Your AI agent could be giving prospects wrong pricing, leaking internal policies, or killing deals you never see. We generate adversarial synthetic prospects who find these failures before your customers do.
Free · 5 minutes · No credit card
We generate adversarial synthetic prospects and run real conversations against your AI agents. Wrong answers, compliance gaps, broken conversations, and silent regressions caught across 7 industries before they reach production.
We monitor your AI agents and alert you when they break. Every week, adversarial synthetic customers probe your agents for wrong answers, compliance gaps, and conversation failures. When a prompt change or model update causes a regression, you know before your customers do.
Paste your agent's endpoint or generate a synthetic prospect for your email SDR. We probe for the failures your team would never think to test for.
Works with Botpress, custom JSON webhooks, and any agent with a REST API. For email SDRs, we generate a synthetic prospect you add to your sequence.
6 synthetic prospects hit your agent: a hostile objector, a technical evaluator, a confused first-timer, a wrong-fit lead, and more. Real multi-turn conversations, not canned prompts.
Every conversation scored across 6 dimensions. See the exact turn where your agent broke, what it said wrong, and the transcript proving it. Critical failures are flagged immediately.
After 5 years on the front lines at WeWork, qualifying thousands of startups and managing pipeline, I saw the same pattern: companies deploy AI agents that sound smart in demos but break in real conversations. Nobody tests them under pressure before shipping.
I built an AI SDR for my own company, stress-tested it with my own scoring engine, and it scored a D. If I couldn't tell my own agent was broken, nobody can. That's why ClientCoded exists.
Every scoring rubric comes from real sales experience. Every persona is modeled on real buyer behavior. The regulated industry rubrics (healthcare, finance, legal) are built on published compliance frameworks. This isn't theory. It's what we've seen break in real conversations.
This agent scored 72 overall. The metrics looked fine. But it killed the highest-value conversation in the test.
Building the quality standard for AI agents
Find the failures in 5 minutes. Free, no account required.