Agentic Canvas
Design autonomous workflows that reason about data, make decisions, and execute across your entire stack. No code required.
Not workflows. Agents.
Traditional automation follows rigid rules. Agents use AI to perceive, reason, and act—handling complexity that breaks simple workflows.
Watch an agent research a company in real-time
How it works
Start with a trigger—webhooks, schedules, or events. Add perception to gather data from APIs and websites. Insert an AI reasoning step that analyzes context and decides what to do. Define actions across your integrations. Deploy with one click and monitor every decision in real-time.
Simple pricing
7-day free trial. No credit card required.
- 500 runs/month
- All integrations
- Use your own API keys
- 1,000 credits/month
- Unlimited runs
- All frontier models
Frequently asked questions
What's the difference between an agent and a workflow?
Workflows are linear: step A leads to step B. Agents reason dynamically—they decide what to do based on context, can loop back, try different approaches, and handle edge cases.
Which AI models can I use?
We support all major providers: OpenAI, Anthropic, Google, Mistral, Grok, and more. Switch models without changing your workflow.
How do I control what an agent can do?
Define guardrails and available tools. Require human approval for sensitive operations. Set token budgets and execution limits. Monitor every decision in real-time logs.
What happens if an agent makes a mistake?
Human-in-the-loop mode pauses execution for approval on critical actions. Full execution history lets you replay and debug. Rollback to previous states when needed.