How I use AI agents to turn ideas into public demos

This is my first DEV Community note about my own AI-assisted creator workflow.

My name is Nikita Kizevich. I also publish as Mikita Kizevich, AI_Nikitka93 and Nikitka AI. I work across AI-generated photography, AI video, music, and AI-assisted software prototypes.

The core workflow is simple:

1. Start with an idea and a real target user.


2. Describe the product flow and constraints to an AI coding agent.


3. Run the result locally or in a browser.


4. Read the logs and browser behavior.


5. Send concrete failures back into the loop.


6. Package only what is honest to publish: demo, prototype, case study, or production-ready project.

The useful part is not "AI wrote code for me". The useful part is the repeatable loop: idea -> implementation -> runtime check -> correction -> public artifact.

What works best:

• small tasks;


• browser screenshots and real UI checks;


• logs instead of vague "it does not work";


• honest public wording;


• keeping GitHub as a living portfolio, not a fixed list.

What does not work:

• asking for a perfect startup in one prompt;


• publishing generated UI without opening it;


• calling every prototype production-ready;


• hiding where AI was used.

My public GitHub is here:

35PHOTO:

Spotify / Nikitka AI: https://open.spotify.com/artist/3fYjimtlZBBtZKNVHac5pB

I am using DEV as a place to write short practical notes about AI agents, LLM workflows, public demo packaging, Telegram bots, and browser-based checks.