Building real-time AI agents with OpenAI and n8n
Building real-time AI agents with OpenAI and n8n
AI & Automation • technical guide
Table of Contents
AI agent fundamentals
Modern AI agents combine language models with tool integration for autonomous task execution across enterprise databases, CRMs, and external API gateways.Need a custom quantitative solution?
We scope, backtest, and build institutional-grade software systems designed specifically around your proprietary strategy rules under a strict NDA.
BOOK A FREE STRATEGY CALL→Architecture setup
Components needed
- OpenAI API access (GPT-4o / Function Calling) - n8n workflow platform (Self-hosted or Cloud) - Tool/action definitions (Zod schemas) - Real-time logging & error telemetryBuilding your first agent
Step 1: Define tools
- Database queries & PostgreSQL connections - External REST API hooks - Email generation and lead notification - Google Calendar schedulingStep 2: Create workflows
- Webhook trigger endpoints - LLM tool selection & function calling - Response formatting - Fallback error handlingProduction best practices
Always include human approval loops for financial transactions or destructive updates, and maintain audit logs for compliance.About the PSI Square Team
We are a team of quantitative developers, AI system architects, and full-stack software engineers specializing in execution latency optimization, autonomous systems orchestration, and custom broker integrations.
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