responsibility-mapper

Responsibility mapping organizes task boundaries and role definitions by classifying work by phase or domain, then delineating in-scope and out-of-scope areas. This prevents overlap and gaps, ensuring each agent has a distinct, manageable role within your AI system architecture.

Agent candidate identification proposes suitable AI agents based on defined responsibilities, specifying their roles, required tools, and composition. Start by mapping responsibilities across project phases—such as database design or deployment—then assign agents to non-overlapping domains.

Responsibility classification evaluates task granularity and identifies overlaps or gaps by organizing work by phase, domain, or role. Clear in-scope and out-of-scope definitions reduce ambiguity and ensure comprehensive coverage across all agent responsibilities.

Yes. Responsibility mapping applies during planning to clarify agent composition and design, during design to delineate boundaries, and during execution to ensure agents remain within defined roles. It generates agent-definition artifacts usable across all project stages.

Gather detailed work specifications including task phases, domain areas, and role requirements from your project scope. Responsibility mapping extracts this information to organize boundaries and propose agent candidates with clearly defined responsibilities and tool requirements.