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Prism-Eval
Catch AI digit drops in CI before prod
Prism-Eval is open-source adversarial CI for AI extraction agents. Catch digit drops, prompt injections, and OCR drift before poisoned tool calls reach your engines. G4 false-accept invariant · JUnit/SARIF · Apache-2.0. pip install prism-eval.
Top comment
Hey Product Hunt — maker here. pytest assumes deterministic functions. AI extraction agents do not. An agent can pass every golden fixture on Monday and still ship $45,000 instead of $450,000 on Tuesday — digit drops, OCR column shifts, PDF-footer injections. Happy-path tests never see those. Prism-Eval is open-source adversarial CI for that gap: builtin G4 corpora → attack-aware scoring → fail the build when critical false accepts slip through (g4_invariant_held). JUnit/SARIF for GitHub Actions. Not a chatbot judge. Not a runtime blocker. Try it: pip install "prism-eval==0.3.0" Live demo (no signup): https://insightitsgit.github.io/... Landing: https://www.insightits.com/produ... GitHub: https://github.com/insightitsGit... If CI finds the blast radius and you need production enforce later, that’s Prism-Shield (separate) — soft pair, not required to try Eval. Question: what’s the worst silent wrong-dollar / wrong-field your agent suite still “passed”?
About Prism-Eval on Product Hunt
“Catch AI digit drops in CI before prod”
Prism-Eval was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #136 on the daily leaderboard. Prism-Eval is open-source adversarial CI for AI extraction agents. Catch digit drops, prompt injections, and OCR drift before poisoned tool calls reach your engines. G4 false-accept invariant · JUnit/SARIF · Apache-2.0. pip install prism-eval.
On the analytics side, Prism-Eval competes within GitHub — topics that collectively have 41.4k followers on Product Hunt. The dashboard above tracks how Prism-Eval performed against the three products that launched closest to it on the same day.
Who hunted Prism-Eval?
Prism-Eval was hunted by Amin Parva. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Prism-Eval including community comment highlights and product details, visit the product overview.