Agent Reasoning and Reliability

When the assistant works through a complex request, you can now see its thinking in real time. A “thinking” step appears in the conversation showing how the agent breaks down the problem, weighs approaches, and picks its tools.

This makes it easy to follow the agent’s logic, catch misunderstandings early, and course-correct if its reasoning goes in the wrong direction.

The agent is also more reliable at multi-step work. It now knows when it’s actually done: it can run multiple tools in sequence, chain results together, and stop cleanly once the task is resolved. Something like “search this document, cross-reference it with the case, draft a response, and update the record” works as one continuous sequence instead of needing nudges between steps.