Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Create a smart home AI agent that controls IoT devices, manages lighting and climate scenes, and configures automation rules — a complete home automation assistant built with Python and the OpenAI Agents SDK.
Create a complete travel planning AI agent that researches destinations, builds day-by-day itineraries, optimizes budgets, and provides booking links — your personal AI travel advisor built with Python.
Use the Builder pattern to create fluent, validated, and immutable agent configurations — replacing sprawling constructors with readable step-by-step builder classes.
Learn how to build an AI-powered answering service agent that handles inbound calls around the clock, takes messages, answers FAQs, and routes urgent calls — so small businesses never lose a lead to voicemail.
Learn how to build an AI agent that handles 311 citizen complaints by classifying request types, routing to the correct city department, tracking status, and automating follow-up communications.
Design and build an admin dashboard for AI agents with metric cards, real-time charts, configuration panels, and activity logs using React, TypeScript, and TanStack Query.
Learn how to build an end-to-end analytics pipeline for AI agents, from event collection and schema design to data warehousing, ETL processing, and query patterns that surface actionable insights.
Design and build admin panels that let non-technical users configure AI agent behavior through intuitive forms, real-time preview, validation feedback, and approval workflows.
Learn how to design a comprehensive evaluation framework for AI agents covering metric selection, dataset creation, and automated scoring pipelines that scale across dozens of agent capabilities.
