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AI agent for urban planners

Engagement Reach and Representation Agent

An engagement process whose respondents reflect the community, with documented gaps and the actions taken

Engagement Reach and Representation Agent: what goes in, what the agent does and what you get

What it does

Public meetings and surveys tend to draw homeowners and retirees, while renters, young people and non-English speakers go unheard. This agent compares respondent demographics with the community's profile from census data, covering age, tenure, income, language and area. It finds the gaps and suggests outreach methods to close them, such as a pop-up at a transit stop, a translated flyer or a school partnership. After each engagement round it counts who responded, rechecks representation and adjusts the plan. It checks that the next round's outreach matches the gaps found and that the results are not weighted on too few responses. The planner approves the outreach plan. Edge case: a neighborhood with no responses at all is flagged for a direct visit instead of another email.

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, continueApprovedYes, continueNoNo 1 STARTS WHEN Engagement round closes 2 USES A TOOL Load respondent data and the community profile 3 DOES Compare respondent shares with resident shares 4 CHECKS THE RESULT Is any group below the representation threshold? If not: list the gaps by group and area. Back to step 3. 5 DOES Suggest outreach methods matched to each gap 6 DOES Estimate effort and cost of each method 7 YOU APPROVE Planner approves the outreach plan 8 USES A TOOL Run the outreach and collect new responses 9 DOES Recompute representation with the new responses 10 CHECKS THE RESULT Have the gaps narrowed below the threshold? If not: change the method for the remaining gaps andplan another round. Back to step 4. 11 RESULT Representation report
Read the steps as a list
  1. Engagement round closes
  2. Load respondent data and the community profile
  3. Compare respondent shares with resident shares
  4. Is any group below the representation threshold?If not: list the gaps by group and area. Back to step 3.
  5. Suggest outreach methods matched to each gap
  6. Estimate effort and cost of each method
  7. Planner approves the outreach planThe agent waits here for your OK.
  8. Run the outreach and collect new responses
  9. Recompute representation with the new responses
  10. Have the gaps narrowed below the threshold?If not: change the method for the remaining gaps and plan another round. Back to step 4.
  11. Representation report

How it decides

A group is under-represented when its share of respondents is more than a set number of points below its share of residents. Methods are chosen to match the group.

  • Flag a group more than 5 points under its resident share
  • Pick methods by group, such as in-person events for people without internet
  • Provide translated materials for languages above 5% of residents
  • Flag any neighborhood with zero responses

Make it yours

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

  • Representation threshold (default 5 points)
  • Groups and benchmarks
  • Outreach budget
  • Languages

What keeps you in control

It always asks you first

  • The outreach plan and any spending

Hard limits

  • Never contacts residents without approval
  • Does not weight results from tiny samples

It stops when

  • Done: representation gaps are closed or documented
  • Stop: no demographic data was collected

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 first round had 480 responses: renters were 14% of respondents but 46% of residents. The check failed. The agent proposed a transit-stop pop-up and flyers in Spanish and Vietnamese. After round two, renters rose to 31%, still 15 points under, so it added a building manager partnership. Round three reached 41%. The planner approved each plan.

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