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Zapier Central

AI Assistants

Teach AI bots to work across your favorite apps. The first AI workspace that combines reasoning with 6,000+ integrations.

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About This Tool

Zapier Central is an experimental AI workspace where you build **autonomous assistants**. Unlike standard chatbots, Central bots can actually *do* things. You teach them behaviors, give them access to live data (like spreadsheets), and let them execute actions across Zapier’s massive ecosystem.

How to Use

  1. 1. Create a new “Assistant” in Central
  2. 2. Connect a Data Source (e.g., Google Docs, Notion)
  3. 3. Define “Behaviors” using natural language instructions
  4. 4. Add “Actions” (e.g., Send Slack DM, Update CRM)
  5. 5. Chat with the bot to trigger the workflow

Key Features

🔗 6000+ Apps
🧠 Logic & Reasoning
📂 Live Data Sync

Related Tools

🤖

OpenAI

Underlying Model

🟣

Make

Visual Automation

Additional Information

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Use Cases

Central is ideal for tasks requiring judgment. Examples include: analyzing incoming leads in HubSpot and drafting personalized emails, summarizing Google Sheets data and slacking the report to the team, or triage for customer support tickets in Zendesk.

Behaviors vs. Zaps

Traditional Zaps are linear (If X happens, do Y). Zapier Central is dynamic. You give the bot a goal (e.g., “Find interesting leads”), and the AI decides *which* leads are interesting and *what* action to take based on your instructions.

Data Sources

Central Bots can “read.” You can upload Google Docs, PDFs, Spreadsheets, or Notion pages. The bot references this knowledge base before answering questions or performing actions, reducing hallucinations.

Instant Actions

With the Chrome extension, you can invoke your Central assistants on any webpage. For example, you can highlight text on a website and ask your Central bot to “Add this company to my CRM and find their CEO on LinkedIn.”

Future Roadmap

Currently in public beta, Zapier Central is adding support for more LLM models (beyond GPT-4), deeper “Human-in-the-loop” approval settings, and more complex multi-step reasoning capabilities.