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Replying to @andri
I asked 3 AI agents to review a nutrition tracking app I built with Lovable.
They clicked around like real users. Within 5 minutes they found a crash, flagged missing features, and gave it a 4/10.
That kind of feedback normally takes weeks to surface. Here's the full demo.
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I replace the SaaS you rent and the manual work you hate | Co-Founder @ NodeSparks
that's really cool, i've been using similar custom workflows to test my own builds, but there's one thing that always goes sideways with all those AI audits: consitency
how do I know that after I fix everything, on the next run, the agents won't identify other gaps or flag issues that contradict the initial feedback loop?
or if i run 2 parallel runs on the same app, how similar those 2 results will be?