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
Learn how to build an AI agent that generates Comparative Market Analyses by pulling comparable properties, analyzing market data, applying valuation models, and producing professional reports.
Build an AI agent that provides real-time public transit information including route planning, live delay updates, accessibility features, and multimodal trip suggestions for city residents.
A hands-on guide to building a production-quality Python SDK for an AI agent platform, covering package structure, the HTTP client class, Pydantic response models, and a structured exception hierarchy.
Build an AI assistant for real estate agents that searches property listings, performs comparative market analysis, generates valuations, and prepares transaction documents.
Build an AI agent that scores real estate leads, runs personalized drip campaigns, schedules property showings, and automates follow-up sequences from first contact to closing.
Build a real-time AI coding assistant that integrates with code editors, extracts context intelligently, debounces user input, and streams code suggestions and explanations with low latency.
Build a production-grade real-time dashboard for monitoring AI agents, featuring live metrics pipelines, streaming log aggregation, agent health indicators, and efficient frontend rendering with React.
Learn how to build an AI recruiting chatbot agent that handles job search queries, guides candidates through applications, conducts screening interviews, and provides real-time status updates.
Build an AI agent that manages the end-to-end referral workflow — matching patients to specialists based on clinical needs and insurance, checking availability, transferring records, and tracking referral completion.
