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
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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 Knowledge Bases: Keeping Delegated Work Grounded
How to design AI agent knowledge bases that keep delegated work grounded in current, trusted sources without turning …
AI Agents
AI Agent Change Management: Shipping Updates Without Breaking Delegated Work
How to manage AI agent changes across prompts, models, tools, memory, evaluations, rollout gates, traces, rollback …
AI Agents
AI Agent Runbooks: How to Make Delegated Work Repeatable
A narrative guide to AI agent runbooks, operating rhythms, approvals, logs, handoffs, escalation, and making delegated …
AI Agents
AI Agent Context Windows and Working Sets: Choosing What the Delegate Can See
A narrative guide to context windows, working sets, source selection, memory discipline, privacy, and keeping AI agent …
AI Agents
AI Agent Sandboxes: Where Delegates Can Safely Work
A narrative guide to AI agent sandboxes, test environments, mock tools, read-only data, approvals, production …
AI Agents
AI Agent Tool Contracts: Designing the Handles Agents Can Safely Use
How to design tools for AI agents with clear inputs, bounded actions, predictable outputs, permission gates, logging, …
AI Agents
When AI Agents Fail: How to Debug the Delegation
A practical debugging guide for AI agent failures: vague goals, missing context, tool errors, stale memory, hidden …