360REV Newsletter
Daily Briefing
Steering AI, not just accepting its output
Good morning. The announcements on 21 October share one idea. The useful unit of AI at work is no longer a finished answer but a process a person can steer, and the controls for that process are starting to ship as first-class features. Across documents, slide decks, accounting ledgers and even software agents that message each other, the question is shifting from "generate this" to "here is how I want this done, and here is where I want to check it."
That shift matters when you are choosing tools, because it changes what you are buying. A one-shot generator is judged on the quality of its single output. A steerable system is judged on how well it lets you set direction, intervene, and keep a record of your preferences. The second kind is harder to build and much more useful day to day, so it is worth reading these releases for the control surface, not the demo.
What we're tracking
- A single place to tell AI how to work The most structural of the day's releases is the quietest. Google introduced what it calls a customize hub in the Gemini app: "a single place to tail how Gemini responds and connects with your tools" [1]. Strip away the product name and the idea is one every business should want from any assistant it adopts. Preferences, tone, connected apps and repeatable workflows should live somewhere durable, not be re-typed into a prompt every morning.
- Output you can steer before it is finished The same theme appears in content creation. Gemini Notebook, Google said, "now gives you more creative control over Slide Decks and Video Overviews" [2]. The underlying move is from a finished artefact to a creation flow you can direct along the way.
- Payments that live inside the tool you already use Away from AI, the day's clearest example of a different kind of control came from accounting. Xero and Bookkeeper360 launched an integration that, in Xero's words, is "a first of its kind, using Melio capabilities to power a fully embedded, white-label solution" [3]. The phrase to notice is "fully embedded, white-label." It means a payment capability that appears inside the accounting firm's own platform rather than sending the user out to a separate site with a separate login.
- When agents start talking to each other The most striking item of the day was a report, not a product. SaaStr described two AI agents that coordinate on their own: "Two of our agents now talk to each other every day" [4]. The authors were candid that they did not engineer the link between them.
- The part no vendor can ship for you Finally, a useful corrective from Zapier, writing about AI training. Most teams, it argued, "don't struggle to implement AI in their daily workflows because they're resistant to change—they struggle because they haven't been given the structure to learn how to use it effectively" [5].
- What to take from the day If you are choosing tools this week, read these releases as a set. The direction is consistent: controls over output, a durable home for preferences, capabilities embedded where you already work, agents that can coordinate, and a clear reminder that none of it works without trained people. The vendors are moving the control surface closer to you. Whether that control is real depends on whether you can see the settings, examine the partners, log the actions, and teach the team. Buy for the steering, not for the demo.
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Sources
- An easier way to customize how Gemini works for you Google Workspace Updates
- Gain more creative control over Slide Decks and Video Overviews in Gemini Notebook Google Workspace Updates
- Xero and Bookkeeper360 launch a first-of-its-kind integration that puts Melio payments inside accounting firms’ own platforms Xero
- Meta’s Muse and Our AI VP of Revenue 10K Built Their Own ‘Secret’ Mailbox to Work Together. Then They Came Up With a Safe Word. SaaStr
- How to implement AI training for employees Zapier
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