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AI agent for aerospace engineers

Design Trade Study Agent

A trade study with a clear, robust recommendation

DecisionsScience and researchProduct development
See how it worksGet access
Design Trade Study Agent: what goes in, what the agent does and what you get

What it does

Choosing between design options means running the numbers for each one, and a winner that rests on shaky data can mislead a program. When a trade study is requested, this agent gathers mass, cost and performance data for each option from models and suppliers, using supplier data over estimates when available. It removes any option that fails a hard requirement before scoring. It then scores the remaining options with the agreed weights and runs a sensitivity check to see whether the winner changes with small shifts in weights or data. If it does, it flags the study as not decisive and lists which data to firm up, then reruns once better data arrives. The engineer approves the recommendation and makes the decision. Edge case: an option that only wins with an optimistic supplier quote is flagged.

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.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Trade study requested 2 USES A TOOL Gather data for each option 3 DOES Remove options that fail hard requirements 4 USES A TOOL Score options with weights 5 USES A TOOL Run sensitivity checks 6 CHECKS THE RESULT Does the winner hold under sensitivity? If not: list data to firm up and gather it. Back to step2. 7 YOU APPROVE Engineer approves recommendation 8 RESULT Trade study report
Read the steps as a list
  1. Trade study requested
  2. Gather data for each option
  3. Remove options that fail hard requirements
  4. Score options with weights
  5. Run sensitivity checks
  6. Does the winner hold under sensitivity?If not: list data to firm up and gather it. Back to step 2.
  7. Engineer approves recommendationThe agent waits here for your OK.
  8. Trade study report

How it decides

It scores options with weights and checks if the ranking holds when weights or data move within the set range.

  • Remove options failing hard requirements
  • Flag studies where the winner changes
  • Use supplier data over estimates when available

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Sensitivity range (default 10%)
  • Criteria and weights
  • Report format
  • Data sources

What keeps you in control

It always asks you first

  • Final design decision

Hard limits

  • Never makes the design decision

It stops when

  • Done: report approved
  • Stop: data unavailable

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.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • 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
Get access to this agent

An example run

What happensA team compares three actuator options on mass, power, cost and reliability. The agent scores them with the agreed weights and option B wins. Its sensitivity check fails: a 10 percent change in the reliability weight flips the result to option C. It reruns the scores across a range of weights and lists the assumptions driving the flip. The lead engineer reviews the assumptions and approves the trade study report.

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