The systematic practice of designing, managing, and optimizing all the information an AI model or agent receives during inference — including system prompts, tool definitions, retrieved data, conversation history, memory state, and structured outputs — to maximize performance within a finite context window.
Agent memory is the set of mechanisms that allow AI agents to retain, organize, and retrieve information across sessions. Learn how episodic, semantic, and procedural memory work in AI agents.
Agent governance is the set of policies, oversight mechanisms, and accountability structures that control how autonomous AI agents make decisions, access data, use tools, and interact with humans and other agents. It is the framework that ensures these systems operate within defined boundaries, remain accountable for their actions, and align with organizational objectives. Analogy: Think…
An AI agent is LLM-powered software that reasons, plans, and executes multi-step tasks autonomously using tools. Learn how agents differ from chatbots and copilots.
Learn what delegation is in AI agents, how it works through privilege attenuation, common patterns like orchestrator-workers, and why multi-hop delegation is a key unsolved challenge in agent security.
Orchestration is the coordination layer that decides which AI agent acts, in what order, with what data, and when to stop. Learn the five core patterns: sequential, concurrent, orchestrator-workers, handoff, and evaluator-optimizer.
How adversarial attacks work Machine learning models learn by finding patterns in data. When you show a model thousands of pictures of stop signs, it learns to recognize the visual patterns that define ‘stop sign’—the red octagon, the white border, the letters S-T-O-P. Adversarial attacks exploit this learning process by adding carefully calculated noise or…
The Universal Commerce Protocol (UCP) is Google’s open standard enabling AI agents to discover products, build shopping carts, and complete purchases across different merchants and surfaces.
Prompt engineering is the practice of designing, refining, and optimizing the text instructions (prompts) given to a large language model (LLM) to elicit reliable, useful, and accurate outputs. It is a foundational skill for building with AI — distinct from fine-tuning (which changes the model itself) and Retrieval-Augmented Generation (which adds external knowledge).
Cryptocurrency is a form of digital money that uses cryptography to secure transactions, verify ownership, and control the creation of new units. Learn how Bitcoin, stablecoins, and programmable commerce work in the agentic economy.