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Setting up an AI-native organization

Most companies are doing 'AI-assisted': employees use ChatGPT or Claude to ship their own work faster. That’s useful, but the AI is still serving an individual workflow; the company is still organized around people who relay everything between each other. AI-native is different. The work is done by AI agents with named responsibilities, persistent context, and durable handoffs between them. Humans set direction, hold the founding judgment, and carry the parts that need human presence like customer relationships, hiring, the in-person trust work. The agents do the rest. This post is about what we learned doing it at aweb.ai.

SourceHacker News AIAuthor: juanre
Setting up an AI-native organization
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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EngineersIntermediate

Key points

  • AI-native organizations treat AI agents as first-class citizens with stable identities and persistent context.
  • Work artifacts (tasks, decisions, handoffs) replace ephemeral conversations as the source of truth.
  • Seven permanent agents and two humans form the team at aweb.ai, each with specialized roles.
  • Six principles guide the setup: work needs artifacts, two voices for substantial work, owned surfaces, shared state, feedback strength grading, and distribution over features.

Highlights and analysis are generated automatically and may contain errors. Check the original source.