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 a multi-agent debate system where pro and con agents construct opposing arguments while a judge agent evaluates quality, driving convergence toward more accurate and nuanced answers.
Learn how to build persistent memory for web agents covering cookie and session management, navigation history tracking, preference learning, and context reuse across browsing sessions.
Learn to build an AI agent for social media automation covering platform API integration versus browser automation, content scheduling, engagement monitoring, and rate limiting strategies.
Construct a multi-agent research system with four specialized agents — Scientist, Librarian, Analyst, and Writer — that collaborate on source discovery, analysis, and paper generation with complete Python code.
Build an AI agent that reads source documents using OCR and vision models, maps extracted data to web form fields, fills forms automatically, and validates entries with intelligent error correction.
Learn how to build an AI-enhanced RPA bot that goes beyond traditional rule-based automation. Covers decision-making, exception handling, legacy system integration, and patterns for robust desktop and web automation.
Build a production-grade price monitoring agent that scrapes multiple e-commerce sites, extracts prices with AI, detects changes, sends alerts, and maintains a historical price database for trend analysis.
Learn to automate desktop applications using PyAutoGUI combined with AI vision models. Covers screen recognition, coordinate mapping, multi-monitor setups, keyboard automation, and building robust desktop agents.
