Use AI with Your AppDrag Backend Functions

Tell AI which function to call and supply its documented inputs. It can explain returned records or errors in the context of your application.

What to Ask Leina to Do with AppDrag

Copy a prompt, add your details, and send it to Leina in your connected team chat.

Use an existing function and its documented inputs, then organize the response into a summary.

Call AppDrag function [folder]/[function name] in [environment] using its documented method [method] and parameters [parameters]. Its purpose is [purpose]. Summarize the response and flag errors.

Get Started with AppDrag

  1. Connect Your Account

    Connect with your AppDrag project API key.

  2. Try a Task

    Tell Leina what you need in your team chat. Include the source, destination, and expected result.

    Set Up Leina in Your Chat →
  3. Check the Result

    Review the result and any changes in the connected app.

Supported AppDrag Capabilities

AppDrag Cloud Backend functions expose application-specific behavior. This connection invokes an existing function; the function’s own contract determines its data and effects.

Call Existing Functions

Execute a configured Cloud Backend function with optional parameters and return the response.

View All 1 Actions
  • Execute Function

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Frequently Asked Questions

What function information should I provide?

Provide the folder, function name, configured method, environment if applicable, and required parameters. Explain the function’s purpose so the assistant can interpret its response.

Can AI summarize a custom function’s data?

Yes. Provide the expected response meaning and ask it to summarize the actual returned data, without inventing fields.

Is calling a function always read-only?

No. The effect depends on your function. Use a documented read function for analysis and explicitly authorize functions that modify data.

Your AI employee for AppDrag

Tell Leina what you need in your team chat. Include the source, destination, and expected result.