s4293918

Wow interesting usecase for chaining results from multiple agents together rather than a single prompt. Would definitely use this for my workouts. I used to use an app WL Analysis to measure heavy lift form, I'm sure there's better ways to do that with LLM these days.

What do you think about every single employee at the company being an engineer and picking up a domain or two (finance, accounting, digital marketing, support, sales)? The founder of Telegram talks about how he just has a company with 30 engineers and no other staff.

At what point do you think it starts to stop working?

What do you think about every single employee at the company being an engineer and picking up a domain or two (finance, accounting, digital marketing, support, sales)? The founder of Telegram talks about how he just has a company with 30 engineers and no other staff.

Why is the siloing so important do you think? I think with all the use of LLMs now, entire functions or multiple functions can be done by 1 person. Those people can get a lot of task and skill variety in their work.

N8n is pretty powerful in that you can pipe Kafka streams into there for webhook trigger functions, separate postgres DBs can be set up for non-eng and also all the production API endpoints can be called from there in a tracable way.