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7 results
  1. signal13 Sept
    AI agents are moving from chat interfaces into enterprise workflows.

    The interface of AI is shifting from a chat box to a queue of delegated tasks connected to systems of record.

  2. signal10 Sept
    Seat-based software pricing is under structural pressure.

    When agents do the work, the number of human seats stops being a proxy for value delivered.

  3. signal10 Sept
    Software engineering is the proving ground for every other kind of agentic work.

    Tests, version control and code review give coding agents the feedback loop that finance, law and operations still lack.

  4. signal8 Sept
    The interface of knowledge work is becoming a review queue.

    When agents draft, code and analyse, humans move from producing output to specifying and approving it.

  5. signal11 Sept
    Inference, not training, is becoming the dominant compute story.

    As agents run continuously, the economics of serving models start to matter more than the cost of building them.

  6. signal8 Sept
    Prompt injection remains unsolved while agent permissions keep growing.

    The gap between what agents can do and what can be reliably prevented is the defining AI security problem of the period.

  7. signal11 Sept
    Every deployed agent is a new identity with credentials.

    Identity and access management is extending to non-human workers, and security teams are asking for least-privilege by default.