Action over noise
Reports should help teams fix what matters first — not overwhelm them with technical clutter. Every bug is triaged, deduplicated, and ranked by impact.
We started MonkeyTest after watching teams burn weeks on test scripts and still miss the bugs that hurt real users.
Every team we talked to had the same story: they ship fast, but testing still feels slow, manual, and fragile. Even great teams were relying on checklists and brittle scripted flows — while real users kept finding the bugs that mattered most.
The pattern was always the same — forms that silently fail, buttons that stop responding on mobile, navigation that dead-ends in real-world usage. These bugs slipped through because traditional testing verifies expected behaviour, not unpredictable behaviour.
So we built an AI agent that behaves like a real visitor: clicks around, makes odd choices, tries unexpected paths, and surfaces what actually breaks. The goal isn't to produce noise — it's to ship you a clear, triaged report so you can fix high-impact issues quickly. Then re-run with one click to verify the fix is actually fixed.
That's MonkeyTest. A simple product anyone can point at a URL — solo founders, agencies, and product teams all use it the same way.
Reports should help teams fix what matters first — not overwhelm them with technical clutter. Every bug is triaged, deduplicated, and ranked by impact.
We simulate messy, unpredictable interaction paths because real visitors don't follow scripts — and that's where the bugs that lose you customers actually live.
Testing should happen continuously and quickly so teams can ship confidently every release. Find a bug, fix it, hit Re-run, prove it's gone.
No setup, no script-writing, no credit card.