Capture the NanoClaw autonomous work-agent blueprint in the TAC loop-engineering meta-prompt. Require plans to distinguish shared agent factories from personal work agents, isolate each agent, separate credentials through vault/proxy injection, define access policies, and include management/revocation surfaces. Tests lock the new markers.
Capture the GLM 5.2 harness video in the loop-engineering meta-prompt. Require portable context, report/review phases, quality gates, and model/cost notes so TAC plans can run on lower-cost or open-source models without relying on frontier-model taste.
Capture the Sean's AI Stories loop-engineering video in the TAC meta-prompt. Require plans to name harness context, memory, guardrails, traces, evals, and promotion criteria, and lock those markers with pytest.
artale