OtterScore is a hostile critic — a fine-tuned model that reads your AI agent's output against your acceptance policy, then tells you exactly what's wrong before it becomes a decision. The verdict: pass, rework, or fail. With exact reasons and line references. Works with any agent. Starts in shadow mode. Built for finance teams — credit memos, KYC, wire checks. seaotter.ai/submit — try it free, no signup.
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We built OtterScore after seeing the same pattern: agents draft credit memos, pass all quality checks, and somewhere in the middle there's a number that doesn't match the source.
The final answer looks fine. The reasoning step was wrong.
OtterScore reads every step, not just the output. You set the acceptance policy — we enforce it.
What does your current agent review process look like? Happy to answer questions.
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