Agent Personas: AI Agents for Data Cleanup and Other Lab Tasks

The problem: repeat lab chores that never get done

Keeping data consistent and producing weekly reports are jobs every lab repeats. They slip because no one has time, and duplicate names and messy records pile up.

Data cleanup is a good example. The same test gets saved as "Gloss 60", "60 deg gloss" and "Gloss (60°)" by different people, and every chart or model built later has to work around it. Nobody owns the fix, so the mess grows with each new project.

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What this demo shows

1. Create a Bodie agent and give it a role, such as data cleanup.
2. Give it instructions and a schedule. It runs as you, with your permissions.
3. On Monday at 9:00 a.m., it reads 600 output names and finds the same test saved under different names.
4. Approve each fix with one click, and write your own personas for weekly reports or other repeat work.

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Why it matters

Consistent names and records are what make search, charts and models trustworthy. When cleanup depends on someone finding a free afternoon, it doesn't happen, and every analysis downstream inherits the inconsistency.

Agent personas turn that recurring work into a scheduled job that runs with the same permissions as the person who set it up. Each proposed fix waits for approval, so the team keeps control of its data while the agent does the searching and the paperwork.

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See it with your own data

This video is part of Bodie. To see how it would work with your own formulations and records, request a demo. Our team replies within 30 minutes during business hours.