Series: AI Learnings
Artificial Intelligence is now a daily conversation topic and is in everyone’s mind one way or another. The learning can be simple or steep and complex depending on where you want to take it.
Here is a list of blog posts that I have written on this topic as I learn and try to keep up with this amazing technology landscape which is changing every day. Simply amazing.
Quick Links: Resources for Learning AI | Keep up with AI | List of AI Tools | Local AI | AI Agents | Future of Work
Related Blog Posts on AI
Beyond OpenRouter: What the rest of the market has to offer
Time to revisit The Rise of the Enterprise Token Broker blog post The AI Gateway—the centralized “Token Broker”. I’ll be honest: writing this post feels a little like breaking up with someone you genuinely like. OpenRouter has been part of my daily workflow for two and a half years. It solved a real problem, it…
The Evolution of AI-Native Development
The landscape of software development has undergone a radical transformation in the last few years. As AI evolves from simple autocomplete to autonomous agentic workflows, the tools we use to build software have shifted from passive plugins to active collaborators. 1. The Origins: Codeium and the Autocomplete Era The journey began with Codeium (originally developed…
AI Agents: From Conversation to Action
For the past few years, most people have thought of AI as a chatbot. You ask a question, receive an answer, and the interaction ends there. A new category of technology is changing that model entirely. I have been writing about this for a while — I think my frst post was back in December…
Exploring MiniMax in June 2026
The AI landscape is constantly evolving, and at the forefront of this revolution is the MiniMax series, a family of powerful, efficiency-focused large language models developed by MiniMax, a Shanghai-based AI company. MiniMax models are engineered specifically to excel at high-throughput agentic workflows, long-context comprehension, and complex software engineering tasks. I have been testing MiniMax…
The Era of “No-Code” Productivity: How It Works
Imagine a highly skilled, tireless digital employee sitting next to you. You do not need to teach it Python, you do not need to show it how to navigate APIs, and you do not need to write a single line of code to get it to build a workflow. You just talk to it. This…
Unlocking the NPU: FastFlowLM
How I Bypassed Ollama and LM studio Limitations on my Ryzen AI NPU to Hit 50+ TPS If you recently purchased a modern AI-PC, you bought into a promising vision: a dedicated, cutting-edge Neural Processing Unit (NPU) sitting right inside your silicon, designed to stream large language models (LLMs) smoothly without draining your battery or…
Fully Local Hermes Agent Stack on my Ryzen AI
I have been using Agent Zero, but after watching the many reviews, I got curious about Hermes and decided to give it a try as a container on my Ryzen AI PC. Running autonomous agent architectures completely locally on consumer hardware is the absolute frontier of modern AI engineering. Moving from terminal-centric frameworks like Agent…
Beyond the Chatbot: Google I/O 2026 Updates
Everything You Need to Know About Massive Gemini Overhaul If you’ve been treating AI like a highly advanced search engine or a neat copyeditor, Google just drew a massive line in the sand. At Google I/O 2026 (May 19 through May 20, 2026), the narrative completely shifted. The era of passive, text-in, text-out chatbots is…
Prompt Engineering Era Is Officially Behind Us
Here is your comprehensive, fully revised, and complete blog post. For years, the discourse around Artificial Intelligence was dominated by the idea of the “Prompt Engineer”—the person who spent their time hunting for the exact combination of words, trigger phrases, and formatting tricks to coax a brittle model into producing a decent answer. If you…