A web app that stress-tests AI agents on real multi-step production tasks before they ship
AI agents fail 70-95% of real production tasks despite high benchmark scores because benchmarks test recall, not execution under real conditions. Teams have no way to discover those failure modes before deploying to users. This tool runs agents through a library of real-world task gauntlets, surfaces where and why they break, and gives engineers concrete fixes before they ship.
Demand Breakdown
Social Proof 2 sources
Gap Assessment
4 tools exist (LangSmith, HumanLayer, AgentOps, Braintrust) but gaps remain: Locked to LangChain ecosystem; no pre-built library of adversarial real-world task gauntlets; no structured failure taxonomy so engineers know what to fix, not just that something broke; Human-in-the-loop is a workaround not a fix; does not surface WHY the agent failed or how to make it not need human intervention; small early-stage product ($660K revenue, $500K raised).
Features7 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| LangSmith | Traces LangChain agent runs and lets you write test datasets + evaluation functions; good for regression testing on known inputs | Locked to LangChain ecosystem; no pre-built library of adversarial real-world task gauntlets; no structured failure taxonomy so engineers know what to fix, not just that something broke |
| HumanLayer | Adds human approval gates to agent workflows to stop compounding failures mid-run; addresses the symptom (bad action about to happen) rather than the root cause | Human-in-the-loop is a workaround not a fix; does not surface WHY the agent failed or how to make it not need human intervention; small early-stage product ($660K revenue, $500K raised) |
| AgentOps | Monitoring and cost tracking for agent runs in production; records sessions and surfaces token costs and latency | Observability layer only; no pre-production stress testing, no task gauntlets, no structured reliability scoring that tells a team if an agent is safe to ship |
| Braintrust | Prompt and LLM evaluation platform with scoring, logging, and A/B testing of prompts; strong for single-turn and RAG evaluation | Prompt-level evaluations do not cover multi-step agent task success; no task gauntlet library for real production workflows; no agent-specific failure mode taxonomy |
Leads181BUILDER
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