Deepen the Codex product-work guidance with explicit artifact stages, production-readiness receipts, model-timing assumptions, and a deletion/simplification review criterion so cheap implementation does not create ungoverned prototype slop.
Capture the Codex product-work interview in TAC loop-engineering guidance. Preserve PRD/spec discipline, prototypes, human taste/systems review, receipt-gated background agents, and explicit ownership even when implementation gets cheaper.
Ground TAC loop-engineering guidance in external production references: NVIDIA Secure Agent Workspace, Infisical Agent Vault, Anthropic agent evals, and OWASP AI Agent Security. Lock signed-action-only deploy posture and research markers with pytest.
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