A synchronous AI agent starts from a user request and returns progress or a result within an interactive session. The person remains available to clarify requirements, approve actions and correct the agent before it continues.
Synchronous agents provide more task execution than a copilot while retaining a short feedback loop. Their design must manage latency, intermediate state and approval points so the user understands what the agent is doing while they wait.
ELI5
A synchronous AI agent works while the user remains in the same active session waiting for progress or a result. The person can answer questions, approve actions, and correct the agent before it continues.
For example, a coding agent can inspect a small issue, ask one clarifying question, propose a change, and wait for approval. The interface should show progress and clear decision points so the user understands the ongoing work.
How is a synchronous agent different from a copilot?
A copilot mainly suggests alongside the user, while a synchronous agent may execute several steps but still completes them within the user's active session.
What tasks suit synchronous AI agents?
They suit bounded tasks that finish quickly enough for interactive review and benefit from immediate clarification or approval.
