AI Agents: See AI Agent Reasoning Behind Responses
Wong Yi Teng
Business Problem:
As AI Agent becomes more capable, the reasoning behind their responses and actions become increasingly important. Reasoning is what AI uses to interpret user intent, decide next steps, and orchestrate actions across automations. Currently, reasoning is hidden. When an AI Agent sends a message or performs an action, users have no visibility into why it happened.
This makes it difficult to:
- Troubleshoot unexpected AI behavior
- Validate that AI is acting in line with user intent
- Build trust in AI-driven conversations.
Desired Outcome:
Introduce a feature to expose AI Agent’s reasoning behind messages and actions sent to a Contact. This allows users to understand why AI responded or acted in a certain way, improving transparency, trust, and debuggability for teams using AI Agents.