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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Learn how to build an AI agent for medical image analysis that preprocesses X-rays and scans, detects findings, generates structured reports, and includes appropriate clinical disclaimers for responsible deployment.
Build a vision AI pipeline that scans receipts and invoices, extracts vendor names, dates, line items, and totals, categorizes expenses, and integrates with accounting systems for fully automated expense processing.
Build an AI agent that analyzes architectural floor plans to detect rooms, classify their types, estimate areas, identify furniture, and generate natural language descriptions for real estate and interior design applications.
Reduce GPT Vision API costs by 60-80% through image resizing, compression, region cropping, intelligent caching, and token-aware strategies. Essential techniques for production vision-based browser automation.
Master the architecture of streaming AI agents that deliver token-by-token output while interleaving tool calls, using Server-Sent Events and progressive rendering to create responsive user experiences.
Learn how to build AI agents that maintain a consistent personality, remember past interactions, consolidate memories over time, and build long-term relationships with users across multiple sessions.
Build an AI agent that reads documents, extracts named entities and their relationships, constructs a knowledge graph stored in Neo4j, and provides a natural language query interface over the graph.
Implement visual regression testing using GPT Vision to detect UI changes, classify their severity, and generate human-readable reports. Move beyond pixel-diff tools to semantic understanding of visual changes.
