I want to show you where your agent messes up so I can validate my product

We're two engineers building through Entrepreneurs First, and we've built agent-evaluation systems before. On the newest real-world agent benchmarks, the best AI agents finish only about 1 in 4 tasks on the first try. Your agent returned an answer that looks right, but underneath, it took 11 steps where 4 would do, called the wrong tool twice, silently recovered from an error you never saw, and ran up your API bill doing it. Outcome-only testing ("was the final answer correct?") missed all of it. The failures lie in the trajectory, not the output. And you can't fix what you can't see. That's what my cofounder and I are building Jugmax to fix. We run your agent through hundreds of realistic tasks and grade the full trajectory - every step, every tool call, every result - with LLM-as-judge plus human review against rubrics. You get back your real success rate, the exact step where it first breaks, where it's wasting tokens, and what to fix next. We'll evaluate one of your production agents - pick your most-used, highest-stakes one - completely free. 2 teams only. We don't want your data; we're validating on real agents, and you’ll walk away with an honest map of where yours actually breaks. If you're shipping an agent and want to see what it's really doing, comment or DM.