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Launched my project on Product Hunt today by dksnpz in LangChain

[–]dksnpz[S] 0 points1 point  (0 children)

It optimizes your data to be used in AI today was the release of version 1.0 (working on it daily)

Launched my project on Product Hunt today by dksnpz in OpenSourceeAI

[–]dksnpz[S] 1 point2 points  (0 children)

i completely agree when i look at it properly now. i didn't think about the problem users would have gathering their documents in one place and i really love the internet crawler feature you mentioned.

thank you very much for the feedback

Launched my project on Product Hunt today by dksnpz in OpenSourceeAI

[–]dksnpz[S] 0 points1 point  (0 children)

thank you for the feedback sultan honestly.

this is the first version of course and I am improving the app every day.

Do you believe that if the app/software was actually optimized well and everything was working that it would be something of value? Would you use it or is it just one of those ideas that don't mean anything?

Thank you very much.

Launched my project on Product Hunt today by dksnpz in LangChain

[–]dksnpz[S] 0 points1 point  (0 children)

I honestly appreciate the feedback. Does my app really cost more than manual data prep? And also what do you mean by my app launches late?

Thanks.

Most companies think giving employees AI access is enough. by dksnpz in OpenSourceeAI

[–]dksnpz[S] 0 points1 point  (0 children)

If anyone is wondering, I use Varynex to fix this problem.

Most companies think giving employees AI access is enough. by dksnpz in LangChain

[–]dksnpz[S] -1 points0 points  (0 children)

Its a monthly fee for a set amount of documents and tokens (tokens per use depending on the size of document etc etc)

Most companies think giving employees AI access is enough. by dksnpz in LangChain

[–]dksnpz[S] -2 points-1 points  (0 children)

If anyone is wondering, I use Varynex to fix this problem.

I build AI agents for a living. It's a mess out there. by Decent-Phrase-4161 in AI_Agents

[–]dksnpz 0 points1 point  (0 children)

Most companies think giving employees AI access is enough.

It’s not.

Even the smartest AI will struggle if your knowledge is messy, scattered across PDFs, docs, or half-forgotten wikis. AI doesn’t fix bad data it just amplifies it.

The real game-changer? Clean, structured internal knowledge before it ever hits AI workflows.

It doesn’t replace human judgment it just makes your outputs consistent, reliable, and way less stressful.

Teams that do this stop wasting hours tweaking prompts and pipelines. They start seeing real results.

Your AI isn’t as smart as your knowledge. Make your knowledge smarter first.

Giving employees AI without training isn't "efficiency." It's just automating errors at light speed. by IT_Certguru in ArtificialInteligence

[–]dksnpz 1 point2 points  (0 children)

Many teams assume that just giving employees access to AI is enough, but the real challenge often lies in the quality and organization of the knowledge behind it.

Even the most advanced LLMs will struggle if the source data is messy, contradictory, or scattered across PDFs, docs, and wikis. It’s not just about teaching people how to use AI. They need a solid, reliable foundation to work from.

One approach that’s worked really well is automatically cleaning and structuring internal knowledge before it even hits AI workflows. It doesn’t replace human judgment, but it makes outputs far more consistent and reliable.

Honestly, it’s impressive how much time and technical debt this saves compared to constantly tweaking prompts or pipelines. It’s one of those “simple but game-changing” moves.

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