What is Jev? A newly released decision model: you give it text and a set of options, and it tells you which option fits and how sure it is. And it does so extremely fast and cheaply. I did several tests. This is what I saw. In my own test it labelled 14,007 emails in 4 minutes for about $0.50. Running the same job through Sonnet would have cost about $42 and taken a lot longer. On a smaller run the answers were as good while being 80 times cheaper and fast enough you could use it practically in real time. Why does any of this matter? Let me explain in an example of a workflow that would crank on this: You have incoming email. Send it through a decision tree: - Is the email for support or finance? - Jev - If support, what product is it for? - Jev - If for a TV, is it about the recall, or which of 3 TVs? - Jev - If recall, send canned message - code - Depending on which TV, assign to X person - code - Search documents based on the question and draft a first response - LLM The expensive LLM no longer does all the decision tree work it would have in the past. Jev does that for about 1/80th of the cost. The LLM (Or Human) is at the end of the tree not spending time pointing it in the right direction. The recall is an example of adding a new or temporary category. With Jev that means writing one more sentence describing it. No retraining, no labelled examples. If it's a recall, send them where to go for it and no LLM is called at all. It's cheaper than it looks. Questions about the same email can all go in one call: support or finance, which product, recall or not. The whole top of the tree comes back in one round trip. Only the LLM step at the bottom has to wait. Where it needs care There will always be ambiguity in text. LLMs and Jev are susceptible to this. Jev returns a confidence score that you can choose how to interpret. Is 70% good enough to move to sending a response before a human looks at it? It's cheap enough to run on every email even when a human still reads them all. It sorts the pile and flags the unsure ones first.

I don't want a progress percentage today. I want to know what's actually changing. If you've been working through Building Your Stack, what is one decision you've made because of it? - Maybe you added something. - Maybe you removed something. - Maybe you realized part of your current stack makes absolutely no sense. 😂 Whatever it is, post it below. What did Building Your Stack make you rethink? And if you've been flying through the lessons but skipping the quizzes or accountability posts... Go back. Those are there to make sure you can actually explain and apply what you're learning rather than just consuming it. Drop your biggest realization below. 👇 And keep going. New roadmap next Friday, September 25th.

Your operating system is one of those quiet decisions that shapes every tool after it. I'm curious what this room actually runs. 1. What OS are you on day to day? 2. Why that one over the alternatives? 3. How long have you been on it? I'll go first: I've been a die hard Mac girl my entire life from a ui and creative perspective they always gave me the best experience. However now with the age of Ai I'm experimenting with Omarchy Linux, It is a Distro that has a skill for the OS... So yes that does mean we are in the Vibe-Code your own OS modification era. Just remember... With great power... Comes great hallucinations... No wrong answers. Dual boot counts. Distro names welcome. The "I switched last month because X" stories are the useful ones. OMARCHY: https://omarchy.org/ //A<3

If you were needed to explain why we shouldn't rely fully on AI Agents and Skills to other Engineers who are ICM non-believers, how would you all explain it?

Three days into Implementation Playbooks. I want to know what came out of it. Not what you watched. Not what you understood. What did you actually MAKE? - An animation you finally got working? - A folder structure that finally makes sense for your AI setup? - A browser workflow that's saving time? - Or something else entirely? Drop it below. Doesn't matter how small. Some of the most useful things in here started as the smallest outputs. And if you got stuck on a step... Don't sit there spinning. - Bring it to the Clief Notes AI - Bring it to the next call - Go back to the lesson and figure out WHERE you got stuck. That's part of the build. The roadmaps aren't here to make you feel like you completed something. They're here to make sure you walk out the other side with something you can actually use. Drop what you built below. 👇