i named my dot "kitt". work, without opening a laptop. 1. commute. i call it. it remembers the follow-ups. 2. codex. it picks up a thread on my mac and nudges it along. 3. life. weekend plans with my daughter. a nas comparison i can read later. 4. reminders. birthdays. call this person. check this slack channel, ping me only if i need to act. 5. the recurring check. a channel, a pull request, a launch. same rule. ping me only when it matters.

my @bot just called a hotel with @usebland and added some room preferences for an upcoming trip asked some questions about parking. next: call @FrontierCorp 👀

jev-1 from @typesafeai is a new and interesting model and it's lightening fast <150ms. it provides typed choice, probabilities and confidence out. people have been building some interesting stuff with it from agent web browsing, game playing, order booking, search, classification, binary decision making (spam/not-spam), multi-choice, scoring and more. i made this simple tic-tac-toe game where you can play against jev: jev-tac-toe-replica.gpj.work… it's fast, fun and cheap. jev is free on @vercel's ai gateway until the end of the week 🚀

the agents api from openai is really nice. codex in a box and i think most people are sleeping on this. i've been using it a bunch and it removes a bunch of agent anxiety away from a bunch of tasks for me. 1. automated tasks (release notes, dream mode, meeting prep, todo updates) 2. code reviews (post merge latency stats, auto-flagging, skill updates) 3. reporting (posthog reviews, agent $, skill usage review). the biggest benefit is not having to run top or htop to monitor memory/cpu/energy use.

I’ve been experimenting with audio models recently using models from @ElevenLabs and @DeepgramAI. here are some ways to get the most out of the latest audio models: 1. Word-level transcription You get a transcript with start and end timestamps for individual words. I am terrible at saying a lot of “ums” and “uhs” and “likes”. so this is particularly useful for editing or just helping me reduce the occurance of this. Some other contenders are Deepgram, WhisperX and OpenAI audio models. 2. Sound effects There is something pretty novel about extending the sense of sound for things like “dings” when you add a task? The sound effect model is really nice at adding sounds for all sorts of things like notifications, game effects or when something finishes. 3. Music Music changes the mood and style of things. I like being able to generate music to match an idea or let the model orchestrate some music to go along with a certain vibe. 4. Voice isolation Sometimes, recording audio can be frustrating with that hum from a GPU or the fans running to keep you cool. Voice isolation models do a really great job at removing some of that sound, but also be careful as cleaner doesn’t always sound more natural. 5. Dubbing Being able to record in your own voice in another language without recording the whole thing again is next level. Like the beginning of the video in this post into Spanish. The speed at which these audio models are improving is super impressive, but wow are they fun and interesting to play with.

I’ve had more fun with GPT-6 Astra than I’ve had with a model in a long time. Here are 3 quick tips to get the most out of the model based on my own experience: 1. Use the model as an orchestrator feels more important than ever. For example you should instruct the model to act as a primary agent and that it's job is to plan, coordinate, and delegate rather than perform all tasks directly. This is really helpful for cost control too. 2. Review previous skills. If you have skills that are really detailed or have some custom CLIs for things, it's a strong enough model that it will figure it out without these things. For example, instead of having a CLI for Davinci Resolve to edit the video below, I just point it at the Davinci Resolve python scripting docs and it'll just figure it out. 3. Use seed strings (YES really). Generate a long, random alphanumeric string using a shell script. Define the design direction of my idea (color scheme, layout, typography, etc.) based on the string. Look beyond the surface for subpatterns, special numbers, anything that inspires you. Watch it cook some interesting designs. Over the weekend, I've been able to visualize electrical cables behind my walls (drill ready), fix the wifi (finally), re-designed my personal website, improved SEO, schedule my work week and tackle tasks that required too much back and forth with prior models to get a desired outcome. If you haven't checked it out you should!

GPT-6 Astra is a game changer for home renovation. Uploaded a floor plan with some measurements and help visualize an indicator for studs/electrical/water/gas lines.

I think Omarchy is the first OS I’ve used that actually feels built for the next era of personal computing. After a week or so it’s like living in the future @dhh and team cooked!! Also it’s so much fun to be able to change stuff on your machine that was previously locked down by @Apple. Linux Distros were always kinda hard to setup without going to some random forum to figure out why your driver for something didn’t work and now you can just use a model with a harness and it will work instantly. It’s also completely Open Source so the best models can easily debug things, unlike closed OS like @Apple and @Windows . Here are some things I noticed: - The window management is really nice and much easier to utilize screen space compared to Mac. You can configure it however you want with shortcuts, hot keys change it based on the time of day. - It’s wild to just have your OS change with a few prompts with an agent using a Mac feels like driving a stick shift with no power steering. - If you want to change the button on your Logitech MX Master Mouse or Elgato foot pedal. Ask codex and in 10 seconds it’s done. - Change the keyboard shortcuts to be Mac friendly, ask Codex and done. - It has all the apps you probably need Chrome, Codex, Grok Bot, Slack, Ghostty, Discord, OBS, Davinci etc. - Whenever i had a problem with something not working like my airpods, i could just ask a model and then it would figure it out and just work. Also it’s crazy fast, none of the Apple or Windows bloat. More hardware manufacturers need to ship with it pre-installed. 👀 @FrameworkPuter @Dell omarchy.org

The best thing about Computer in Codex is having it deal with certs and all the other stuff to get an App on TestFlight with iTunes Connect and the Google Play Store.

I used to tell Codex what to do. Now you can literally tell Codex what to do. You can use your voice to orchestrate tasks with larger models, check progress and steer the work all by talking on your laptop or on your phone. It's WILD!

Need a ChatGPT/Codex watch app so i don't need to hold my phone all the time to orchestrate remote work.