Zapier AI is not enough for the agent logic we need

Got it — if Zapier AI is falling short on agent logic, that usually means you need more control over:

• branching and state
• tool selection
• memory/context handling
• retries and fallbacks
• multi-step reasoning
• human-in-the-loop approvals
• custom APIs / business rules

A few better options depend on what you’re building:

If you want more control but still low-code

• Make.com — more flexible than Zapier for complex workflows
• n8n — best if you want self-hosting and custom logic
• Pipedream — great for code + workflows

If you need real agent behavior

• OpenAI Responses API / Assistants-style orchestration
• LangGraph — strong for stateful agent workflows
• CrewAI — good for multi-agent task orchestration
• AutoGen — useful for agent-to-agent collaboration

If you want production-grade custom logic

• Build a small orchestration service in:
  • Python + FastAPI
  • Node.js/TypeScript
• Then connect it to Zapier only for lightweight triggers, not the core logic

Common pattern

Use Zapier for:

• webhooks
• app triggers
• notifications
• simple task routing

Use your own agent layer for:

• deciding what to do
• calling tools
• managing conversation/state
• handling exceptions and memory

If you want, I can help you choose the right replacement based on:

1. your use case
2. your tech stack
3. how much code you want to write.