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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Technical guide to building AI agents that automate document processing — PDF parsing and extraction, email classification and routing, and spreadsheet analysis with reporting.
AutoGen deep dive covering conversable agents, group chat patterns, code execution sandboxing, human proxy agents, and custom agent types for production multi-agent systems.
Build real estate AI agents with multi-agent property search, suburb intelligence, mortgage and investment calculators, and automated viewing scheduling for PropTech platforms.
How to build AI agents that catch and fix their own errors through output validation, reflection prompting, retry with feedback, and graceful escalation when self-correction fails.
Build production monitoring dashboards for AI agents tracking response latency, tool call success rates, token usage, cost per interaction, and SLA compliance.
Gartner warns 40% of agentic AI projects will fail by 2027. Learn the governance frameworks, cost controls, and risk management needed to avoid the most common failure modes.
How autonomous coding agents work in 2026 comparing Claude Code CLI, OpenAI Codex, and Cursor IDE with architecture details, capabilities, pricing, and real usage patterns.
Build a powerful AI coding assistant that reads files, runs tests, and fixes bugs using the Claude API and Model Context Protocol servers in TypeScript.
