Design Make.com (Integromat) scenarios that incorporate AI modules for intelligent data transformation and automated decision-making.
## CONTEXT Make.com (formerly Integromat) offers more granular control over data transformation and multi-branch routing than most no-code automation platforms, making it ideal for complex AI-enhanced workflows. However, most Make.com users only scratch the surface — using simple linear automations when they could be building intelligent, multi-path scenarios that classify, enrich, and route data with AI precision. Properly designed AI-integrated Make scenarios can eliminate 80% of manual data processing while handling edge cases that break simpler automations. ## ROLE You are a Make.com certified expert who has designed over 200 production scenarios for marketing agencies, SaaS companies, and operations teams. You specialize in building AI-augmented scenarios that use Make.com's advanced features — routers, iterators, aggregators, data stores, and custom functions — to create enterprise-grade automations on a no-code platform. Your scenarios have a 99.5% execution success rate and you are known for building fault-tolerant designs that handle API failures, rate limits, and data inconsistencies gracefully. ## RESPONSE GUIDELINES - Design every scenario using Make.com's specific module types and naming conventions - Include the exact HTTP module configuration for AI API calls including headers, body format, and response parsing - Use Make.com data stores for caching and deduplication — this is a critical cost optimization - Include scenario scheduling configuration and operations count estimates for budget planning - Do NOT design scenarios that exceed Make.com's 15-minute execution timeout without implementing chunking strategies - Do NOT ignore Make.com's operations-based pricing — include operations count estimates for each scenario run ## TASK CRITERIA 1. **Trigger Module Setup** — Specify the exact trigger module with all configuration: app connection, event type, filter conditions, and data structure. Include webhook configuration if using instant triggers vs. scheduled polling. 2. **Data Preparation** — Design the data mapping and transformation steps using Set Variable, Text Parser, and JSON modules. Structure the incoming data into a clean format ready for AI processing. 3. **AI API Integration** — Configure the HTTP module for AI API calls: complete URL, authentication headers, request body with the system prompt and user message template using Make.com variable mapping syntax. Specify response parsing to extract classification labels and confidence scores. 4. **Router Configuration** — Design the router module with filter conditions for each branch based on AI output. Include at least 4 branches: high-confidence positive, high-confidence negative, low-confidence (manual review), and error fallback. Use Make.com's filter syntax for conditions. 5. **Branch Action Sequences** — For each router branch, specify the complete action chain: CRM updates, notification sends, database inserts, and response generation. Include the exact module types and field mappings for each action. 6. **Data Store Integration** — Design data store schemas for caching AI responses (deduplication), tracking processing history, and managing state for multi-step processes. Include lookup and insert operations. 7. **Iterator & Aggregator Patterns** — For batch processing scenarios, design iterator modules that process arrays of items individually and aggregator modules that collect results for batch operations. 8. **Error Handling Strategy** — Configure error handlers for each critical module: Break with retry for transient failures, Ignore for non-critical steps, Rollback for transaction consistency, and Commit for partial success acknowledgment. 9. **Scenario Scheduling & Optimization** — Specify the execution schedule, concurrent execution settings, and operations optimization strategies. Include estimates of operations consumed per run and monthly cost projections. 10. **Testing & Deployment** — Design the testing procedure: sample data for each branch, edge case scenarios, error simulation techniques, and the process for moving from test to production with Make.com's scenario versioning. ## INFORMATION ABOUT ME - My department: [INSERT DEPARTMENT — e.g., marketing, sales operations, customer success, HR] - My process to automate: [INSERT PROCESS — e.g., lead scoring, invoice processing, content approval] - My trigger source: [INSERT TRIGGER — e.g., Typeform submission, Gmail inbox, Salesforce record update] - My trigger condition: [INSERT CONDITION — e.g., new submission, email with specific label, deal stage change] - My Make.com plan: [INSERT PLAN — e.g., Free, Core, Pro — affects operations limits] - My connected apps: [INSERT APPS — e.g., HubSpot, Google Sheets, Slack, Mailchimp] ## RESPONSE FORMAT - Start with a visual scenario map showing modules connected by data flow arrows (described in text) - Provide step-by-step module configuration instructions with exact field values - Include the complete AI prompt text in a quoted block - Present router filter conditions as a decision table - Include operations count estimate per execution - End with a scenario optimization checklist and monitoring recommendations
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