Miniloop

Miniloop is an AI workflow platform designed for building production-ready orchestrated pipelines. It enables 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. The platform combines AI generation with deterministic logic in production pipelines.

• Explicit Orchestration allows you to define steps with explicit input/output contracts, ensuring predictable execution every time with no guessing about what runs when or what data exists.

• Structured Outputs support JSON, CSV, markdown, and HTTP formats with automatic validation, enabling workflows to produce consistent, usable results.

• Full Observability provides complete execution history with versioning and replay capabilities, making debugging straightforward by showing exactly what each step received and produced.

• Safe Re-runs ensure workflows can be executed repeatedly without unexpected side effects, with built-in validation, retries, and failure handling.

• Context Control prevents context drift by maintaining explicit state management rather than burying logic inside conversation context.

• API Actions enable custom API calls, data transformations, validation, and exports within workflows that run on schedule, via API, or through chat.

• Reusable Workflows let you compose sophisticated automations from small, reliable steps, allowing changes to one piece without breaking everything else.

• Template Library offers pre-built workflows for common use cases including lead enrichment, email outreach, data sync, SEO research, and content generation.

To get started, sign up for a free account and explore the template library for common automation patterns. Build workflows by defining explicit steps with named inputs and outputs, then run them on schedule or trigger via API. The platform integrates with popular tools like Apollo, HubSpot, Gmail, Airtable, Slack, Notion, Ahrefs, Semrush, and Google Sheets.