Blog

  • You can now tag an AI in Slack like a colleague

    Anthropic has launched Claude Tag, a way to bring its AI into Slack so a team can mention it in a channel and hand it tasks. You type @Claude, describe what you need, and it works in the background while you get on with something else. It can remember relevant context from the channels it sits in, and it can plan and carry out tasks over time rather than only answering in the moment.

    The shift here is subtle but real. Most people still use AI like a very fast search box: you ask, it answers, you move on. Claude Tag pushes a different habit, closer to handing a job to a colleague and trusting them to come back when it is done.

    Should you care? If you work in a small team, this is the more interesting half of the AI story. The promise is that a few people can take on work that used to need more hands, by delegating routine tasks to an assistant that runs while they sleep. For a lean Nairobi startup, that is the kind of leverage that actually matters.

    The caveats are worth stating plainly. Claude Tag is aimed at Team and Enterprise customers, not casual free users. And because you are granting an assistant access to channels and tools, who can see what, and what the assistant is allowed to touch, becomes a real decision, not an afterthought. Anthropic lets administrators scope that access tightly, which you should use.

    The takeaway is less about Slack and more about direction. AI is moving from a thing you talk to toward a thing you delegate to. This is an early, visible step in that move.

  • Google’s Gemini gets an agent, a video maker, and a brief

    At its I/O 2026 event, Google announced a wave of Gemini updates aimed at turning the app from a chatbot into an all-purpose assistant that can act for you. The headline additions: Gemini Spark, described as a personal agent that keeps working in the background; Gemini Omni, a video model that turns prompts and media into generated video; and Daily Brief, which pulls your inbox, calendar, and key tasks into one morning digest.

    Google also rebuilt the app’s look and changed how answers are shown: instead of a wall of text, the key point appears at the top, with detail below. Readers of tecMAMBO will find that familiar, because leading with the point is the whole idea behind plain-English tech.

    The reason this matters more than a typical product update is distribution. Gemini is becoming the default assistant across Android and Google’s apps. When an agent and a video generator are built into tools you already use, you do not have to adopt them. They simply show up.

    Two things are worth watching. First, Spark is an agent, meaning it takes actions, not just answers, so the questions of trust and oversight that come with any agent apply here too. Second, Google is expanding its content-labelling tools, including SynthID and Content Credentials, to flag AI-generated content across more places. In a year when telling real from generated is getting harder, that labelling may end up being the most useful announcement of the lot.

  • The quiet change ending all-you-can-eat AI

    Anthropic has changed how it charges for one kind of Claude usage: automated, programmatic work, the sort that powers coding agents and scripts rather than a person typing in a chat. The important distinction is between interactive use, where a human is actually using the tool, and headless or automated use, where software can keep calling the model on its own.

    The reason is simple arithmetic. A person using AI sends maybe dozens of prompts a day. An autonomous agent can fire off thousands, run tests, and call the model again and again, burning far more compute than a flat monthly fee was ever designed to cover. That is why all-you-can-eat AI subscriptions may not survive the agent era.

    Should you care, even if you are not a developer? Yes, because it is a preview of where AI pricing is heading for everyone. As AI shifts from a thing you type into toward agents that run jobs on your behalf, billing shifts with it: away from a tidy flat fee and toward something metered, like data bundles or electricity, where heavy use costs more.

    The practical advice is to know which kind of user you are. If you chat with AI a few times a day, flat plans still suit you fine. If you start handing tasks to agents that run on their own, watch the meter, because that is where the real cost now lives.

  • Hello world!

    Welcome to WordPress. This is your first post. Edit or delete it, then start writing!