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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Step-by-step tutorial to build a production-ready customer support AI agent using Python FastAPI, OpenAI Agents SDK, and Twilio Voice with five integrated tools.
Explore how development tools are becoming fully agentic with Claude Code CLI, Codex, Cursor, and Windsurf shifting from autocomplete to autonomous multi-step coding workflows.
Master advanced RAG patterns for AI agents including hybrid vector-keyword search, cross-encoder re-ranking, and agentic retrieval where agents autonomously decide retrieval strategy.
Learn how to build AI agents that chain multiple tools together sequentially, passing intermediate results through dependency graphs while handling errors gracefully across the entire pipeline.
Explore the leading web agent benchmarks including WebArena, MiniWoB++, and Mind2Web. Learn how evaluation methodology, success metrics, and reproducible environments drive progress in autonomous browser agents.
Build an AI agent that applies the scientific method to data analysis — generating hypotheses, designing experiments, performing statistical tests, drawing conclusions, and iterating on findings with rigorous methodology.
Learn how to scale AI agent workloads across multiple servers using message queues, state synchronization, and fault tolerance patterns. Covers distributed architecture with Redis, task routing, and agent recovery in Python.
Learn how to capture full-page screenshots, element-level screenshots, and record browser session videos with Playwright, then feed them to GPT-4 Vision for automated visual analysis.
