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The day software started talking to software

AI-generated image: The day software started talking to software
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Good morning. The announcements this morning share one subject: tools built for people are now being used, in part, by software acting on a person's behalf. The practical questions that follow are not about what these systems can do but about governance, cost and who is accountable when an automated actor does the work.

If you buy software this year, this is the lens to carry into every demo. A product that assumed a human at the keyboard now has to account for a non-human one, and that changes what you should ask before you sign. We keep a plain record of what each tool does to a customer so that when an automated step runs, you can still see who or what touched the account and when.

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What we're tracking

  • When half the traffic is not a person Most communication tools were designed around a simple assumption: a message has a human sender. Permissions, notifications and audit trails all lean on that idea. When a share of the messages in a channel start coming from automated agents, the assumption quietly breaks. You are no longer only managing conversations between colleagues. You are managing a space where code posts, reads and reacts alongside people.
  • Governance of what a meeting leaves behind A video call used to be ephemeral. Now a single meeting can produce a recording, a transcript and a set of AI-generated notes, and each of those is a data object that lives somewhere, under some policy, visible to some people. Many organisations have never written that policy down, which means the default behaviour of the tool becomes the policy by accident.
  • The cost sitting behind the agents Automated agents and AI notes do not run on nothing. They run on model providers, and the economics of those providers are now part of your supply chain whether you contract with them directly or not. When a vendor you depend on raises prices or changes terms, the cost flows down to you.
  • When commercial demand overtakes the original customer A company's revenue mix tells you who it is really built to serve, and that mix shifting is a signal about the wider market. TechCrunch reported that Palantir's U.S. commercial revenue surpassed its U.S. government revenue for the first time [4]. A firm long associated with the public sector now earns more from ordinary businesses.
  • One maintainer, one assistant Not every item today is about scale. GitHub described a project that turns any place on Earth into a Minecraft world, built by one person, where GitHub Copilot now helps him maintain it alone [5]. On its own it is a small story. As a pattern it is worth noticing.
  • What to take from the day The common thread is that the actor on the other side of your software is increasingly not a person. That raises governance questions in your chat tool, in your meetings, in your cost base and in the small projects you quietly depend on. None of it argues against adopting these tools. It argues for adopting them with the record, the policy and the exit intact. For the previous day's reading, see yesterday's briefing.

From the blog

  • Why every customer message belongs in one inbox

    A shared inbox pulls chat, email, forms, social messages and reviews into one place your whole team works from. Here is what that changes about the work, and how to tell whether your business has outgrown scattered tools.

    20 October 2026

  • How to keep a team of five aligned without meetings

    A team of five does not need daily meetings to stay aligned. It needs a short list of things written down in one place everyone can reach. Here is what to write, and where it should live.

    12 October 2026

  • What to do about a customer who leaves

    A churn rate tells you how many customers left. It cannot tell you why. Here is how to capture the reason, one departure at a time, so the number becomes something you can act on.

    11 October 2026

Sources

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