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.
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 narrative guide to human review in AI agent workflows: handoffs, approval gates, audit trails, risk levels, evidence, …
AI Agents
A practical guide to evaluating AI agents with task suites, logs, rubrics, permissions, regression checks, human review, …
AI Agents
A narrative guide to AI agent runbooks, operating rhythms, approvals, logs, handoffs, escalation, and making delegated …
AI Agents
A narrative guide to AI agent observability, including traces, logs, tool calls, evidence trails, review, debugging, …
AI Agents
A narrative guide to context windows, working sets, source selection, memory discipline, privacy, and keeping AI agent …
AI Agents
A narrative guide to AI agent sandboxes, test environments, mock tools, read-only data, approvals, production …
AI Agents
A narrative guide to the practical operating costs of AI agents, including latency, queues, model calls, tool use, …
AI Agents
A narrative guide to AI agent incident response, including stop controls, rollback, evidence, triage, user …
AI Agents
A narrative guide to coordinating multiple AI agents with clear ownership, shared context, conflict control, review …
AI Agents
How to design AI agent workflows that treat web pages, documents, tickets, emails, and tool outputs as evidence without …
AI Agents
How to design AI agent knowledge bases that keep delegated work grounded in current, trusted sources without turning …
AI Agents
How to manage AI agent changes across prompts, models, tools, memory, evaluations, rollout gates, traces, rollback …
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