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 that helps customers check loyalty points balances, browse reward catalogs, redeem rewards, and understand how to earn points faster — increasing program engagement and customer retention.
Build an AI agent that conducts structured exit interviews, collects candid departure feedback, analyzes trends across departures, and generates retention insights to help organizations reduce unwanted turnover.
Build an AI agent that delivers personalized post-operative care instructions, monitors patient recovery through symptom check-ins, triggers clinical alerts when needed, and schedules follow-up appointments automatically.
Learn how AI agent operating systems orchestrate, schedule, and manage large fleets of digital workers. Understand the OS-level abstractions — process management, resource allocation, and inter-agent communication — that make scalable agent deployment possible.
Build a memory consolidation pipeline that compresses detailed agent memories into summaries, preserving essential information while reducing storage and improving retrieval quality.
Implement a natural language report builder that lets SaaS users ask questions in plain English and get back charts, tables, and exportable reports from their product data.
Build an AI agent that tracks feature usage, identifies underutilized capabilities for each user, and delivers contextual tips to drive adoption and reduce churn risk.
Implement plan-based feature gating for AI agent tools and capabilities. Learn to build dynamic tool lists, enforce tier restrictions, and surface upgrade prompts when users hit limits.
