In this categoryAutomation ยท 38
- How to Self-Host n8n with Docker for AI WorkflowsStart
- How to Extract Structured Data from PDFs with n8n
- How to Add OpenAI Credentials to n8n
- How to Connect Anthropic Claude as the Model in n8n Workflows
- How to Build an AI Messaging / Chatbot Automation (No Code)
- How to Build an AI Agent with Tools in n8n
- How to Build an n8n Workflow That Summarizes New Emails with AI
- How to Build a RAG Chatbot Over Your Docs in n8n
- How to Auto-Classify and Route Support Tickets with AI in n8n
- How to Schedule Daily AI Content Generation in n8n
- How to Extract Structured Data from PDFs with AI in n8n
- How to Add Error Handling and Retries to n8n AI Workflows
- How to Transcribe and Summarize Audio with AI in n8n
- How to Summarize Incoming Emails with AI in Make.com
- How to Auto-Classify Support Tickets with AI in Make.com
- How to Turn RSS Headlines into AI Blog Drafts in Make.com
- How to Build an AI Telegram Chatbot in Make.com
- How to Answer Questions from Your Docs with AI in Make.com
- How to Auto-Transcribe Audio Files with Whisper in Make.com
- How to Extract Invoice Data from PDFs with AI Vision in Make.com
- How to Generate Images from a Spreadsheet with AI in Make.com
- How to Run AI Sentiment Analysis on New Reviews in Make.com
- How to Auto-Translate Content into Multiple Languages in Make.com
- How to Handle AI Errors and Rate Limits in Make.com Scenarios
- How to Build Your First Zap with an AI Step
- How to Use Your Own OpenAI API Key in Zapier
- How to Auto-Summarize Form Submissions and Post Them to Slack
- How to Auto-Generate Social Media Captions From New Blog Posts
- How to Extract Structured Data From Emails Using a Zapier AI Step
- How to Call the Claude API From Zapier Using Webhooks
- How to Build a Simple AI Chatbot with Zapier Interfaces and Tables
- How to Build a Multi-Step AI Research Agent in Zapier
- How to Auto-Categorize and Route Support Tickets with AI and Paths
- How to Cut AI Task Usage in Zapier With Filters and Formatter
- How to Debug AI Steps in Zapier Using Zap History
How to Cut AI Task Usage in Zapier With Filters and Formatter
Stop wasting AI credits by filtering out items that do not need a model and trimming text before it hits the prompt.
AI steps are the most expensive part of many Zaps, both in Zapier tasks and in model tokens. The fix is to run the model only when it is truly needed and to feed it less text. This short guide shows the two cheapest, highest-impact changes you can make.
What you need
- An existing Zap that already uses an AI step
- A Zapier plan (Filter and Formatter are widely available)
- About 8 minutes
Step 1: Add a Filter before the AI step
Insert a Filter by Zapier step between your trigger and the AI action. Set conditions so the Zap only continues for items worth analyzing. If the filter does not pass, the Zap stops and the costly AI step never runs.
Step 2: Trim text with Formatter
Add a Formatter by Zapier step before the AI action. Use Text, then Truncate to cap the input length, or Replace to strip out quoted reply chains and signatures. Fewer tokens in means lower cost and often a sharper answer.
Text > Truncate
Input: {{Body Plain}}
Max length: 1500
Append: "..." (optional)
Text > Replace (strip signature)
Find: "\nSent from my iPhone"
Replace with: ""Step 3: Cap the output too
In the AI step, set max tokens to the smallest value that still gives a complete answer. For a one-line classification, 30 tokens is plenty. Shorter responses cost less and run faster.
Result: The AI step only runs on items that matter, sees trimmed input, and returns short output, often cutting AI cost by more than half with no loss in quality.
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