Use ControlFlow's task-based workflow orchestration to build reliable, multi-step email processing pipelines with MultiMail's delivery infrastructure and human oversight.
ControlFlow is a workflow orchestration framework by Prefect that treats AI tasks as first-class workflow steps. It combines Prefect's workflow reliability with LLM-powered task execution and structured outputs. MultiMail provides the email infrastructure that ControlFlow workflows need to send, receive, and manage messages as part of larger business processes.
By integrating MultiMail with ControlFlow, you can model email tasks as explicit workflow steps with dependencies, structured results, and error handling. Email approval in MultiMail's gated_send mode becomes a workflow dependency that must resolve before downstream tasks proceed — making approval a first-class workflow primitive.
Connect ControlFlow to MultiMail by defining tasks that call the REST API. ControlFlow's dependency system ensures email operations execute in the correct order with proper error handling and retry logic.
ControlFlow's task dependency system can model email approval as an explicit step. MultiMail's pending queue becomes a dependency that must resolve before the workflow continues, making oversight a natural part of the flow.
ControlFlow tasks produce typed, structured results. Define result types for email operations — classification outcomes, delivery confirmations, thread summaries — and pass them between workflow steps with type safety.
Built on Prefect's workflow engine, ControlFlow provides retry logic, error handling, and observability for email workflows. Failed API calls retry automatically, and you can monitor workflow health through Prefect's dashboard.
Chain email tasks with dependencies: classify inbound mail, route to appropriate handlers, compose responses, approve, and send. ControlFlow ensures each step executes only when its dependencies are satisfied.
Assign different email tasks to specialized ControlFlow agents. A classification agent triages, a composition agent drafts, and a review agent validates — all coordinated through the workflow engine.
No code, no dashboard. Paste this to your AI agent — it connects MultiMail, creates an inbox, and builds the flow for you.
Sign up at multimail.dev, create a mailbox, and generate an API key. Your key will start with mm_live_.
Install ControlFlow and requests for calling the MultiMail API.
Create Python functions that wrap MultiMail API endpoints for fetching inbox, sending email, and replying to threads.
Define a ControlFlow @flow with tasks that have explicit dependencies. Assign agents and tools to each task.
Execute the flow. Monitor execution in Prefect's dashboard and review pending emails in MultiMail's dashboard.
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