Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

AI agent for salesforce administrators

Sandbox Deployment Validation Agent

Get a deployment package that passes validation against production before anyone deploys

Quality controlIT and development
See how it worksGet access
Sandbox Deployment Validation Agent: what goes in, what the agent does and what you get

What it does

A deployment that worked in the sandbox fails in production because a field, a flow or a test class is missing, or code coverage falls under the limit. This agent compares sandbox and production metadata and builds the list of components in the change, including everything those components depend on. It runs a validation-only deployment against production, which changes nothing, and reads the errors: missing dependencies, failing tests, coverage gaps, profile and permission differences. It fixes the package by adding missing components, adjusting test data or drafting test classes, and validates again. It repeats until validation passes. The administrator approves the real production deployment. Edge case: a test passes in the sandbox only because of sandbox data, so the agent rewrites it to create its own data.

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 Package ready for production 2 USES A TOOL Compare sandbox and production metadata for thecomponents 3 DOES Add dependencies the package needs 4 USES A TOOL Run a validation-only deployment against production 5 DOES Classify each error as dependency, test, coverage orpermission 6 CHECKS THE RESULT Did validation pass with coverage above the requiredlevel? If not: fix the package for each error, such as missingcomponents or tests, and validate again. Back to step 3. 7 CHECKS THE RESULT Do the tests pass without relying on sandbox-onlydata? If not: rewrite the tests to create their own data andvalidate again. Back to step 3. 8 DOES Write the deployment notes and manual steps 9 YOU APPROVE Administrator approves the production deployment 10 RESULT Validated package and deployment notes
Read the steps as a list
  1. Package ready for production
  2. Compare sandbox and production metadata for the components
  3. Add dependencies the package needs
  4. Run a validation-only deployment against production
  5. Classify each error as dependency, test, coverage or permission
  6. Did validation pass with coverage above the required level?If not: fix the package for each error, such as missing components or tests, and validate again. Back to step 3.
  7. Do the tests pass without relying on sandbox-only data?If not: rewrite the tests to create their own data and validate again. Back to step 3.
  8. Write the deployment notes and manual steps
  9. Administrator approves the production deploymentThe agent waits here for your OK.
  10. Validated package and deployment notes

How it decides

It reads each validation error, classifies it as dependency, test, coverage or permission, and applies the smallest package fix for that class.

  • Require at least 85% coverage on the deployed code
  • Add every component the metadata comparison shows as missing in production
  • Rewrite tests that depend on sandbox-only records
  • Stop after 5 validation rounds and ask for help

Make it yours

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

  • Coverage threshold (default 85%)
  • Number of validation rounds (default 5)
  • Components allowed to be added automatically
  • Org aliases
  • Notes template

What keeps you in control

It always asks you first

  • Administrator approves the production deployment
  • Release manager approves the timing

Hard limits

  • Validation only, never deploy to production
  • Never alter production data

It stops when

  • Done: validation passes and notes are written
  • Stop: five rounds fail or a manual configuration step is missing

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 package of 14 components failed validation with 6 errors. Three were a missing custom field, two were test failures and one was coverage of 71% against 75%. The agent added the field and drafted two tests. The second validation passed coverage but failed one test that relied on a sandbox account, so the check failed. After the rewrite the validation passed at 83%, and the administrator deployed.

More agents for salesforce administrators

Quality control · Data cleanup

HR Data Import Reconciliation Agent

A validated import file with every employee accounted for.

7 steps1 check2 jobs
Quality control · Management

Team Knowledge Handoff Test Agent

Handoff guides that someone new can actually follow.

8 steps2 checks6 jobs
Quality control · Product development

Product Documentation Task Test Agent

Docs examples that work exactly as written.

8 steps2 checks3 jobs
Quality control · Compliance

Sales Territory Record Quality Agent

Every account assigned by the territory rules.

7 steps2 checks4 jobs