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Project DELTA

CI/CD for model knowledge: when a model's source of truth changes, detect the drift, build grounded evidence, choose the least-cost intervention, and promote or rollback the resulting model state.

SENSE → BUILD → DECIDE → VERIFY
Mac = cockpit | GitHub = code | B2 = data | Lambda/Modal = workers

Workers are disposable. Code and data are not.

what goes where

Start with:

The active vertical slice is e1_vllm: version fidelity and failure modes across vLLM documentation revisions.

command

./scripts/lab run --target modal \
  --config configs/experiments/e1_vllm/c0_base_eval_qwen35_08b_modal.yaml

invariant

World changes produce versioned evidence.
Interventions are promoted only after recovery and regression checks.
The cheapest intervention satisfying the quality constraint wins.

what can die

Workers, local caches, failed candidates, and rejected interventions.

what must survive

Pinned source revisions, dataset manifests, run evidence, promotion decisions, and model-state lineage.

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