
Clear Chain-of-Thought (ClearCoT)
How we implemented philosophical and logical thinking into the core of AI development to eliminate the 'Token Wall' and optimize SLM efficiency.
Analyzing the intersection of logic, machine learning, and human cognition.

How we implemented philosophical and logical thinking into the core of AI development to eliminate the 'Token Wall' and optimize SLM efficiency.

An interactive, highly accurate capacity planning toolkit for AI Engineers, DevOps, System Administrators and Researches. This tool mathematically calculates VRAM for Large Language Models (LLMs), accurately sizes RAM/Disk overhead for Vector Databases, and automatically compiles a complete suggestion of hardware for your workflow.

Why is memory so expensive? While the market discusses RAM and SSD costs, a more subtle shift is occurring in how we deliver memory to digital devices—and what it costs us as humans.

How we trained a custom machine learning model to read the handwriting of poet Milutin Bojić, unlocking full-text search for digital archives.

Raw OCR is not enough. We are building a parallel corpus to train models that clean up the 'noise' in our digital heritage.

Deploying autonomous Serbian AI agents on consumer laptops (8GB VRAM). A complete breakdown of infrastructure, the Agno framework, and fine-tuning Gemma 3.

A case study in reducing Word Error Rate (WER) by ~85% for the Serbian language through targeted fine-tuning and hardware-aware architectural constraints.

Our latest analysis reveals a friction in the cultural heritage sector: rapid personal AI adoption vs. stagnant institutional governance. Here is our protocol to fix it.

The internet is not the sum of human knowledge. We digitized 50 years of local Newspapers archives. This approach can fill the information gap on internet that missing before 1990.