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 for emergency management agencies that distributes disaster alerts, maps shelter locations, coordinates resource information, and provides real-time updates to affected citizens.
Build an AI onboarding agent that automates new hire document collection, generates personalized training schedules, manages task checklists, and facilitates buddy assignments for a seamless first-week experience.
Build an AI agent that designs employee surveys, distributes them to targeted groups, collects responses with anonymity controls, and performs sentiment analysis to surface actionable insights for leadership.
Build an AI venue management agent that handles event inquiries, provides venue details, schedules tours, generates customized proposals, and manages automated follow-up sequences.
Build an AI agent that conducts structured exit interviews, collects candid departure feedback, analyzes trends across departures, and generates retention insights to help organizations reduce unwanted turnover.
Build an AI agent that scans receipts with OCR, categorizes expenses, checks them against company policy, routes approvals, and generates expense reports automatically.
Build an AI agent that handles class bookings, answers membership questions, manages trial signups, and drives retention for fitness studios — from yoga studios to CrossFit boxes.
Build an AI agent that monitors fleet vehicles via GPS integration, enforces maintenance schedules based on mileage and time rules, and sends alerts to drivers and fleet managers automatically.
Build an AI agent that manages food bank inventory, schedules distribution appointments, checks client eligibility, and coordinates with partner agencies for efficient food assistance.
