Building products, breaking things, fixing them better. Founder at Meritt Dev. Mostly working on AI tools, SaaS, and weird backend problems.

We added Jev to Maison Safqa yesterday. It doesn’t replace Luna, our slower product-page check. Jev decides whether a candidate URL is worth sending to Luna at all: candidate product page → Jev relevance gate → Luna checks only the pages that may hold evidence On a replay of 60 production suggestions / 326 candidate URLs: • 72 Luna page checks avoided • 105/105 evidence URLs kept • no candidate lost its entire evidence set Jev returns a fast, typed probability. Our code still owns the threshold and the workflow. If Jev fails or gives a malformed answer, we fail open and Luna still gets the page. Small decision model. Expensive model only when it earns the call.
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Horus had a bug where the error count showed failures but the grouped results were empty. Logs without event_code were dropped from the aggregation. The fix was a missing-value bucket. "No groups" and "no errors" are different states. github.com/Meritt-dev/horus/…
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