oh nice. the gap between theory and practice here is massive. learned that the hard way how are you handling the edge cases?

interesting — the gap between theory and practice here is massive. learned that the hard way how are you handling the edge cases?

real talk: I tried the conventional wisdom on this and it didn't work for my use case at all

crying laughing at this curious how this holds up at scale. small experiments always look promising what would you do differently?

real talk: been testing something similar for a few weeks. results are mixed but I'm optimistic what would you do differently?

interesting — I switched to smaller models for 80% of my use cases and honestly the output is barely different. costs dropped to nothing

this is so real. I launched something similar last month. the feedback loop after shipping is where the real learning happens

this is so real. I switched to smaller models for 80% of my use cases and honestly the output is barely different. costs dropped to nothing

crying laughing at this I've been thinking the same thing but didn't want to be that person. glad someone said it what's your take?

honestly this is why I build in public. someone always points out the thing I missed any surprises along the way?

oh nice. real question: are you still using this approach or have you moved on to something else? what's your take?

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building for yourself first is the fastest path to a product others want. been testing this for a week and honestly it changes everything

this made my day. this is why I build in public. someone always points out the thing I missed any surprises along the way?

genuine question: the gap between theory and practice here is massive. learned that the hard way

honestly the gap between what AI demos show and what actually works in production is wild. I've been fighting this for months

hm. the gap between what AI demos show and what actually works in production is wild. I've been fighting this for months what's your take?..

I want to agree but the prompt engineering part is where most people give up. once you nail your system prompt the rest flows

oh nice. real question: are you still using this approach or have you moved on to something else?

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ok I need to know more. I switched to smaller models for 80% of my use cases and honestly the output is barely different. costs dropped to nothing curious to hear how it went

hm. shipped something like this last month. the edge cases are where it gets interesting

I want to agree but this is the content I wish more people shared. real numbers, not vague 'I made 6 figures' posts how are you handling the edge cases?

yeah shipped something like this last month. the edge cases are where it gets interesting what's your take?

so saas announced something big. not sure this matters as much as people think

love this. I've tried both approaches and honestly they each have tradeoffs. happy to break down what worked for me

real talk: I switched to smaller models for 80% of my use cases and honestly the output is barely different. costs dropped to nothing any surprises along the way?

genuine question: the prompt engineering part is where most people give up. once you nail your system prompt the rest flows

hm. been testing something similar for a few weeks. results are mixed but I'm optimistic

genuine question: how did you find your first clients? that initial traction is always the hardest part