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 an AI agent that manages fundraising campaigns with real-time progress tracking, segmented donor communication, milestone notifications, and automated impact reporting for nonprofits.
Build an AI agent that automates GitHub workflows including issue triage, pull request code reviews, and release note generation using the GitHub API and webhook event processing.
Learn to build an AI agent for HOA management that summarizes meeting minutes, tracks violation workflows, and automates resident communication with customizable templates.
Build an AI agent that classifies home service requests, detects emergencies, provides preliminary quotes, and schedules technician visits for plumbing, HVAC, and electrical businesses.
Build an AI revenue management agent that implements dynamic pricing for hotels, forecasts demand, analyzes competitor rates, and optimizes occupancy through intelligent rate adjustments.
Build an AI agent that continuously ingests infrastructure metrics, detects anomalies using statistical and ML methods, and triggers automated remediation with human approval gates.
Build an AI agent that handles insurance claim intake, analyzes supporting documents, assesses damage, calculates payouts, and routes claims through the processing workflow.
Build an AI agent that automates insurance eligibility checks, parses plan benefits, calculates patient cost estimates, and handles prior authorization workflows using real clearinghouse APIs.
Build an AI mock interview agent with adaptive question selection, response evaluation across behavioral and technical tracks, and detailed performance feedback with improvement coaching.
