I spent the whole day today setting up integrations and skills in Codex for my top creator workflows.
Now I'm convinced that you can save at least 50% of your time on any type of knowledge work if you just set up the system upfront.
Note that all my workflows have human checkpoints along the way so I can apply my "taste."
Anyway, it feels extremely liberating to have all this set up. If you want to do the same, just follow these three steps:
1. Reflect on your past week:
- What work did you spend the most time on?
- What work was the most repetitive?
Pick your most painful, manual workflow to start.
2. List out every single step of that manual workflow. Be very detail oriented.
3. Open Codex (or Claude Code) and paste the list of steps from 2 and ask it "What integrations and skills can I build to streamline this with your help?"
AI will guide you the rest of the way.
i have told friends multiple times in recent months that china has already won AI with its open source approach.
it will take a while before it’s understood and accepted more widely.
Pulled the trigger today and switched 100% of Lindy traffic to DeepSeek v4, churning from Anthropic models.
Saves us millions of $ and we're actually seeing an *increase* in performance on many core use cases. Transformative for the business.
Our new Gemma 4 12B model hits a sweet spot between size + performance: it can run locally on a laptop, while enabling powerful multi-step reasoning and agentic workflows. Can’t wait to see what the community does with this one!
The engineers getting the most out of AI are the ones who pause for a few seconds before they build, to picture the person who will actually use the product.
That habit is a floor of product sense most engineers can reach without becoming PMs, and it compounds harder than raw speed.
This vocabulary is a side-effect of domain expertise. Having domain expertise makes you way better at getting what you actually want from AI relative to other people.
So learn how to code, learn design, all the fundamentals. It’s incredibly revelant, and it will stay relevant.
i suspect we've been in the mainframe era of AI computing and we're about to enter the PC era of it.
data centers are obviously still critical but oh man so much personal hardware and software is about to come
Our goal is to deliver unmetered intelligence to every home and every desk with Windows.
NVIDIA RTX Spark marks a real breakthrough toward that vision.
Looking forward to sharing more with Jensen, who will be joining us live from Taiwan, at Build this week! https://t.co/O9ttCunAhG
My best ideas happen during workouts or Sunday morning long bike rides. I used to have to think hard to remember, then jot down a quick reminder and email myself a "don't forget note" then pick it up on Monday morning.
Now I talk to Siri via air pods to email @stillaai with the framework of the idea. The email references a few skills I've built: brainstorm, challenge, narrow, analyze, present options.
While I'm still riding, agents are arguing with the idea, finding flaws, exploring alternatives, building examples, mocking things up, and drafting press releases. I always ask for a polished HTML report to review.
The weird part isn't that AI can write code. That was cute. The weird part is that random thoughts now have a CI/CD pipeline.
Living in the future is still the best feeling of my entire career.
The events of the last 6 months in technology are arguable amongst the most important in human history
The tools now increasingly exist for recursive self improvement of models & agents
We are likely in very early lift off & exponential
Largely unnoticed outside of tech
@t_blom This problem will naturally tend to go away as companies are grown from the start using AI. Then you don't need to extract any domain knowledge from people's heads; it will never have been in people's heads.
"San Francisco is a special place where people who want to do something big can find their people.
If you’re hardcore about startups and technology, it’s the natural destination.
People move their companies to New York or Miami because they want to date, but if you’re serious about startups, you should go to San Francisco." @nico_laqua
Love to hear your thoughts on this @rabois@howard@mignano@t_blom