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  Location: Tbilisi/Georgia
  Remote: Yes
  Willing to relocate: Yes
  Technologies: TypeScript, Rust, Haskell, PureScript, LLMs, EVM tooling
  Résumé/CV: https://klntsky.dev/klntsky-cv.pdf
  Email: my username at google's mail service
I'm mainly interested in LLM/AI automation, FP, and DeFi.


People vibe one-off solutions for themselves all the time. They just don't have the desire to productionalize them. Frankly, product knowledge is something LLMs are not that good at


Same. I hate doing mobile coding, but just in the last few months I AI-coded 3 apps specifically for my needs. They'll never get released publicly, because they'd need polish and features that I don't care about personally. They potentially replace some SaaS too.


In context, it sounds like you are saying you used AI to make these three applications?

Why can't AI add the polish and features also?


It can. It's just not needed for my own apps. It would be needed for a public release and I'm just... not interested in that enough. It would cost me time and likely never get enough return.


What did the 3 apps do?

I did the same for one app to give me my speed in MPH as huge text as a HUD in a car


Very specific training app for guitar with spaced repetition, automated message forwarder (all good ones demand subscription), and something very specific to me.


Low code solutions like PowerApps I bang out stuff like this all the time. If your use case is limited enough, it makes lazy developers very productive.


Opensource LLMs are absolutely not on par with gpt-5 for any agentic workflows


Ads aren't added to agentic workflows. Agentic usage of gpt-5 is only available if you're a paying user.


Tool calling I've found takes a bit of work, but Ollama with gpt-oss:20b/120b run on my laptop and work quite well for 90% of the stuff I do.

So it's only a matter of time.


They dont have to be, they just have to be smart enough to remove anything that sounds like a brand from a "good cloud model". This is barely beyond if-else if we start tracking all brands doing the advertising


And for the rest, why not wait a few months until the cheap Chinese model is on par (or better)?

If OpenAI introduced ads to my workflow after all the money I've paid them, there's 0 loyalty or "ethically American" purchase decision vs paying the Chinese.


The average ChatGPT user isn't utilizing agentic workflows.

And even for the people that do, just because an LLM isn't absolutely state of the art doesn't invalidate it from being useful.


the 'start trial' button does not work.


I’m sorry, which one?


autofilled details are terribly wrong. even the name is that of another product


You should probably make a version that is usable as an email filter plugin for mail servers


Ooh, good idea. It started as a question: "How do we make this thing the most private?" and the obvious answer was using offline local device LLMs (e.g. Prompt API/Gemini Nano).

Will poke around and see if there's interest here, thank you!


search is a must here


Indeed. I haven't implemented it because there's only like 30 scripts, and most are mine


Hey, how can I contact you privately?


I followed up via email


https://tool2agent.org/ - guardrails for your AI agent implemented via tool call feedback

https://osint.moe/ - LLM-based app to build research graphs based on goal-directed web search


This is a set of conventions and types that streamline some approaches I came up with while building LLM workflows.

LLM tool feedback systems are under-developed, and the reason for that is the lack of well defined interfaces.

tool2agent is a concrete set of such interfaces to build on top of.

Right now, AI SDK bindings are available.

If you are an LLM workflow developer, take a look at this example of a conversational chatbot:

https://github.com/tool2agent/tool2agent/blob/4cf340f77aa92e...

Here's a more detailed writeup: https://x.com/klntsky/status/1986816754241487251


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