docs(tac): add open model harness guidance
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.
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@ -16,6 +16,9 @@ def test_loop_engineering_meta_prompt_locks_safety_fields():
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"end-loop guardrails",
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"latency, token use",
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"YouTube `GrNbuWWJYiI`",
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"Open-source model portability",
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"quality gate checklist",
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"YouTube `dJI2GRG1GEE`",
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"Model Workspace Protocol",
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"00-intake/",
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"40-ship/",
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@ -50,6 +50,22 @@ LLMOps/hill-climbing only promotes a changed prompt, retrieval config, tool conf
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Reference: Sean's AI Stories, "You Can Learn AI Agent Harness & Loop Engineering In 19 Min" (YouTube `GrNbuWWJYiI`).
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## Open-source model portability note
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A strong harness should make the task portable across model tiers, including open-source or lower-cost models. Plans must spell out enough context, phases, and quality gates that a non-frontier model can follow the work without relying on hidden taste.
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For outbound/productized work, require:
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- explicit prospect/input target;
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- crawler or source gathering step;
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- report generation step;
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- cover letter or executive summary when the output is meant to sell or persuade;
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- design/report review phase;
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- quality gate checklist that loops back to the builder when review fails;
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- model/cost notes when choosing GLM/open-source/local models over frontier models.
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Reference: Jordan Urbs, "GLM 5.2 Proves Open Source AI Can Match Fable 5 (AI Harness Engineering)" (YouTube `dJI2GRG1GEE`).
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## Model Workspace Protocol note
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For sequential workflows with human review between stages, prefer folder-structured orchestration before multi-agent framework code. The Model Workspace Protocol pattern treats numbered folders as stages, markdown files as role/context carriers, and local scripts as the boring mechanical layer.
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