Jev's six-question review lifts checkout agent success from 12% to 88%
With the same model and no weight changes, having Jev ask six structured questions after each failure in 50 adversarial checkout attempts kept 8 rules and discarded 16 noisy failures, taking 29 seconds and $0.02.
I just built a Jev X Self-Improving Agent. 12% → 88% success. 29 seconds. $0.02. Zero fine-tuning. Same agent. Same model weights. 50 attempts at a hostile checkout. after every failure Jev asks 6 typed questions: which step broke, what was the root cause, will it happen again or was it noise. 8 rules kept. 16 failures thrown away as noise. ignore the green "BUY NOW" banner - +16 pts captcha → audio challenge - +12 pts the agent was never bad at checkout. it was bad at not clicking ads. Read this article on Jev Engineering below and turn your ideas into reality.
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