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AI agent for economists

Regional Economic Brief Builder Agent

Produce a consistent, checked regional brief in hours instead of days.

Regional Economic Brief Builder Agent: what goes in, what the agent does and what you get

What it does

A regional brief pulls employment, prices, housing and trade data from several agencies, and each source defines the region and the date differently. This agent pulls the series for a chosen region and checks that definitions, geography and dates match. When they do not, it finds a matching series or flags the gap. It builds the charts and tables, looks for oddities such as a sudden jump, a missing month or a revision, and checks each one against the source. If a number looks wrong, it reads the source notes and corrects the series. It then drafts the brief text. The economist approves the release.

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, continueYes, continueApprovedNoNo 1 STARTS WHEN New data release 2 USES A TOOL Pull employment, price, housing and trade series forthe region 3 DOES Check region definitions, dates and units for eachseries 4 CHECKS THE RESULT Do all series match on region, frequency and units? If not: search for a matching series or mark the gap andexplain it. Back to step 2. 5 DOES Build charts and tables 6 DOES Flag oddities such as jumps, gaps and revisions 7 USES A TOOL Check each flagged item against source notes 8 CHECKS THE RESULT Is each oddity explained by the source? If not: correct the series or mark it unreliable. Backto step 6. 9 DOES Draft the brief text 10 YOU APPROVE Economist approves release 11 RESULT Regional brief with sources and notes
Read the steps as a list
  1. New data release
  2. Pull employment, price, housing and trade series for the region
  3. Check region definitions, dates and units for each series
  4. Do all series match on region, frequency and units?If not: search for a matching series or mark the gap and explain it. Back to step 2.
  5. Build charts and tables
  6. Flag oddities such as jumps, gaps and revisions
  7. Check each flagged item against source notes
  8. Is each oddity explained by the source?If not: correct the series or mark it unreliable. Back to step 6.
  9. Draft the brief text
  10. Economist approves releaseThe agent waits here for your OK.
  11. Regional brief with sources and notes

How it decides

It accepts a series only when region, frequency and units match, and investigates any change larger than expected.

  • Flag a monthly change above 3 standard deviations
  • Use the latest revision and note the date
  • Prefer seasonally adjusted data and say so
  • Mark a series unreliable if the source is not documented

Make it yours

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

  • Region definition
  • Series list
  • Flag threshold (default 3 standard deviations)
  • Brief length and format

What keeps you in control

It always asks you first

  • Economist approves the brief before release

Hard limits

  • Never publishes a brief
  • Always lists the source and date for every figure

It stops when

  • Done: brief approved with every series checked
  • Stop: key series not available for the region

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 happensFor the Eastside region, the agent found county employment rose 4.1 percent in one month. Checking source notes showed a benchmark revision had shifted the series. The unadjusted comparison failed, so it replaced it with the revised series and the change was 0.6 percent. Housing permits were missing for one county, so it stated the gap. The economist approved the brief.

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