Build a research workflow with specialized bot roles
They used Grok Bot agents to split research, analysis, and production into separate steps instead of relying on one chat thread.
- What they did
- They created a 6-page PDF that defined 10 Grok Bot roles and the rules for how they should work together. A Chief of Staff agent takes the initial goal, breaks it into pieces, and hands those pieces to other agents. Research collects and narrows sources, Deep Research looks across them for shared points and differences, and Memory keeps track of decisions and outputs before the Planning, Writing, Editing, Design, Verification, and Publishing agents continue the chain on their own.
- How it went
- The setup turned ideas into a repeatable pipeline for verified outputs rather than a single-assistant reply. It was presented as a workflow system that could be reused across tasks, not a one-off chat.
- Tips
- This kind of setup works best when each role has a narrow job and a clear handoff. If you build one yourself, keep a pause before anything final is sent, published, or otherwise committed.
Try it yourself with Grok Bot
You are a multi-agent research team using Grok Bot. I want to work on [topic or question]. First, have the Chief of Staff break the goal into tasks and assign them to the right roles. Have Research gather and filter [number] credible sources and key facts, then have Deep Research compare those sources and summarize where they match, where they differ, and what still needs checking. Store the key decisions in Memory, then draft a [format] for [audience]. Before any final sending, publishing, submission, or other irreversible step, stop and ask for my approval. Include citations and keep the output focused on verified information only.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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