Describe a workflow in English. Lutra builds it, runs it on a schedule, and handles the integrations.
Zapier and Make require you to know which trigger and which action and which field mapping. Lutra flips that: you describe the outcome in plain English ("Every morning at 9am, summarize yesterday's Slack #sales channel, pull the latest deals from HubSpot, and email a digest to the exec team"). Lutra's AI agent parses the intent, picks the right apps from its integration catalog, builds the workflow, and schedules it. You can edit any step afterward if it got something wrong.
Who it's for: Ops managers, founders, and RevOps folks who know what they want automated but don't want to learn a visual workflow builder. Strong fit for sales/marketing/CS use cases where LLM-grade summarization is part of the workflow itself.
Type the workflow in plain English. Lutra builds the integration graph itself โ no node-dragging, no field-mapping UI. Edit any step in plain English afterward.
Cron-style scheduling built in: hourly, daily, weekly, or event-driven from webhook triggers. Time-zone aware. No need for a separate scheduler.
Summarization, classification, extraction, and translation are first-class step types โ not a hacky "send to ChatGPT" integration. Output flows into the next step.
50+ integrations including Slack, Gmail, HubSpot, Notion, Airtable, Google Sheets, GitHub, Linear, and Jira. Adding more monthly.
Lutra is the right tool when the workflow you want has an LLM in the middle of it. For pure "trigger โ action" plumbing, Zapier still wins on integration depth. For "summarize this, classify that, decide who to email" โ Lutra is faster to ship and cheaper to run.
Visual workflow builder. More integrations, more control, more setup time.
The incumbent. 7,000+ integrations, but no native LLM step pattern.
Open-source, self-hostable workflow automation. Free if you host it.
Browser-native AI automation. Best for scraping and repetitive web tasks.