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Sandbox docs composition mount guard: real-source failure and forward-fix evidence
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Sandbox SDK error class split: byte-identical move and public export evidence
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Sandbox SDK egress extraction source comparison evidence for PR12487
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Revision: 2c32fe4fe3bdb536dacd66c9952ed2d32f7ca3cc (after merging main PR #152).
Complete gate beelink1-7e1b3dcb1d06722716083e0c745e85b7 passed, exit 0, Node v22.23.3 with frozen dependencies. Repository checks, remaining suite, native process cleanup matrix, release contract, packed public first-task RPC proof and the installed real Codex turn all passed in that gate.
One written note vs a live AI manager vs nothing: three arms on machine-checked quantum circuit optimization (1/20, 10/20, 15/20) — full data, charts, blog and thread
We paid an AI $2.48 to manage other AIs. The managed team beat the unmanaged one 15–1.
A measured result on AI supervision, with receipts: the plan and budget were frozen before launch, a fixed program graded every answer, a second session replicated the scoring from raw files, and both mistakes we made are published at the top of their documents.
The problem
Quantum computers run circuits, and every two-qubit gate in a circuit is a chance for the hardware to fail — so compilers work hard to remove them. The standard tool, qiskit's level-3 transpiler, is randomized: run it 20 times, keep the best. That best-of-20 defines our benchmark: given 20 circuits and a real device layout, produce a rewrite with fewer two-qubit gates (or the same number, arranged shallower) that provably computes the same thing.
"Provably" is the load-bearing word. A fixed grading program — committed to the repository before any run, untouchable by the AIs — checks each delivered circuit for exact mathematical equival