I think OpenAI’s Decisions API is totally underrated. I’ve been building a bunch of small apps with it, and it's been a lot of fun. There are a ton of classification style solutions that were before too cumbersome to build and now it's just way easier.
Here are some that I've been playing around with:
1. An ADHD Detector
I watch far too much YouTube. This app takes a screenshot every couple of minutes and checks whether YouTube is visible or other things and alerts me that I am distracted.
2. An email triage app
My inbox is out of control. I built an app that checks whether a message needs action, puts it in a category, and shows a spam score from 0–10. The app then uses that score to decide what to keep and what goes to trash.
3. A transaction categorizer
This takes transaction descriptions and groups them into household, food, health and other expenses. Then the app adds up the categories. Merchant descriptions can be a mess, so having help with the sorting is pretty useful.
4. Gamer
I can play tic-tac-toe or chess against the model. I’ve also been using it to experiment with decisions driving browser actions.
5. A notification router
I have a notification pipeline, and I wanted the urgency of an event to affect how it reaches my phone. A routine update can wait.
I like being able to try these ideas without first collecting a dataset and training a separate classifier. There are a bunch of places in everyday apps where a category, a score or a yes/no result gives you something useful to build around.
Checkout the video for more..
Congrats! Enjoy every moment, sleep when you both can and cherish every moment. Try and get extra help for the first few weeks, all food (breakfast, lunch, dinner), laundry, house cleaning and a night nurse.
My daughter is almost 5, it goes fast! It’s the best! Excited for you! 🎉
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now.
The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way.
But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now.
I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either.
With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.
@romainhuet we need a romain_baguette_score in the follow up to this.
A: "An Insult to France",
B: "Supermarket Tier",
C: "Solid Boulangerie", "
D: "Romain Approved Elite"
Foursquare was acquired last month. The outcome was disappointing. It's taken me a while to write this, but I think I'm finally done grieving it. Here are some thoughts on our final years, an effort to honor the team who helped build & maintain FSQ's legacy, and my attempt to finally get some closure. https://t.co/HgcgI9DWvy
Vibe coded my parents' TV this afternoon!
It was showing a sponsored ad before you could even get to Netflix.
Gave Claude Code the model number, it found the TV on wifi, removed 25 Xiaomi packages and wrote a new launcher.
Looks like an Apple TV now lol
@theo SPTM (Secure Page Table Monitor) or TXM (Trusted Execution Monitor) and basically anything low level on M-Chips or any Apple device.
Not impossible, but getting Omarchy to work on M4 pro has been a lot of un-necessary hassle.
@embirico@OpenAI this is a really great addition, wish it could do diarization or at least know it was me speaking.
we currently use GPT-Live to join our Zoom meetings and route questions or actions using the decisions api. wish it had diarization for lots of use-cases. 🙏
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: https://t.co/23LwuiFghT
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.