Mirage
A linter for AI: synthetic users that test AI products the way people actually use them.
Mirage runs a population of persona-driven synthetic users that see and operate a real product’s interface with their own eyes, inside a sandboxed browser. Every run produces a canonical evidence report. Findings are cross-verified before they count, and every verdict stays advisory rather than gating a release.

Purpose
Gives teams shipping AI products an independent, repeatable way to exercise their interfaces before real users do: exploration and evidence, deliberately advisory and non-gating.
Audience
Engineering teams shipping AI products, especially teams that need Arabic-first Saudi/Gulf coverage alongside English.
Impact
Teams get an outside pair of eyes at scale: unexpected interaction issues surface early with evidence attached, in both Arabic and English, without adding another gate to anyone’s release pipeline.



