Topic
- Observability for LLM systems: what to log when the output is textConventional monitoring tells you the request succeeded. For a model-backed system that is nearly useless — the interesting failure returns 200 and says something wrong.2 min read· Observability· Platform· AI in production
- PaperThe integration layerA reference architecture for getting data out of systems of record and into an application that can rely on it — sync, identity, permissions, and the tests that catch an upstream change before your users do.5 min read· Data and integration· Platform
- The cost model of an LLM feature, worked throughTeams estimate token cost and are surprised by the bill. The gap is almost never the price per token — it is retries, context growth, and the runs nobody counted.2 min read· Cost· LLM workflows· Platform
- What “production” means for an agentEleven questions that separate a system from a demo. None of them are about model quality, and most projects that stall have not answered more than three.3 min read· AI in production· Platform
