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Owned by Yurii

Chaos to Systems

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Go from AI anxious to AI confident. Learn simple AI workflows for life and business without overwhelm.

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7 contributions to Clief Notes
Testing GPT 5.6 Sol and Remotion
This video was one shotted with GPT 5.6 Sol Ultra + Remotion + HeyGen Avatar + ElevenLabs Voice clone.
I kept running out of quota mid-build, so I built a menu bar app.
I kept running out of Grok, Codex, and Claude quota mid-build without realizing it until something broke. The annoying part was having no single place to see what's left while I'm actually working. So I built Usage Status for myself — a macOS menu bar app that shows usage remaining for each of the AI agent. It reads from your local CLI sessions, shows percentages in the menu bar, and stays out of the way. Click for details. Hide providers you don't use. Reauthenticate when needed. No telemetry. I didn't want to live in terminals just to check usage, so I packaged it properly: tests, DMG installer, in-app updates, then put it on GitHub free. What I learned: personal builder tools only feel worth sharing when they remove a friction you hit every single day. This one did. Free download (macOS): https://github.com/yurii-lgtm/usage-status Curious if this is useful or what provider you'd want added next.
 I kept running out of quota mid-build, so I built a menu bar app.
1 like • 16d
@Bryan Alva Anything I need, I build. So far I finished: - Shopify App for local Jewelry Store for easy content generation and anything they need, I build on top of it - eCommerce pure profit after Ad spend tracker - custom app for iPhone that talks directly to my terminals on iMac. It's only the beginning. Always be shipping 🚀
focus on learning, insights, books, business lessons, and personal growth
What's one book, podcast, course, or lesson that completely changed the way you think about business, money, or life?
1 like • 18d
this is a trading book, but it's really good way of thinking about risk for life and business
1 like • 17d
@Diana Sanger Do not judge a decision only by its outcome. Judge the process, the risk taken, and what could have happened but didn’t.
The folder hierarchy is both...
...the human's control surface and the model's orchestration logic. Per Jake's article, this effectively means that: -As the chosen agent, Claude would read the files, and be the orchestrating agent, per my setup in the files -Claude would then execute using sub-agents, AGAIN, per my setup in the files -Would this in fact also mean that I can technically drill down to the most minute of details, & have Claude execute my setup, to the letter? And so, as the human in the loop, I'm directly responsible for directing any probabilistic AI, to create my vision per the scripted setup in the files, & by this same understanding, am consequently directly responsible for every sub-agents' success as well? i.e. Claude is my co-worker (haha pun intended). Yet in every instance, I am, the deterministic orchestrator. Yes/ no?
0 likes • 18d
The folder hierarchy can absolutely become both: - the human control surface, where you encode intent, rules, priorities, templates, routing, and “definition of done” - the agent’s operating map, where Claude decides what to read, what context matters, and which sub-agents or workflows to run You can drill very deep: folder-level instructions, examples, checklists, guardrails, output formats, handoff rules, review steps. That will make Claude much more likely to execute your setup faithfully. But it still won’t be perfectly deterministic. Claude can misread, skip context, over-apply a rule, or make a probabilistic judgment you didn’t intend. So your responsibility is to design the system, constrain the agent, and verify the output. Yes, you are the orchestrator of the operating environment. Claude is the execution layer. But the execution layer still needs guardrails, tests, review, and correction because it is not deterministic software.
Image Generation Layering
The biggest issue I am having lately with ChatGPT image generation is that when I request text to be over layed its often slightly off. Off enough to show that sloppiness and the text is embeded into the image so the only way to change it is to reprompt. One work around I had was to have chatgpt create the image then I move it into canva and apply the text. I just saw canva can create images with 'magic layers' I am wondering if anyone has come across a method or a tool that can use a model to create an image on 1 layer and then create the text on another layer allowing you to make adjustments?
3 likes • 18d
Hi Bagu, you need JSON. - find example of design, picture or whatever and ask your agent to create a JSON template of the image. - now ask your agent to create a picture with that JSON. - a lot of sloppy text comes from an agent trying to add text on top of the image via code, if this keeps happening, just ask your agent to only use Image LLM to generate full picture.
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Yurii A
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@yurii-a-1620
I build simple AI systems for life and business, then document what actually works.

Active 5h ago
Joined Apr 17, 2026
INTJ
Raleigh, NC
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