I donโt enjoy the syntax and tooling we use to building AI pipelines. Langchain/ai sdk/et all have never really felt โrightโ.
No type safety, single language support, prompt is hidden until I buy some observability suite.
So we made a thing
https://t.co/eU06qqQHjK
Work as many hours as you can sustain. for most it caps around 80 hours / week. past it, is unsustainable.
if you're lucky enough to have it be 120+, do it.
we all have one life. don't let anyone shame you one way or the other.
You can work 5 days a week and succeed as a startup.
Mercury has done that from day 0 and we are valued @ $5.2bn 7 years after launch.
I have been an entrepreneur for 20 years and raised 3 kids while doing it.
The point of success is to have a great life not just a startup ๐
I think that 80h is sustainable for most if they truly love doing what they do. at some point it doesn't feel like "work".
sadly, most folks don't find what they truly love to do or what they love to do isn't financially profitable. in that case, i recommend finding the highest financial reward for minimum effort, so you can do what you actually love.
@Scrubghetti yea sadly macos hardware perf counters require sudo permissions, so i had to try, but luckily any actual data all lives in the cloud and only has readonly access.
it was a very successful experiment!
anthropic's workflow feature bills even when you don't use it ๐
big fan of the new workflow feature, but now every other smaller task where i accidentally use "workflow" is just a smidge slower.
Hopefully it lives up! Baml is actually currently best for agentic tasks like taking in a csv and normalizing it or dynamic schemas based on what customers ask for. Your url example is a great one!
Best way is to use this agents.md https://t.co/G1zP8c2KCF
And just describe the problem to an agent and itโll do the rest! Ask is to build some uis and add semantic streaming for extra wow.