Agent-Native Tools Series #6: Durable State and Resumable Work

AI agents need to pause and resume work without restarting when they encounter real-world interruptions like missing approvals or system delays.

Agent-Native Tools Series #5: Compound Commands Beat Tool Chatter

Agent integrations often fail because exposing too many tiny actions forces the AI into excessive chatter instead of using compound commands.

Agent-Native Tools Series #8: Permissions, Sandboxes, and Trust Loops

Agents need delegated authority with shape: scoped permissions, bounded tools, sandboxes, approvals, and visible logs. Graduated trust loops let autonomy expand after reliable low-risk work while preserving review at the boundary between preparation and consequence.

Agent-Native Tools Series #7: Agent Affordances: Dry Runs, Diffs, Rollbacks, Structured Errors

While humans intuitively spot danger signals in software interfaces, agents need their own affordances to recognize when something is wrong.

Agent-Native Tools Series #9: MCP, Skills, and Tool Contracts

MCP servers, skills, and CLIs matter insofar as they provide dependable tool contracts. Stable schemas, explicit side effects, embedded guardrails, dry runs, and recoverable errors let agents discover, execute, verify, and safely resume real work.

Harness Engineering Series #2: Context Engineering Is the Real Interface

A concrete operator guide to context engineering is the real interface: what changes, who owns it, how to verify it, and where it breaks.

Harness Engineering Series #1: Why Harnesses Matter

A concrete operator guide to why harnesses matter: what changes, who owns it, how to verify it, and where it breaks.

Agent-Native Tools Series #10: The Agent-Native Software Company

An agent-native software company goes beyond adding a chatbot to design its product, pricing, and operating model around delegated work.

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Start with a weekly briefing, add daily notes, or hear only when a durable essay or library update is ready.

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