Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Build an AI agent for landscaping companies that generates accurate quotes from service catalogs, manages seasonal scheduling patterns, creates recurring maintenance plans, and integrates weather data.
Build an AI agent for roofing companies that assists with damage assessment from photos, generates insurance claim documentation, manages insurance workflows, and schedules repair crews.
Learn how to build an AI agent that coordinates subcontractors across trades, manages construction schedules, tracks budgets against estimates, and handles change orders for general contractors.
Build an AI agent for pest control companies that identifies pest types, creates targeted treatment plans, schedules inspections, and manages recurring service agreements with automated follow-up.
Build an AI agent for pool service companies that optimizes service routes, calculates chemical dosages, diagnoses equipment issues, and manages seasonal opening and closing schedules.
Build an AI agent for moving companies that generates accurate quotes from room-by-room inventories, estimates cubic footage, assigns crews, and provides real-time customer updates on move day.
Explore constrained decoding techniques that guarantee LLM outputs conform to formal grammars, regex patterns, or JSON schemas — eliminating format errors in agentic pipelines.
Learn how to architect agents that maintain reasoning chains across multiple LLM invocations, accumulate state progressively, and refine their analysis through iterative thinking.
