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 social media presence across platforms by scheduling content, posting at optimal times, tracking engagement metrics, and generating AI-powered responses to comments.
Build an AI booking agent for spas and wellness centers that handles service selection, therapist matching, package recommendations, and real-time availability scheduling.
Create an AI study planner agent that builds personalized schedules using spaced repetition algorithms, optimizes review timing, and adapts to individual learning pace and availability.
Build an AI agent that provides end-to-end supply chain visibility across ocean, air, rail, and truck shipments with milestone tracking, delay prediction, and automated stakeholder notifications.
Build an AI agent that processes survey responses at scale — categorizing open-ended answers, detecting sentiment, extracting recurring themes, and generating executive-ready reports with statistical backing.
Build an AI agent that helps taxpayers understand filing requirements, set up payment plans for outstanding balances, check refund status, and navigate tax rules without providing tax advice.
Build an AI thesis advisor agent that helps graduate students brainstorm research topics, find relevant literature, develop methodology, and plan their thesis timeline.
Implement translation memory systems with term glossaries, translation caching, and consistency enforcement to maintain uniform terminology across all AI agent interactions.
Build an AI agent that explains dental treatment plans in plain language, provides accurate cost estimates with insurance breakdowns, and presents financing options to help patients make informed decisions.
