Introducing SF Agent: Build Salesforce Features in Minutes with AI

Today we are publicly launching SF Agent — an AI-powered platform that turns plain-English descriptions into fully deployed Salesforce changes. If you have ever spent an afternoon clicking through Setup screens to create a handful of custom fields, or spent a week wiring up a Flow that could be described in two sentences, SF Agent is built for you.

What SF Agent Does

You describe what you need in natural language. SF Agent generates the Salesforce metadata, validates it, and deploys it to your connected org — all within a single workflow. No copy-pasting XML. No toggling between browser tabs. No second-guessing whether you set that field-level security checkbox correctly.

The platform currently supports a broad set of Salesforce primitives:

• Custom Fields — picklists, lookups, formulas, roll-up summaries, and more
• Validation Rules — with correct formula syntax and error message placement
• Flows — record-triggered, screen flows, autolaunched, and scheduled
• Apex Classes and Triggers — including governor-limit-aware patterns
• Test Classes — generated alongside your Apex so deployments pass code coverage
• Lightning Web Components — full bundles with HTML, JS, CSS, and metadata
• Permission Sets — field-level and object-level access, correctly scoped
• Page Layouts, List Views, Reports, and Dashboards

How the Workflow Works

A typical session looks like this:

1. You type a prompt — for example: Add a currency field called "Renewal Amount" to the Opportunity object, required on all record types, visible to Sales and Finance profiles.
2. SF Agent generates a structured specification and the corresponding metadata components.
3. The platform validates the output against your org schema to catch conflicts before deployment.
4. If everything passes, SF Agent deploys the change to your connected sandbox or production org.
5. You get a deployment result with a full audit trail — what was deployed, when, and by whom.

For changes that touch production, you can configure an approval gate so a team lead reviews the generated metadata before it ships.

Who It Is For

SF Agent is designed for Salesforce admins, developers, and consultants who spend a disproportionate amount of time on repetitive configuration work. If your backlog is full of "add field X to object Y" tickets, or you are a solo admin handling requests from multiple business units, the platform is meant to compress that cycle from hours to minutes.

It is also useful for implementation partners running discovery-to-deployment sprints. Instead of manually building out a spec in one tool and then recreating it in Salesforce, you can go from requirement to deployed metadata in a single step.

What About Errors?

AI-generated metadata is not always perfect on the first pass. SF Agent handles this with a validation layer that checks for API name conflicts, missing dependencies, and schema mismatches before any deployment attempt. When a deployment does fail, the platform parses the error, explains what went wrong, and can auto-fix common issues like missing referenced fields or incorrect data types.

Every run is versioned. If a deployment causes a problem in your org, you can inspect exactly what was pushed and roll back the specific components.

Try It Free

SF Agent offers a free trial — 30 days, 15 prompts, no credit card required. Connect a sandbox, describe something you need, and see the result deployed in your org within minutes. If you like what you see, paid plans start at $99/month for unlimited deployments.

We built SF Agent because we believe the hardest part of Salesforce work should be deciding what to build — not spending hours building it by hand. We hope you will give it a try.

Get started at sfagent.dev/sign-up.