Miniloop is an AI workflow platform designed specifically for building production-ready AI pipelines and automations. It enables users to orchestrate AI workflows they can trust by combining AI generation with deterministic logic in production pipelines. The platform allows users to define workflow logic once and run it reliably with any input, ensuring consistent behavior, safe re-runs, and predictable outputs without prompt tweaking or manual fixes.

Key features include explicit input/output contracts for every step, automatic validation and deterministic behavior, and the ability to run workflows on schedule, via API, or through chat. The platform provides full observability with every pipeline run being logged, versioned, and replayable. It includes built-in validation, retries, and failure handling to ensure automations work consistently at scale. Users can orchestrate custom API calls, data transformations, validation, and exports in workflows.

The platform works by allowing users to build complex workflows from simple parts, composing sophisticated automations from small, reliable steps. Steps run in a defined order with explicit inputs and outputs, providing predictable execution every time. The system executes user-specified logic at each step rather than relying on the model's interpretation, giving users control over AI behavior by design.

Benefits include the ability to debug with full visibility, seeing exactly what each step received and produced. When something fails, users know where and why. Workflows are self-documenting with explicit steps and named outputs that make them understandable at a glance. Users can change one piece without breaking everything else, maintaining workflow integrity.

The platform targets founders and engineers who want to iterate faster by skipping glue code, manual wiring, and brittle workflows. It integrates with various tools including Apollo, HubSpot, Gmail, Airtable, Slack, Google Calendar, Notion, Ahrefs, Linear, OpenAI, Semrush, X/Twitter, Google Sheets, and Google Docs. The system supports structured outputs including JSON, CSV, markdown, and HTTP formats.