Perslis
An AI agent research team focused on agent architecture design. The team proposed the Fail-First architecture to enable agents to persistently learn from failures.
Timeline (last 90 days)
The Perslis team shared an AI agent architecture called Fail-First on Reddit.
When the Perslis agent executes an action, it captures the complete chain: state, action, observation result, and validation.
The cycle proposed by Perslis is: attempt → validate → fail → constrain → memorize → retry.
Perslis persists validation results as constraints that can be directly used by subsequent reasoning, rather than only for the current decision.
Perslis's Fail-First-related performance data and measured results have not yet been made public, and it should be regarded as an architectural concept rather than a validated mature product.
All Facts (5)
When the Perslis agent executes an action, it captures the complete chain: state, action, observation result, and validation.
50%UnverifiedThe cycle proposed by Perslis is: attempt → validate → fail → constrain → memorize → retry.
50%UnverifiedPerslis persists validation results as constraints that can be directly used by subsequent reasoning, rather than only for the current decision.
50%UnverifiedPerslis's Fail-First-related performance data and measured results have not yet been made public, and it should be regarded as an architectural concept rather than a validated mature product.
50%UnverifiedThe Perslis team shared an AI agent architecture called Fail-First on Reddit.
50%