AI Agents
AI Agent Permissions: The Ladder From Read to Act
How to think about AI agent permissions, approval gates, private data, money movement, reversibility, and audit trails.
Ai Agents
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AI Agents
How to Delegate to AI Agents: A Playbook for Better Tasks
A practical narrative guide to turning vague work into clear AI agent assignments with outcomes, boundaries, …
AI Agents
The Future of AI Agents: Permission, Memory, and the Open Agentic Web
A grounded forecast of AI agents: personal delegates, enterprise fleets, open protocols, safety, identity, robotics, and …
AI Agents
What AI Agents Are: The Moment Software Started Taking Initiative
A clear narrative definition of AI agents, how they differ from chatbots and automation, and why the term matters.
AI Agents
What AI Agents Can Do Now: From Errands to Real Work
A grounded tour of what AI agents can already do in research, coding, operations, customer support, and personal …
AI Agents
AI Agent Task Decomposition: Scoping Work Agents Can Actually Finish
How to break broad AI agent assignments into scoped subtasks, dependency boundaries, checkpoints, and reviewable …
AI Agents
AI Agent Output Verification: Checking Work Before It Becomes Trusted
How to verify AI agent outputs against the original task, source evidence, tool results, permissions, tests, and handoff …
AI Agents
AI Agent Routing: Sending Work to the Right Delegate
How to route AI agent work by task shape, risk, tool access, model effort, review burden, and escalation path before a …
AI Agents
AI Agent Structured Outputs: Schemas That Make Delegated Work Usable
How to design structured AI agent outputs with schemas, validation, evidence fields, uncertainty, and handoffs that …
AI Agents
AI Agent Dependency Hygiene: Keeping Delegated Work Stable
How to keep AI agent workflows stable by making tools, packages, files, APIs, schemas, credentials, tests, and runtime …
AI Agents
AI Agent Instruction Hierarchies: Keeping Goals, Policies, and Evidence in Order
How to design AI agent instruction layers so durable policy, task goals, tool evidence, and untrusted content do not …
AI Agents
AI Agent State Management: Keeping Runs Legible From Start to Finish
How to model AI agent run state across queues, tools, checkpoints, approvals, side effects, validation, handoff, and …
AI Agents
AI Agent Checkpoints: Making Long-Running Work Resumable
How to design AI agent checkpoints that preserve task state, evidence, decisions, partial work, and review context so …
AI Agents
AI Agent Control Surfaces: Designing Interfaces for Delegated Work
How to design the human-facing interface around AI agents: state, approvals, evidence, interruptions, permissions, and …
AI Agents
AI Agent Data Boundaries: Minimization, Redaction, and Retention
How to keep AI agent workflows useful without copying too much sensitive context into prompts, tools, logs, memory, …
AI Agents
AI Agent Identities: Credentials, Service Accounts, and Accountability
How to design AI agent identities with separate accounts, scoped credentials, attribution, secret handling, revocation, …
AI Agents
AI Agent Prompt Injection: Working With Untrusted Content
How to design AI agent workflows that treat web pages, documents, tickets, emails, and tool outputs as evidence without …