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This is a great setup. I was building agents in 2023 with email addresses, and it was very effective for onboarding tech laggards to generative AI. It also resulted in very low durable use rates. Users would onboard then stop using quickly. Christenson ftw again.

One thing that can be handled much better today than back then was MIME / attachment types and having agents assemble "fancy" email structures irt.

https://github.com/realityinspector/ATAT


I haven’t done attachments yet, but that could be useful.

I think to really make this work You really have to know what you’re doing with your tasks and your agents because you have to be able to manage them from a distance with sort of minimal context just the email updates, which are summaries so it’s very hands off…so you either need the project you’re working on to fit that or you have to be really deep in your project so that you can manage it from a distance. It just for me is the correct separation of concern where like the agent is handling the details and they’re hidden from you.

I don’t see this as a gentle introduction to AI for people who have no idea what they’re doing about it or about their task. I see this is more like the natural extension or progression for power users who don’t want to waste time with their terminal when they don’t need to.


pemmican is pretty easy to make if you modify to a ground texture, grind the meat, and accept that it's not "traditional" and refrigerate it


I don't mind if it's not traditional – I'm not going to use bison after all ;) Though there were a variety of meats used. But ideally I'd have something I could take camping without refrigeration.


nice work. dealt with same issue during helene. would be interesting to do things like convert to morse code or convert to modem-over-walkie low baud rate.

I built this repo as a Helene response repo, trying to use an llm to help get resources over text message. https://github.com/realityinspector/supply_drop_ai

wonder if you could get to news over sms, use an llm to compress to minimum viable text?


amazing


who's gonna train a model on these?


I would be interested in this as well, but would love it to be more like openapi protocol, with an agents.md.


yeah fastapi + htmx is very effective.


excited to try out. flask <> coding agents work really well together.


cool idea will check it out


very cool


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