Tag: AI image generation
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Async AI Image Generation with Cloudflare Workers & Make.com
How I solved the 40-second timeout problem by splitting content automation into three decoupled stages — without rewriting a single Make.com scenario. May 2026 · 10 min read Background A few months ago I wrote about automating WordPress article publishing and social media distribution with Make.com and LLMs . The pipeline was working great: read a recipe…
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Building a Gluten Label Scanner on Cloudflare Workers AI (Gemma 4)
I started this project because I wanted to test the newly introduced Gemma 4 model with Workers AI stack and compare it against my older production-style application built on Next.js + Vercel + Google API (Gemini 3): https://gd.marketscanai.com/en. I built a production-ready gluten label scanner using Cloudflare Workers + Workers AI, with the @cf/google/gemma-4-26b-a4b-it model…
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I Built a Browser Game in 2 Hours on a Free Weekend – No Coding
Last weekend I had some free time and a wild idea: what if I built a fully playable browser game from scratch — design, code, assets, and deployment — in a single afternoon? No team. No budget. Just a concept, a few AI tools, and roughly two hours. The result is Steki Kuby — an…
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AI Experiments in Supermarket Price Tag Recognition
Exploring Snowflake for Image Processing In January, I began experimenting with Snowflake Document AI to process supermarket price tag images. The goal was to extract structured product data from shelf photos, leveraging the scalable infrastructure and built-in machine learning capabilities of Snowflake. While the platform offered promising tools for document analysis, my early results showed…
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From Novice to Music Clip Creator: Unleashing Your Creativity with AI in Just a Weekend
Last weekend brought several days off and, with rain pouring for two days straight, I found myself indoors-an ideal opportunity to play with creativity and explore the world of AI-powered music video creation. Why AI Is a Game-Changer for Creatives Using AI in coding or project management is like using a harvester instead of harvesting…

