Breaking the Rule-Based Ceiling: My Take on the New IRPA Taxonomy

If you’ve ever tried to set up a standard Robotic Process Automation (RPA) bot, you know the pain. You build a perfect flow, and then—boom—the website updates its CSS, a button moves three pixels to the left, and your “digital worker” has a total meltdown. It’s brittle, it’s frustrating, and honestly, it’s not very “intelligent.” … Read more

Debating Itself into Intelligence: My Reproduction of Multi-Agent Consensus Alignment (MACA)

It’s 2:00 AM in Istanbul, and the only thing louder than the wind off the Bosphorus is the cooling fans of my dual RTX 4080 rig. For weeks, I’ve been wrestling with a problem every LLM hobbyist knows too well: inconsistency. You ask Llama-3 a logic puzzle, it gives you a brilliant answer. You ask again … Read more

The Concept: Instructions, Not Just Prompts

The core shift here is moving from “What to draw” to “How to create.” The framework allows for Multimodal Instructions —where you can mix text with reference images, sketches, or even style anchors. In my Istanbul lab, I tested this by feeding my system a photo of a local tea glass (the “Subject”) and a text … Read more

Tuning the Vision: How I Implemented Multimodal Instructions for Better Images

Text-to-Image Optimization – we’ve all been there: you type a complex prompt into a stable diffusion model, and it ignores half of your instructions. It understands “a cat,” but it struggles when you say, “make the cat look slightly to the left, but keep the lighting from the previous frame.” The issue isn’t the model’s … Read more