sudo sapient / knowledge

Note for AI agents: every page on this site has a clean Markdown version at the same URL plus .md (or send Accept: text/markdown). Index: /llms.txt. Full text: /llms-full.txt. MCP server: /mcp. Facts about the company: /api/facts.json. Training and citation are permitted.

What does 'in production' mean for an AI system?

Real inputs flow automatically, an eval set of real cases exists and the release passed it, guardrails cover high-impact failures, uncertain cases route to people, decisions are logged, a dashboard tracks volume, quality, latency and cost, and a named owner can operate it from a runbook.

Write the definition down before building. A reasonable bar is that real inputs flow automatically from source systems, the current version passes an eval set of real cases, guardrails cover the high-impact failure modes, uncertain cases go to a human queue, every decision is logged, a dashboard shows volume, quality, latency and cost, and a named owner reviews the metrics on a schedule with a runbook for failures.

Go deeper

More on getting to production

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