cases, rubrics, failure modes, regression schedule, cross-agent normal-form comparison, and safety gates.
2026년 7월 3일
