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Fal.ai, worked by an AI employee

Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your Fal.ai account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.

  • AI Models
  • Connects with a key
  • 9 ready-made tools
  • Asked in Slack or Teams
At work

An illustration of how the conversation reads, not a transcript from a client account.

What Fal.ai is

The generative media platform for developers with 600+ AI models for image, video, voice, and audio generation

You paste in a key from your own Fal.ai account. It is kept encrypted, and you can withdraw it from inside Fal.ai whenever you like.

How a run works

One message in, the work done in Fal.ai.

  1. 01

    You ask

    You message your AI employee in the chat your team already has open, in one sentence, in your own words.

  2. 02

    It works out the step

    It decides what the job needs in Fal.ai. You do not pick anything from a menu or wire anything together.

  3. 03

    It does the work

    Signed in to your own Fal.ai account, inside the access you granted it, doing the thing you asked for.

  4. 04

    It reports back

    It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.

9 tools it already has

What it can do in Fal.ai

These are the ready-made tools your AI employee already has in Fal.ai. It is not limited to them, but it never has to be taught these.

  • Cancel Queue RequestTool to cancel a queued or in-progress request in fal.ai's queue system. Use when you need to stop a request before it completes. Note that cancellation only succeeds if the reques
  • Check Queue Request StatusTool to check the status of a queued request in fal.ai. Use when you need to monitor the progress of an async request. Returns different information based on status: queue position
  • Estimate PricingTool to estimate pricing for fal.ai model endpoints. Use when you need to calculate expected costs for API calls or unit-based usage across one or more endpoints.
  • Get JWKS for Webhook VerificationTool to retrieve public keys for webhook signature verification. Returns a JSON Web Key Set containing ED25519 public keys. Use when you need to verify webhook signatures from fal.
  • Get Model PricingTool to retrieve unit pricing for model endpoints. Returns pricing information including unit price, billing unit, and currency. Use when you need to check costs for specific fal.a
  • Get ModelsTool to discover and search fal.ai model endpoints. Use when you need to list all models, find specific models by ID, or search by category/query. Supports pagination and optional
  • Get Queue Request ResultTool to retrieve the final result of a completed queue request. Use when you need to get the output of a model request that was submitted to the queue and has finished processing.
  • Get Queue Request Status With LogsTool to retrieve the current status of a queued request with detailed logging information. Use when you need to monitor a queued request's progress and access execution logs for de
  • Stream Request Status UpdatesTool to stream request status updates via SSE. Use when you need real-time updates on a queued request's processing state.
Access, and who is in charge of it

You stay the boss of your Fal.ai account.

Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.

How we handle your data
  • It signs in to your own Fal.ai account. You are not moving anything into ours.
  • You grant access one app at a time, and you can take it back the same way.
  • Everything it does in Fal.ai is written down, with what it did and when.
  • Anything you tell it to check with you first, it checks with you first.
Other apps in the same corner of the business

It works in Fal.ai and the rest of your software in the same job

A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.

See every app

Questions people ask about Fal.ai

Can an AI employee really work inside Fal.ai?
Yes. It signs in to your own Fal.ai account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
Do I have to move anything out of Fal.ai?
No. Nothing moves and nothing is replaced. Your records stay in Fal.ai, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
How does it get into my Fal.ai account?
You paste in a key from your own Fal.ai account. It is kept encrypted, and you can withdraw it from inside Fal.ai whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
What can it actually do in Fal.ai?
It has 9 ready-made tools in Fal.ai today, among them Cancel Queue Request, Check Queue Request Status and Estimate Pricing. The full list is on this page. It is not limited to those, but it never has to be taught them.
Can it use Fal.ai and the rest of my software in the same job?
Yes, and that is usually the point. Reading a message in one app, checking a record in Fal.ai and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
Who decides what it is allowed to do in Fal.ai?
You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in Fal.ai is written down with what it did and when.