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 Model Selection: Matching Capability to the Work
How to choose AI agent model capability, context, tool use, speed, cost shape, fallback behavior, and verification depth …
AI Agents
AI Agent Threat Modeling: Finding Risk Before Delegation
How to threat model AI agent workflows by mapping assets, trust boundaries, tools, untrusted inputs, permissions, …
AI Agents
AI Agent Review Queues: Moving Human Judgment Without Bottlenecks
How to design AI agent review queues that route delegated outputs through triage, evidence review, approval, revision, …
AI Agents
AI Agent Acceptance Criteria: Defining Done Before Delegation
How to define acceptance criteria for AI agent work so delegated tasks finish with evidence, boundaries, validation, and …
AI Agents
AI Agent Browser Workflows: Working Through the Web Without Losing the Thread
How to design AI agent browser workflows with source judgment, form boundaries, session safety, evidence capture, and …
AI Agents
Coding Agents in Existing Repositories: Onboarding a Delegate to the Codebase
How to onboard an AI coding agent to an existing repository with project conventions, ownership boundaries, tests, …
AI Agents
AI Agent Status Updates: How Delegates Should Report Progress
How AI agents should communicate progress, blockers, evidence, changes, and next actions during delegated work without …
AI Agents
AI Agent Dry Runs: Rehearsing Delegated Work Before It Acts
How to use dry runs, simulations, previews, and rehearsal environments so AI agents can prove their path before touching …
AI Agents
AI Agent Escalation Paths: Knowing When to Ask for Help
How to design escalation paths for AI agents so uncertainty, missing access, risk, and blocked work reach the right …
AI Agents
AI Agent Artifact Design: Turning Runs Into Reviewable Work
How to design AI agent outputs as durable artifacts with evidence, provenance, versioning, validation, and handoff …
AI Agents
AI Agent Operating Metrics: Measuring Delegation After Launch
How to measure AI agent workflows with completion quality, review burden, override rates, queue health, cost, …
AI Agents
AI Agent Retries and Idempotency: Making Repeated Actions Safe
How to design AI agent workflows so retries, duplicate tool calls, partial failures, approvals, and recovery paths do …