The Silent Failure Problem: When AI Agents Confidently Do Nothing Useful
An agent that crashes is easy to catch. An agent that finishes its run, reports success, and quietly produces garbage is the expensive one.
8 articles tagged "agent reliability".
An agent that crashes is easy to catch. An agent that finishes its run, reports success, and quietly produces garbage is the expensive one.
Robotic process automation promised to digitize the back office and quietly buried thousands of bots in maintenance debt, broken integration
Most agents that fail to ship don't fail a capability test. They fail a trust test. A vendor demos an agent that books travel, reconciles in
The fastest way to make an autonomous agent more reliable isn't a smarter model or a longer prompt. It's teaching the agent when to stop and
Durable execution engines give AI agents a memory of where they were when something broke. They persist every step of a workflow so that whe
Most teams reach for fine-tuning when their agent misbehaves, then spend weeks training a model that still fails the same way. The hard trut
The hard part of building a vertical AI agent isn't the model. It's the last 20% of domain knowledge that lives in nobody's documentation: t
Outcome-based pricing sounds like the great equalizer of the agent economy: you only pay when the agent delivers. But the model rewards whoe