RealFeedApp beta
- flow-1 detects failures 23x cheaper than GPT-6-sol
The Flow-1 model, trained with reinforcement learning, matches GPT-6-sol detection quality while reducing costs by 23x. It operates within the Signals agent, treating traces as repositories to identify logical errors across spans.
- Field
- applying language models
- What they did
- Developed the flow-1 model, which analyzes agent operation logs using reinforcement learning to detect hidden failures and explain their causes.
- Why it matters
- This enables teams to continuously inspect all agent activity records in real time, rather than randomly finding errors, making development more reliable and reducing costs.
#flow-1#reinforcement learning#agent traces#signals agent#llm
