Narrative guidebooks and game lessons on AI agents: what they are, what they can do, how to delegate safely, and where agentic systems are headed next.
Jump straight into the AI Agents track in the Fondsites game, then use the guidebooks when you want depth.
AI Agents is a practical library for learning delegated software without hype. Start with the guidebook shelf for the full reading path, then use the AI Agents Fondsites game track to drill the core ideas: tool use, permissions, memory, debugging, workplace adoption, and personal agents.
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What AI agents are, what they can do today, how to delegate to them safely, and how they may change work, software, and everyday life.
AI Agents
A guide to working context, project memory, personal preferences, stale facts, privacy, and the discipline of making …
AI Agents
How to think about AI agent permissions, approval gates, private data, money movement, reversibility, and audit trails.
AI Agents
A practical narrative guide to turning vague work into clear AI agent assignments with outcomes, boundaries, …
AI Agents
A grounded guide to preparing for personal AI agents: low-risk pilots, privacy zones, trust ladders, calendar habits, …
AI Agents
A practical debugging guide for AI agent failures: vague goals, missing context, tool errors, stale memory, hidden …
AI Agents
How AI agents are entering real workplaces, why adoption is uneven, and what leaders should watch before scaling.
AI Agents
A practical explanation of the parts inside AI agents: reasoning models, tools, memory, orchestration, sandboxes, …
AI Agents
A grounded forecast of AI agents: personal delegates, enterprise fleets, open protocols, safety, identity, robotics, and …
AI Agents
A clear narrative definition of AI agents, how they differ from chatbots and automation, and why the term matters.
AI Agents
A grounded tour of what AI agents can already do in research, coding, operations, customer support, and personal …