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
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…
Digital Coworkers: The New AI Teammates for Work
The workplace is moving beyond chatbots and into a new category of software: digital coworkers. These are AI systems that do more than answer questions; they can execute background tasks, manage files, coordinate workflows, and keep working on complex jobs with less step-by-step prompting. What makes this shift important is simple: instead of asking AI…
LiteLLM – To Centrally Manage Multiple LLM Providers
There was a time when choosing an LLM provider was simple: you grabbed an OpenAI API key, plugged it into your environment variables, and started building. But the landscape has fundamentally shifted. Today, building production-ready AI agents or managing complex enterprise workflows requires navigating a sprawling, fragmented ecosystem. On any given day, your architecture might…
The Rise of the Enterprise Token Broker
As enterprises scale their AI operations from experimental “playgrounds” to full-scale agentic workflows, a new bottleneck has emerged: Token Controlling and API Key Chaos. With teams of 6–10 developers or automated agents hitting multiple providers (OpenAI, Anthropic, Gemini) and local servers simultaneously, managing individual accounts is no longer viable. Enter the AI Gateway—the centralized “Token…
Cloud AI vs Local AI – Cost Comparision
Back in 2024 I wrote a blog post: How Much Does It Cost to Operate AI ChatBots? As we move into the new era of the token economy, the conversations, about tokens costs and power are very much part of the story. A useful model must account for real model pricing, utilization, infrastructure, performance, and…