Cost optimization lab
Mastery: ship checklist
A second person can reproduce replay day shows −32% $ with groundedness drop ≤ 0.01 vs all-frontier baseline from a clean checkout and name the owner for COST-ROUTER-MISCLASS-14.
1Learn the idea
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Clean-room demo
From a fresh clone/directory, run the commands that prove replay day shows −32% $ with groundedness drop ≤ 0.01 vs all-frontier baseline. A second person plays finance partner capping July LLM spend at $12k and follows your script without coaching. The demo includes limitations: what token+router cost controller for mixed FAQ vs complex research traffic still will not do.
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Evidence pack
Bundle: contract snippet, passing tests, metric snapshot for usd_per_successful_answer and groundedness, security negative probe, rollback note, owner name. Reference COST-ROUTER-MISCLASS-14 as the drill you rehearsed. If any item is missing, the ship gate fails even if the happy path dazzles.
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Implementation artifact
python replay_cost.py --day 2026-07-12 --baseline all-frontier --candidate router-v2
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Ownership and next review
For Cost optimization lab, name the human who gets paged, the review date for thresholds, and the condition that triggers reevaluation. Endpoint POST /v1/answer remains the production surface you operate for token+router cost controller for mixed FAQ vs complex research traffic — not a slide. Keep COST-ROUTER-MISCLASS-14 in the handoff template so the next owner inherits the drill.
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Stage depth
After the peer demo, schedule the next threshold review date. File a short changelog that mentions COST-ROUTER-MISCLASS-14 and the control that addresses it. Archive the evidence pack where your team already stores launch records. Resist rewriting everything “for real production” in one weekend — operate this slice until the metrics bore you, then widen. Final self-check: if telemetry vanished, would you still know to hold? If yes, you learned the operating posture this lane teaches.
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Field notes for `cost-optimization-lab` / `mastery-ship`
Trim the demo script until every command is necessary. Record a peer signature line: name, date UTC, pass/fail. File known limitations as bullets, not apologies. Link the evidence pack from the README. Schedule the next game day on a calendar, even if it is solo. Archive the branch tag or release digest you actually shipped. In this chapter the product is token+router cost controller for mixed FAQ vs complex research traffic, the human stakeholder is finance partner capping July LLM spend at $12k, and the incident id you design against is COST-ROUTER-MISCLASS-14. Re-state the oracle in your notes — replay day shows −32% $ with groundedness drop ≤ 0.01 vs all-frontier baseline — and keep the invariant visible: simple FAQs route to mini model; monthly forecast alerts at 80% budget. Track usd_per_successful_answer and groundedness as the scoreboard. Surface under change control: POST /v1/answer. If you only have forty minutes, finish the fixture for router sends long research prompts to mini — quality collapses, retries inflate spend before polishing UI. Promotion language stays ternary: promote, hold, or roll back based on evidence, not hope.
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Before you start
Why this matters
Draft a two-minute demo script that proves replay day shows −32% $ with groundedness drop ≤ 0.01 vs all-frontier baseline from a clean directory. Include the failure rehearsal for router sends long research prompts to mini — quality collapses, retries inflate spend and the rollback/owner line. If the script needs tribal knowledge, the lab is not shipped.
In the wild
See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.
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