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AI at Work

Tweets, posts, and field notes on how people and companies are actually adopting AI at work.

  1. Tweet

    Mar 8, 2026

    Building for trillions of agents

    Levie sketches the supporting stack he expects around large-scale agents: sandboxed execution, tool access, memory, wallets, identity, and governance. It is useful as a map of the infrastructure and workflow changes companies may need as agents move from demos into real operating environments.

    Author
    Aaron Levie
    Published
    Mar 8, 2026
    Tags
    ai-adoption agents workflows tooling security

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  2. Tweet

    Mar 7, 2026

    AI makes product judgment more important

    The core claim is that AI reduces the cost of building, which raises the value of people who can decide what to build, how to sequence it, and how to frame it coherently. It is a useful articulation of how AI can shift status and bottlenecks inside product teams.

    Author
    signull
    Published
    Mar 7, 2026
    Tags
    ai-adoption org-design leadership culture

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  3. Tweet

    Mar 6, 2026

    5% of merged PRs now come from background agents

    Concrete adoption metric: background agents now account for 5% of merged pull requests. The post also points to the surrounding workflow, including Slack as the coordination layer and local dev environments with Claude Code.

    Published
    Mar 6, 2026
    Tags
    ai-adoption agents engineering ai-coding metrics

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