Every great developer debugs by talking to a duck. Now your AI agents can too — except this duck talks back with a second opinion.
Your agents are making decisions right now. Who's double-checking their homework?
A runaway agent loop can burn thousands in API costs overnight
Your agent's 95% accuracy sounds great until step 10 hits 60% success
You're monitoring what went wrong. Nobody's checking what's about to go wrong.
Cross-model verification closes 74.7% of quality gaps (GitHub research)

GPT reviews Claude. Claude reviews GPT. A second AI family catches blind spots the original model cannot see.

Detects repeating plan patterns in real-time and recommends circuit-breaker actions before costs spiral.

Every plan gets an approve, flag, or reject verdict with a numeric risk score and actionable suggestions.
One import. One line of config. Works with LangChain, CrewAI, and AutoGen.
Before any action executes, the plan payload is sent to Rubber Duck for review.
A different model family analyzes the plan and returns approve / flag / reject.
Your agent proceeds only when the plan is verified. Loops and bad plans never execute.
“Cross-model verification closes 74.7% of quality gaps (GitHub research)”