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
Build a triage agent that classifies incoming requests, routes them to the correct specialist agent with confidence scoring, and handles ambiguous or unclassifiable inputs with fallback strategies.
Learn how to design AI agents that earn user trust through transparent uncertainty communication, source attribution, confidence scoring, and honest correction handling.
Learn how to build an AI tutoring agent that assesses student knowledge, adapts difficulty in real time, and uses scaffolding techniques to guide learners through complex topics.
A practical guide to building a TypeScript SDK for an AI agent platform, covering package setup with tsup, strong type definitions, a fetch-based HTTP client, and JSDoc-powered inline documentation.
Learn how to build an AI agent that guides prospective students through university admissions, tracks application deadlines, manages document checklists, and provides real-time status updates.
Build an AI agent for veterinary practices that handles pet health inquiries, manages vaccination reminders, performs emergency triage, and schedules appointments — while keeping pet owner communication warm and reassuring.
Learn how to build a video analysis agent in Python that extracts key frames, detects scene changes, performs temporal analysis, and generates structured summaries using vision language models.
A step-by-step tutorial for building a voice AI agent using the OpenAI Realtime API — covering WebSocket setup, audio streaming, function calling, session management, and production deployment patterns.
Implement a voice interface for AI agents using the MediaRecorder API, real-time audio waveform visualization with Canvas, and audio playback controls in React.
