ClientCoded
Stress-test your AI sales agent before your prospects do
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Travis Cronin

ClientCoded - Stress-test your AI sales agent before your prospects do

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You launched an AI agent. Have you tested it against a prospect who pushes back hard, gives contradictory info, or is clearly the wrong fit? ClientCoded generates synthetic prospects across 6 personality types and fires them at your agent. Each one has a real back-and-forth conversation with your chatbot. Our system scores every transcript across 6 dimensions: qualification, objections, tone, guardrails, flow, and outcome. You get a letter-grade scorecard in 10 minutes. Free. No login required

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Travis Cronin
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I built AgentProof after stress-testing my own AI SDR and finding failure modes I didn't know existed — a hostile prospect that made it give away competitive pricing, a wrong-fit lead it kept trying to close instead of disqualifying, and a tire kicker it pushed too hard and lost. I figured if my agent had those gaps, everyone else's probably did too. So I built a tool that generates synthetic prospects across 6 personality types and fires them at your agent. Real conversations, AI-scored transcripts, letter-grade scorecard in 10 minutes. Free, no login required. Happy to answer questions about how the scoring works, what each persona tests for, or what a "good" score actually looks like.
Saul Fleischman

@travis_cronin This is exactly the kind of stress-testing that should happen before production. The competitive pricing leak and disqualification failures you caught are the ones that blow up deals quietly—hard to spot in cherry-picked demos. Curious how you're scoring for those specific failure modes versus just conversation quality, since an agent can sound fluent but still tank the deal.