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AI agent for salesforce administrators

Release Regression Test Agent

Find and fix release breakage in the preview environment before production updates

Quality controlIT and development
See how it worksGet access
Release Regression Test Agent: what goes in, what the agent does and what you get

What it does

Three times a year, the vendor release changes behavior and something breaks: a report total, a flow, an integration. This agent runs when the preview sandbox updates. It runs the saved test scenarios, such as creating a record, running a payroll preview, firing a flow or calling the integration, and compares the results with the last run. It investigates each difference: a changed field format, a new required value or a renamed setting. It checks the vendor's release notes for the cause. It drafts a fix and reruns the scenario. The administrator approves the fixes before they go to production. Edge case: a difference is a deliberate vendor improvement in the number format, so the agent updates the expected value after approval.

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
ApprovedYes, continueNo 1 STARTS WHEN Vendor release preview available 2 USES A TOOL Run the saved scenarios in the preview sandbox 3 DOES Compare each result with the last run 4 USES A TOOL Search release notes for each difference 5 DOES Classify differences as regression, intended changeor test issue 6 DOES Draft fixes for regressions 7 YOU APPROVE Administrator approves fixes and updated expectedvalues 8 USES A TOOL Apply fixes in the sandbox and rerun all scenarios 9 CHECKS THE RESULT Do all scenarios now match approved results? If not: revise the fix for the failing scenario andrerun. Back to step 6. 10 RESULT Release readiness report
Read the steps as a list
  1. Vendor release preview available
  2. Run the saved scenarios in the preview sandbox
  3. Compare each result with the last run
  4. Search release notes for each difference
  5. Classify differences as regression, intended change or test issue
  6. Draft fixes for regressions
  7. Administrator approves fixes and updated expected valuesThe agent waits here for your OK.
  8. Apply fixes in the sandbox and rerun all scenarios
  9. Do all scenarios now match approved results?If not: revise the fix for the failing scenario and rerun. Back to step 6.
  10. Release readiness report

How it decides

It treats any difference from the last run as a regression until the release notes or the administrator explain it as intended.

  • Treat any difference without a release note as a regression
  • Update an expected value only after approval
  • Run all scenarios again after each fix
  • Rank integration failures first

Make it yours

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

  • Scenarios and order
  • Release schedule to watch
  • How results are compared
  • Integration systems included
  • Who reviews the report

What keeps you in control

It always asks you first

  • Administrator approves each fix
  • Administrator approves updating expected results

Hard limits

  • Run only in the preview sandbox, never in production
  • Never accept a changed result without a reason

It stops when

  • Done: all scenarios pass in the preview
  • Stop: a regression has no workaround before the production update date

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 happensThe preview run of 42 scenarios showed 5 differences. Two were new date formats listed in release notes and were approved as intended. A payroll preview total changed by 0.4% and a flow failed on a new required field. The agent made the field optional in the flow. The rerun still failed on the payroll total, so the check failed. It traced the rounding rule change and updated the configuration setting. The administrator approved.

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