The AI automation platform for work that needs judgment.
Zapier, Make, and n8n move data along fixed paths. AstraGenie's agents reason, decide, and adapt — so your automations keep working when the inputs do not match yesterday's template.
Two very different automation models.
Rule-based tools
Trigger fires, fields map, branches execute. Fast and cheap when inputs are predictable. Brittle the moment inputs are not.
AI agents
An agent reads the input, understands intent, decides the next action, calls the right tool, and recovers from failures. The flow does not break when inputs vary.
Together
Use rules for the deterministic 80% and agents for the messy 20% that used to fall back to humans. AstraGenie covers the messy 20%.
The workflows that break Zapier.
Unstructured input
Free-form support emails, sales replies, social DMs. Rule engines cannot parse intent reliably.
Multi-step reasoning
Tasks that need a plan: research, summarize, decide, act. Linear flows cannot handle that branching.
Exception handling
Real ops have edge cases. Agents reroute or escalate; flows error out and stop.
Cross-system context
Pull from CRM, billing, helpdesk, and a doc to make a decision. Agents hold context across tools.
Brand-sensitive output
Drafting copy, replies, summaries that match a tone. Templates do not generalize; agents do.
Continuous improvement
Agents learn from feedback and outcomes. Rule flows stay frozen until someone edits them.
Six departments, already automated.
Pre-built agent teams cover the recurring work in marketing, sales, content, social, ops, and engineering. See the full use cases →
See an agent run your messiest workflow.
Bring the workflow that keeps falling back to humans. We'll show you an agent handle it live.