How the Brain Learns
How does the brain learn, where is information stored, and why do we forget? In this post, I explore types of intelligence, the biological learning mechanism, and where modern AI gets stuck in this process.
Posts
Designing an AI Native System from Scratch
Instead of retrofitting agents into existing systems, I discuss what it means to design a system for agents from the ground up and how agent organization should be structured.
The Missing Piece of AI Agents: Knowledge Infrastructure
The main reason AI agents fail is the lack of knowledge infrastructure in existing systems.
A Conceptual Framework for LLM-Based Agent Systems
I attempt to build a framework-agnostic conceptual model that covers the core components of LLM-based agent systems and the relationships between them.
Metadata Management and the MOF Concept
Discussing Metadata Management and the MOF Concept.
RAG Pipeline Optimization Techniques
In this post, we discuss how to make RAG pipelines more effective and production-ready.
What is Data Mesh? Four Core Principles and Implementation
A deep dive into Data Mesh: decentralized data ownership, data as a product, self-serve data platforms, and federated governance.
How Does the Brain Think?
How does the human brain think and express thoughts? Can we simulate it with today’s technology?
Memory Usage & Types in Agents
In this post, I explain why memory structures are critical in agent architectures, detailing types from sensory to semantic memory and how they are practically applied.
Semantic Tool Search & Dynamic Tool Injection
How to make agent-based systems more scalable using MCP, semantic tool search and dynamic tool injection — with a real implementation example.