Automate with Dynamic Functions

Run your own logic inside PortableMind — small JavaScript functions that read and write your data, call external APIs, run on a schedule, or fire when a record changes. No service to deploy.

What you'll use

Dynamic Functions: sandboxed JavaScript stored in the platform, executed as a background job. Trigger them manually, on a cron schedule, from an MCP tool, or as a model lifecycle callback.

Steps

1. Go to AI Studio → Build → Dynamic Functions and create one. Write JavaScript in the editor; you get a context with params, tenant_id, the current user, and an execute_action(model, action, params) helper to read/write tenant data.
2. Pick a trigger:
   • Manual / API — call it on demand:

     POST /api/v1/dynamic_functions/:id/execute   { params, async: true }
     

   • Schedule — give it a cron like 0 9 * * 1 (9am Mondays).
   • Callback — run it when a record changes, e.g. callback_model: 'Project', callback_event: 'create'.
3. Reach external services securely by attaching an OAuth/secret Configuration — sensitive values are encrypted at rest, never inlined in code.
4. Audit every run. Each execution is logged (result, error, duration) under dynamic_function_executions so you can see exactly what happened.

Result

A lightweight automation layer that lives next to your data: a weekly rollup that posts to a conversation, a sync that fires whenever a project is created, an enrichment step an agent can call as a tool. It's serverless from your side — write the function, pick the trigger, done.

Your agents can run your function too — via the execute endpoint or the dynamic-function tools — so your custom logic becomes part of what they can do.