What is a Reasoning Agent?
A reasoning agent is an AI agent that uses explicit step-by-step thinking — such as chain-of-thought or extended thinking — to break down complex problems, evaluate options, and make informed decisions before acting.
WHY IT MATTERS
Early AI agents acted on instinct — generating the first plausible action without deliberation. Reasoning agents think before they act, using techniques like chain-of-thought prompting or dedicated reasoning models (o1, o3, Claude with extended thinking).
This deliberative approach dramatically improves performance on complex tasks. A reasoning agent analyzing a DeFi yield opportunity doesn't just pick the highest APY — it considers smart contract risk, liquidity depth, impermanent loss, gas costs, and correlation with existing positions.
The tradeoff is latency and cost. Reasoning tokens are expensive, and thinking takes time. For time-sensitive financial operations, you need to balance thoroughness with speed — perhaps using fast models for routine transactions and reasoning models for novel situations.
HOW POLICYLAYER USES THIS
Even the most sophisticated reasoning can be flawed. PolicyLayer provides a safety net — regardless of how an agent reasons about a financial decision, the transaction must still pass spending policies. Reasoning quality improves average outcomes; spending controls bound worst-case outcomes.