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Make products AI agents want

As AI agents become the primary users of productivity and infra tools, companies must shift from human-centric to agent-native design. Key strategies include providing programmatic parity, multi-surface support (API, CLI, MCP), agent-readable documentation, identity and safety primitives, and integration into agent ecosystems. Metrics also need to evolve from DAU to Daily Active Agents (DAA), actions completed, outcomes, and repeat agent visits.

SourceHacker News AIAuthor: anitakirkovska
Make products AI agents want
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

Article intelligence

EngineersIntermediate

Key points

  • AI agents are becoming the main users of productivity tools; products must be designed for agents.
  • Products need API, CLI, MCP support and docs that agents can read in 50ms.
  • Agent identity and safety features (idempotency keys, preview environments) are critical.
  • Metrics should shift from DAU to Daily Active Agents (DAA), actions, outcomes, and agent retention.

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

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