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, …
Workflow Design
Featured
AI Agents
AI Agent Workflow Discovery: Finding the Work Worth Delegating
How to find agent-worthy workflows before building them, by studying real work paths, context movement, exception …
AI Agents
AI Agent Capability Inventories: Knowing What the Delegate Can Really Do
How to keep a practical inventory of an AI agent's tools, permissions, model lane, context sources, review needs, and …
AI Agents
AI Agent Trigger Design: Deciding When a Delegate Should Start
How to design safe AI agent triggers from inboxes, schedules, webhooks, queues, and manual requests without creating …
AI Agents
AI Agent Input Normalization: Preparing Messy Requests Before the Run
How to turn messy requests, attachments, records, and source material into stable AI agent inputs without hiding …
AI Agents
AI Agent Knowledge Freshness: Keeping Sources From Going Stale
How to manage freshness for AI agent knowledge bases, retrieved evidence, memory, checkpoints, and artifacts so old …
AI Agents
AI Agent Intake Packets: Framing Work Before It Starts
How to prepare AI agent task intake packets with scope, sources, constraints, permissions, acceptance criteria, and …
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 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 …