How to Build an Agent Deployment Pipeline From Scratch
On a Friday afternoon, an engineer changes one sentence in a support agent’s system prompt to make replies more concise. Unit tests pass. The image...
9 stories
On a Friday afternoon, an engineer changes one sentence in a support agent’s system prompt to make replies more concise. Unit tests pass. The image...
An LLM can return a fluent, confident answer that contains unsupported claims, contradicts the retrieved context, or invents facts. Traditional application monitoring won’t catch any...
An AI system can give a confident answer its source data doesn’t support. It can retrieve the wrong document and summarize it fluently, pick the...
Nobody deployed anything. Error rates are flat, latency is fine, every request returns 200. But the answers your agent gave in March were better than...
Can a model that never writes a single word be the brain of an AI agent? We made 21,314 calls to find out, and the...
The short answer An AI pipeline can look healthy at the infrastructure level while the actual AI system is failing. A model can be available,...
Your security team says traces can’t leave the building. Your finance team says the observability bill can’t grow with traffic. Your engineering team says they...
AI agent guardrails are relatively straightforward to evaluate when an agent only generates text. The decision gets more complicated as soon as the agent can...
An agent passes every offline eval in CI. You ship it. Production breaks within a week, because a class of prompts your eval dataset never...
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