Today’s reading list is a mix of practical AI implementation, terminal tooling, and a glimpse into the future of human-computer interaction. It’s fascinating to see how quickly the conversation is shifting from “what can AI do?” to “how do we actually use this stuff?”

[article] You can now easily call LLMs from your messaging engine. Should you?. Richard Seroter provides a really nice walkthrough on adding LLMs to Pub/Sub in Google Cloud. It’s a great example of bringing AI directly to the data pipeline.

[tool] Make Tmux Pretty and Usable. Tmux is pretty great, although I prefer Zellij. This article still gives you a bunch of solid tips on making Tmux useful and nice to look at if it’s your multiplexer of choice.

[article] Duolingo CEO Says They’ve Stopped Tracking Employees’ AI Use for Performance Reviews. Employees aren’t stupid. They understand that the adoption of AI and all its ability to increase productivity does nothing for them individually. There is no incentive, and that is why we keep seeing stories like this pop up.

[article] AirPods Pro 3 may let you talk to Siri without actually saying a word. This would be so cool. I remember this concept from the first time I read the Ender’s Game series when the characters could talk with AI systems through subvocalizations.

[article] 8 Tips for Writing Agent Skills. Writing skills is easy, but writing effective skills is much harder. My colleague Philipp has some great advice on how to craft instructions that agents will actually follow, which is a topic I’ve spent a lot of time thinking about recently.