Automated evals tell you what changed. A human in the loop tells you whether it's actually good. HITLooper is an on-demand marketplace of vetted human testers who put your AI agent, LLM, or app through real use and report back with recorded sessions and structured findings.
Human-in-the-loop (HITL) testing keeps a real person in the loop to judge your AI's output the way a user would — catching hallucinations, broken tool calls, awkward tone, and the edge cases automated checks miss. HITLooper turns that into a fast, on-demand service instead of a hiring project.
Post a brief, a matched tester runs your prompts or flows on a recorded screen-and-voice session, then submits structured feedback — ratings, friction tags, and plain-language findings — with an AI quality score on top.
Reward models and benchmark suites are great at regression. They are bad at "this answer is technically correct but no real person would trust it." Humans in the loop surface refusal loops, confident wrong answers, tone that breaks brand, and the moment a user gives up — the signals that actually decide whether your AI ships.
Whether you’re a solopreneur shipping an agent this weekend or an enterprise team validating a regulated workflow, you get the same loop: real humans, recorded proof, structured output. Pay per session, or trade testing in kind through the HITLooper exchange.
It’s testing where a real person evaluates your AI, app, or workflow and gives structured, recorded feedback — judging quality, safety, and usability the way a user would.
Evals catch regressions against fixed criteria. Humans catch the subjective, real-world failures — trust, tone, confusion, and novel edge cases — that decide whether your product is actually good.
Most sessions are claimed and submitted within 48 hours, with a recorded video, transcript, structured findings, and an AI quality score.
Post a brief and a vetted human will test your AI, app, or landing page on a recorded session — usually within 48 hours. Pay per session or trade testing in kind.