mfowler
a0f7652e9e
A single Builder that builds AND self-verifies (same DoD rigor), with NO independent Adversary and no claim/review handoff. The control for measuring what the AI adversary costs (its tokens, ~half of a loop-pair run) and buys (independent cold verification vs self-certification). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
28 lines
1.5 KiB
Markdown
28 lines
1.5 KiB
Markdown
# Builder-solo example — no Adversary (self-verification baseline)
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A single **Builder** agent, same task spec as [`../builder-adversary`](../builder-adversary/), but
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with **no Adversary**: the Builder builds *and* verifies its own work, then self-certifies `## DONE`.
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No `claim(`/`review(` handoff — there's nothing to hand off to.
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This is the **control** for the AI-as-adversary design. Comparing it against `builder-adversary` on
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the same task answers two things:
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- **Cost:** how much of a run's tokens is the independent Adversary? (In the loop-pair runs the
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Adversary is ~45–53% of the total — this variant removes that.)
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- **Quality:** does an independent cold verifier catch things a self-checking builder misses? Self-
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certification has an obvious failure mode — the same agent that wrote the bug decides whether it's
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a bug. This variant measures what you give up by dropping the second pair of eyes.
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The Builder's role prompt keeps the same verification *rigor* (run every DoD check, try to break it,
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paste observed output, no self-rubber-stamping) — the only thing removed is the **independent**
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adversary. So the comparison is "independent verification vs self-verification," not "verification vs
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none."
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```bash
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python3 ../../agents.py status --config agents.toml
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python3 ../../agents.py up --config agents.toml # needs `claude` on PATH
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```
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The `agent-orchestrator-benchmark` repo runs this head-to-head with the other variants on the same
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multi-phase task and reports tokens + the efficiency ratios.
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