AI agent for process development scientists
Process Parameter Window Study Agent
Define an operating window that the data actually support, with extra runs where it is thin.
What it does
A process window such as a temperature range or pH range is often set from a few runs near the center point, so the edges are guesses. This agent reads the run data and fits models of each quality attribute against the process parameters. It maps the region where predictions meet specification and shows how much confidence the data support at each edge. It checks coverage: which parts of the window have few or no runs. Where the window is uncertain, it proposes extra runs that would narrow it, chosen with a design of experiments approach. After the new runs come in, it refits and rechecks the window. It never changes the process. The scientist approves the window and any additional runs. Edge case: strong interaction between two parameters means the window is drawn as a region, not as separate ranges.
How it works
Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.
Read the steps as a list
- New run data or review due
- Load run data and specifications
- Fit models of quality against the parameters
- Do the models fit well with sound residuals?If not: try interaction and curvature terms and refit. Back to step 3.
- Map the region where predictions meet specification
- Check run coverage and prediction confidence across the window
- Is the window well supported at every edge?If not: propose extra runs at the weakest points. Back to step 5.
- Scientist approves the extra runsThe agent waits here for your OK.
- Read the new results and refit
- Write the window proposal with evidence
- Operating window report
How it decides
It accepts a window point when the model predicts the quality attribute within specification with enough confidence. Regions with sparse runs are marked uncertain regardless of prediction.
- Mark a region uncertain if fewer than 3 runs lie within it
- Require a prediction interval inside specification at the edge
- Propose runs at the point with the widest interval first
- Include interaction terms when their effect is significant
Make it yours
Every agent is a starting point. You choose these settings for your own situation.
- Quality attributes and specifications
- Confidence level (default 95%)
- Minimum runs per region (default 3)
- Parameter ranges
- Design type
What keeps you in control
It always asks you first
- Extra runs
- The final operating window
Hard limits
- Never change live process settings
- Show the data coverage with every window
It stops when
- Done: window supported and approved
- Stop: specifications cannot be met anywhere in range
Set it up
We guide you through the set-up, step by step
Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.
- One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
- The agent then walks you through connecting your own data, one source at a time
- A downloadable copy with the flow chart, the rules and the full guide
