Stop getting "Prompt too long" errors in n8n 🛑
One of the most common frustrations when building complex AI agents in n8n is hitting that 'Prompt too long' error or seeing the model lose track of instructions as the workflow grows. The secret to scaling isn't a bigger model—it's **MODULARIZATION**. Instead of building one massive workflow that tries to do everything (and stuffs the entire context into one prompt), I've been using a 'Multi-Agent Factory' approach: 1. **The Orchestrator:** A main workflow that decides which task needs to be done. 2. **The Workers:** Separate workflows for specific tasks (e.g., Data Extraction, Analysis, Formatting) called via the 'Execute Workflow' node. 3. **The Memory:** Using a centralized database or Notion CRM to store intermediate states so each sub-workflow only gets the context it actually needs. This keeps your prompts clean, your executions fast, and your debugging way easier. How are you guys handling context limits in your production builds? Are you using vector DBs or just aggressive chunking? Let's discuss! 👇