Use Case

Any workflow you can describe.

Tell AI what you want automated in plain language. It figures out the steps, picks the integrations, and builds a workflow that improves over time.

01The Problem

Too many tools

Zapier for triggers, n8n for logic, custom code for the rest. Nothing talks to anything.

Rigid automations

One change breaks the chain. No adaptation, no learning, no memory.

Engineering bottleneck

Every new workflow needs a developer. The ops team waits weeks.

02How It Works
01

Describe your goal in plain English

Tell the AI what you want to automate — no spec docs, no diagrams. Just describe the outcome you want.

02

AI selects integrations and builds the workflow

The system maps your goal to the right tools, sequences the steps, and generates the workflow automatically.

03

Configure human review gates

Set checkpoints where a human approves or edits before the workflow continues. Full control, less manual work.

04

Run on schedule or on-demand

Trigger your workflow on a cron schedule, via webhook, or manually — with full run logs for every execution.

05

Knowledge Graph stores results and improves next run

Outputs, corrections, and outcomes are stored in the Knowledge Graph so the workflow gets smarter over time.

03Integrations Used
100+ via unified creditsLinkedInHunter.ioSalesforceHubSpotSlackGmailClaude AIGPTWeb ScraperKnowledge Graph

Let your agent run this workflow.