A practical guide to AI agent backpressure: how to prevent overloaded tools, worker pileups, queue explosions, and cascading failures when production workflows outrun system capacity.
Posts for: #Production
AI Agent Acceptance Criteria: The Minimum Bar Before You Let It Touch Real Work
A practical guide to AI agent acceptance criteria: how to decide whether a workflow is actually ready for production, what to measure before sign-off, and how to avoid shipping on demo vibes.
AI Agent Caching: How to Cut Cost and Latency Without Serving Stale Junk
A practical guide to AI agent caching: what to cache, what not to cache, how to set freshness rules, and how to reduce cost and latency without making your agent confidently wrong.
AI Agent Drift Detection: How to Catch Behavior Changes Before Customers Do
A practical guide to AI agent drift detection: what drift actually looks like in production, which metrics catch it early, and how to respond before a small behavior change turns into expensive cleanup.
AI Agent Feature Flags: How to Change Behavior Without Gambling on a Full Deploy
A practical guide to AI agent feature flags: what to gate, how to roll changes out safely, and how to reduce blast radius when prompts, tools, routing, or approval logic change in production.
AI Agent Error Budgets: How Much Failure You Can Actually Afford
A practical guide to AI agent error budgets: how to define acceptable failure, protect margin, and decide when an agent can keep running, needs tighter controls, or should be turned off.
AI Agent State Machine: How to Stop Production Workflows From Turning Into Guesswork
A practical guide to AI agent state machines: why they matter, which states to define, and how they make production workflows easier to debug, govern, and trust.
AI Agent Confidence Scores: How to Show Uncertainty Without Faking Precision
A practical guide to AI agent confidence: why fake percentages are dangerous, what to expose instead, and how to use confidence, freshness, provenance, and missing-data rules to make agent decisions safer in production.
AI Agent Dead Letter Queue: How to Catch Failed Runs Before They Disappear
A practical guide to AI agent dead letter queues: what they are, when to use them, what metadata to capture, and how they help operators recover failed runs without guessing.
AI Agent Circuit Breakers: How to Stop One Bad Run From Becoming a Production Incident
A practical guide to AI agent circuit breakers: where to put them, what signals should trip them, and how to contain blast radius before one bad workflow turns into downtime, duplicate actions, or runaway cost.