the next massive consumer ai opportunity is making personal agents feel as intuitive as an iphone. this is deeply important because this is the new software layer for everyday life. most ppl do not want to configure workflows, manage prompts, route models, or think about agents at all. they want software that just works & the winning products will hide almost all of the complexity with taste incl. context, memory, & orchestration. e.g. there’ll be baseline personal agents that come alive out of the box which are already understanding your context, patterns, relationships, preferences, apps, devices, routines, etc. then there’ll be ephemeral agents that spawn dynamically from intent, ambient capture, conversation, location, screenshots, email, calendar, camera roll, whatever. this is the software that assembles itself around the moment just like weather updates based on your location but way more in depth. today even the most state of the art agent products feel like giving normal people shell access to a distributed system. apple won by turning computers from something you operated into something you experienced. personal agents require the same transition. whoever solves this becomes the ambient operating system for human life. small category btw.

i multitask a lot. normally when vibecoding i document every implementation done or process so my ai don’t lose reasoning after trying different approaches. sharedcontext added another layer it preserves the full thinking ,failed attempts, fixes, w/ the final version in one continuous memory. it feels like it had documentation i don’t need to build thx @VittoStack

I like Alan Kay’s design recipe: 1) make structures that can do the hardest thing 2) make it simple to do simple things, using the same structures

This was the result of our conversation in SK/1... The Ss named the EFs, explained in their own words and I helped to write down their thoughts (they are getting a little tired) 😍@LCFaith #ActivatedLearning