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 AI agents break down complex goals into executable steps using task decomposition, hierarchical planning, plan-and-execute architecture, and dynamic replanning strategies.
Build a reputation system that tracks agent reliability and output quality over time. Learn scoring mechanisms, trust propagation, penalty systems, and how to rehabilitate underperforming agents.
Design effective agent response formatting using Markdown rendering, rich card components, interactive elements, tables, code blocks, and responsive layouts for chat interfaces.
A practical framework for deciding when to create specialized single-purpose agents versus general-purpose agents. Covers capability mapping, cost-quality tradeoffs, and real-world decision criteria.
Learn how to model AI agent workflows as finite state machines with explicit states, transitions, and guards — providing predictable behavior, easy debugging, and reliable persistence for long-running tasks.
Discover how swarm intelligence principles like stigmergy, ant colony optimization, and particle swarm optimization can be applied to multi-agent AI systems. Includes Python implementations of each pattern.
Design and build an agent template marketplace with versioned templates, customization parameters, community ratings, and a structured taxonomy that helps users find and deploy the right agent in minutes.
Design and implement a standardized API for agent-to-agent communication, covering interface contracts, service discovery, authentication between agents, and message formats that enable seamless multi-agent orchestration.
Explore the emerging agent-to-agent economy where AI agents autonomously discover services, negotiate terms, execute payments, and build trust — all without human intervention. Learn the protocols, payment rails, and trust frameworks making this possible.
