The Drip
What’s News?
There have been big announcements in the past several weeks. As there have been in the preceding weeks
all year long.
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Microsoft announced
Copilot Home, Code and Autopilot
on September 25, bringing chat, building and ongoing agent work closer together. Rollouts and
previews are still underway.
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OpenAI introduced
dots
and
ChatGPT Space
on September 29: always-on agents and a place for people and AI to work together.
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Are we pacing the frontier, or do we need a pacer like someone trying to break a marathon world
record?
Inside the Bottle
What we’re working on / thinking about
If you compare the capabilities across the major software from OpenAI, Anthropic, Microsoft and
others… you will see something that largely looks… the same.
It wasn’t that long ago that I was pretty firm in my position that Claude Code was the crème de la
crème. That’s changed quite a bit. In fact, I’ve been happily camped in the ChatGPT/Codex app for a
couple of months now.
I think the value of debating which AI tool to go with is going down, and the value of picking one and
getting started is going up. Six months ago, I was trying to talk people out of Copilot. I had
sympathy for people who only had Copilot. That’s no longer the case.
I put together some thoughts on what makes an AI solution productive, and Kellan and I talked through
them and our own experience on this week’s edition of The Fizz:
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1.
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Context and memory: the information AI needs
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2.
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Skills: a reusable way to do the work
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3.
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Hooks and schedules: what gets it started
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4.
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Loops: keep checking and working toward a result
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5.
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Human judgment: where you decide and approve
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Whatever solution you’re rolling with these days, chances are you already have enough to start doing
useful work. Features and access vary. The same principles apply to custom systems built around
open-weight models, too.
For a full rundown on these and our experience with each, head to The Fizz on
YouTube. Or listen on
Apple Podcasts
or
Spotify.
Thanks for reading, Justin
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