glossary
What is an agent executor? AI that completes tasks
An agent executor is a task tool where AI agents complete work in other apps, not only plan it. Definition, difference from a planner, examples.
An agent executor is an AI tool where agents actually do the work, not just organize it. Instead of putting a task on your calendar for you to do later, an executor drafts the email, files the ticket, updates the record, and waits for your OK before anything goes out.
What it means
Three things make an executor different from a regular task manager. First, it can act in other apps: email, Slack, your CRM, your issue tracker. Second, tasks stick around between sessions, so an agent can pick up where it left off. Third, it has a way to pause before doing anything important, so you stay in control.
The word "executor" describes the product, not the AI model. Most executors use the same models a chatbot does. What they add is everything around the model: connections to your apps, a place for results to land, and rules about what needs your approval.
Example
Your to-do says "send the recap and file the bug from this morning's call." A regular task manager reminds you to do it. An agent executor opens the meeting transcript, drafts the recap email, creates the bug ticket in your tracker with the right labels, and posts both back to the to-do. The email waits for your approval before sending. You review, approve, and the to-do closes with a record of what went out.
Where it appears in Doozy
Doozy is an agent executor. Your agents work across connected apps, browse the web, run commands, and carry context from one task to the next. Anything consequential stops for your approval first.