Make AI agents in Make.com: structured prompting, tools, and multi-agent workflows
Make AI agents let your automation workflows decide which tools to use—no hard-coded branching. Learn structured prompting, guardrails, and multi-agent patterns.
Make AI agents let your automation workflows decide which tools to use—no hard-coded branching. Learn structured prompting, guardrails, and multi-agent patterns.
Learn how to build a Notion CRM for wedding fairs and event businesses — 4 linked databases, auto-generated task checklists, and follow-up tracking.
Automate FileLogix data sync via REST API. Use the Deal List and Deal Data endpoints to pull incremental changes and map fields to your destination system.
Learn how to automate Full Enrich to Pipedrive contact enrichment using Zapier, Make, or n8n. Get the field map, safeguards, and step-by-step workflow.
Build a Notion legal dashboard with a single Agreements database, signature tracker, hot tasks view, and 30/90-day metrics for small legal teams.
How to forward Gmail attachments into Make for AI document processing. Covers mailhook setup, Gmail filters, confidential mode, and polling tradeoffs.
Accounts receivable collections automation can start in Zapier, but scale needs audit trails, retries, and multi-tenant auth. Use Zapier for edges and code for core.
Zapier's Procore triggers lock you to one project. Here's how to build a custom Zapier trigger against the Procore API so Slack alerts work across all projects.
Quote-to-cash process automation across Salesforce, Jira, and NetSuite. Use event triggers and minimal data contracts to eliminate manual Jira ticket creation.
Learn zapier solution partner program (benefits + requirements), and how to decide between a public Zapier integration, a private app, or a partner-built connector.
Learn how to automate product categorization at scale in your Wix store using Zapier and a mapping table. Covers taxonomy, rules, AI classification, and QA.
How to normalize upstream status labels so your customer service phone bot gives clear, consistent scheduling updates instead of confusing internal labels.