llm that combines three things:
rag libraries for grounded memory,
web-connected retrieval for fresh information,
and siloed system prompts
all of these for each individual chat
offering two unique solutions relative to popular llms with my app...
one: if i want one ai to act like a linkedin ghostwriter, another to act like an investing analyst, and another to help with fitness, those should not all share the same behavior.
my app lets each chat have its own role, rules, and response behavior. system prompts are not spread across chats.
two: most ai apps either make you repeat yourself, relying on chat history or some opaque memory system you cannot control with full autonomy.
my app lets you see exactly what the ai knows, add to it, edit it, delete it. my app uses rag over that controlled memory layer.
so the idea is simple:
create focused ai chats you have complete control over... www.aimry.site
lmk if ya have feedback
offering two unique solutions relative to popular llms with my app...
one: if i want one ai to act like a linkedin ghostwriter, another to act like an investing analyst, and another to help with fitness, those should not all share the same behavior.
my app lets each chat have its own role, rules, and response behavior. system prompts are not spread across chats.
two: most ai apps either make you repeat yourself, relying on chat history or some opaque memory system you cannot control with full autonomy.
my app lets you see exactly what the ai knows, add to it, edit it, delete it. my app uses rag over that controlled memory layer.
so the idea is simple:
create focused ai chats you have complete control over... www.aimry.site
lmk if ya have feedback
most popular LLMs make you repeat yourself, relying on some hidden memory system you don’t really control.
what if you could intentionally commit knowledge to memory, and then you can add/edit/delete any and all parts of it, so you know exactly what your chatbot will reference when speaking to you.
i’m working on this, and trying to make the memory layer itself user-facing.
would you want that, or does anyone have any thoughts for me?
i know base44 defaults to automatic, but should I manually set a specific llm for better responses? i have a hunch it defaults to cheapest....
no explanation necessary, just paste the link.
i think feedback threads fail because people expect too much. just give one piece of feedback and get just one in return.
Tips so your comment doesn’t get removed by moderators:
Tips so your comment doesn’t get removed by moderators:
I think my app has the potential to be used for consumers to organize their life and work, but also to be used by businesses to store data (i.e. utilizing files section to store SOPs and create a smart AI for their company).
What do you think? www.aimry.site
See title
See title.
Looking for detailed review on my app- SiteSignal.
I don't want to explain it, because part of the feedback I'm looking for is product clarity. Please let me know your thoughts on:
What makes you hesitate to try it?
What makes you hesitate to my the report?
I'll give you whatever feedback you're looking for in return!
