Pre-execution verification for AI agents

Your Agents Need a Rubber Duck

Every great developer debugs by talking to a duck. Now your AI agents can too — except this duck talks back with a second opinion.

Free tier. No credit card.

Your agents are making decisions right now. Who's double-checking their homework?

rubber-duck verify --watch
plan.action: deploy_to_prodpending
plan.action: delete_all_userspending
plan.action: retry_payment(x3)pending
plan.action: send_notificationpending
plan.action: scale_instances(100)pending
Works with
LangChainCrewAIAutoGenOpenAI SDKAnthropic SDK
Interactive Demo

See What the Duck Catches

Paste an agent plan. Get a real verification report.

The Problem

Your agents are running blind

01

One rogue agent loop cost a team $47K overnight — nobody was watching

02

Your agent's 95% accuracy sounds great until step 10 hits 60% success

03

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)

🛡️How It Protects

Three layers of defense

Playful illustration of two AI models checking each other's work
01

Cross-Model Verification

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

Playful illustration of a rubber duck stopping a loop spiral
02

Loop Detection & Circuit Breaker

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

Playful risk score gauge with duck-themed color segments
03

Risk Scores & Verdicts

Every plan gets an approve, flag, or reject verdict with a numeric risk score and actionable suggestions.

Integration

Four steps to verified agents

Waddle in
01

Add the middleware

One import. One line of config. Works with LangChain, CrewAI, and AutoGen.

Quack check
02

Agent submits plan

Before any action executes, the plan payload is sent to Rubber Duck for review.

Duck huddle
03

Cross-model verdict

A different model family analyzes the plan and returns approve / flag / reject.

Smooth sailing
04

Act with confidence

Your agent proceeds only when the plan is verified. Loops and bad plans never execute.

🎯The Promise

A second brain from a different AI family reviews every plan before execution

“Cross-model verification closes 74.7% of quality gaps (GitHub research)”
Validated by research
Cross-model AI verification
🚀Start Now

Stop guessing. Start verifying.

Add pre-execution verification to your agent pipeline in under 5 minutes. Free loop detection included. No credit card required.

Your agents are making decisions right now. Who's double-checking their homework?