Building a Lead Qualification Chat Agent with OpenAI
Build a production lead qualification chat agent using OpenAI's Agents SDK with BANT scoring, structured outputs, CRM integration tools, and intelligent conversation routing.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Build a production lead qualification chat agent using OpenAI's Agents SDK with BANT scoring, structured outputs, CRM integration tools, and intelligent conversation routing.
Build a HIPAA-conscious voice agent for medical appointment scheduling with patient verification, EHR integration, and healthcare-specific conversation flows.
Hands-on tutorial: build a multi-agent system in Python with agent base classes, message passing, tool integration, and handoffs. Complete code examples.
Learn how to build production-grade chat agents using the OpenAI Agents SDK with tool integration, session management, streaming responses, and FastAPI backend architecture.
Build a complete voice-powered customer support agent with triage, billing, refund, and FAQ handling using OpenAI Realtime API, tool integration, and session persistence.
Learn how the OpenAI Agents SDK automatically traces every agent run with agent_span, generation_span, and function_span, and how to visualize traces in the OpenAI dashboard for debugging.
Dramatically reduce agent startup latency by caching MCP tool definitions with cache_tools_list, implementing cache invalidation strategies, and benchmarking the performance gains in production agents.
Build evaluation pipelines for chat agents to measure response quality, A/B test different prompts, compare model performance, and systematically improve agent behavior over time.
Build a comprehensive analytics pipeline for chat agents using OpenAI's tracing system to extract intent, sentiment, topics, and performance metrics from every conversation.