Multiple independent tests showed agents still fail often on tasks requiring dozens of steps, with errors accumulating along the chain. Reliability is widely accepted as the main obstacle to deploying agents.
Key facts
- Failure rates stay high on long multi-step tasks
- Errors accumulate along the execution chain
- Reliability decays exponentially rather than linearly
- Few effective mid-course correction mechanisms
Big Share take
Reliability is agents’ biggest weakness and least discussed, because it demos badly. An agent that succeeds ninety percent per step is down to barely ten percent over twenty steps, and that arithmetic decides what it can do.
Compiled from public reports; opinions are for reference only.