Agentic Architecture
Understanding Generative UI
A Layered Walkthrough of the Generative UI paper everyone is talking about
Anup Jadhav
I'm an AI and Software Engineer with 20+ years of technology leadership experience, currently focusing on Generative AI and Agentic AI architectures. I specialize in developing Agentic AI systems that solve complex business problems.
LLMs develop distinct trading personalities when given real money
Six LLMs each received $10,000 to trade perpetual futures with zero human intervention, and Claude Sonnet 4.5 almost
AI Agents
Senior Developers Are Better at Using AI Agents
Experience matters more than prompt engineering. Senior developers outperform juniors with AI agents because they have decades of pattern recognition. They know what good code looks like, what to ask for, and when the AI is wrong.
pgvector doesn't scale
It’s funny how engineers (myself included) assume that if you can store vectors in Postgres, you should. The logic
TIL: How Transformers work
If you want to actually understand transformers, this guide nails it. I've read a bunch of explanations and
Fine-Tuning makes a comeback
Fine-tuning went from the hottest thing in machine learning to accounting for less than 10% of AI workloads in just
How to read research papers
Most engineers read research papers like blog posts, expecting instant clarity. That’s why so many give up halfway through.
Agentic Architecture
Eliza Redux: A Real-Time Voice AI Crisis Support Agent
I built a crisis support voice AI Agent in roughly 90 minutes at a voice AI hackathon and won. Here&
AI Browser
Atlas Unshrugged
ChatGPT Atlas vs Perplexity Comet: Real-World AI Browser Showdown
When OpenAI announced Atlas, I was curious. I've used
Choosing an LLM Is Choosing a World-View
Some LLMs lean left. Others lean right. The Anomify study shows that mainstream models are not neutral arbiters of truth,
Reasoning LLMs are wanderers rather than systematic explorers
It turns out that when we ask reasoning capable models such as the latest LLMs (GPT-5 family, Claude Opus and
AI Strategy
Stop Planning Your AI Strategy and Start Running Experiments
Earlier this year, I watched a Fortune 500 financial services company spend $4 million and eight months on their AI
Introducing AI Engineering Premium
When I started this newsletter, my goal was simple: to explore how AI systems are actually built. Over time, it’
Horizon Length - Moore's law for AI Agents
This post from LessWrong critiques the idea of “horizon length” (a benchmark from METR that ranks tasks by how long
The boring secret to building better AI agents
Andrew Ng pointed out something interesting: the single biggest factor in how fast teams build AI agents isn't
Representation Engineering with Control Vectors
There's this technique called representation engineering that lets you modify how AI models behave in a surprisingly effective
RAG
Rethinking RAG: Meta’s REFRAG
For the past few years, retrieval-augmented generation (RAG) has been the workhorse architecture for grounded LLM applications. You retrieve relevant
Nobody Knows How to Charge for AI
I've been watching the AI SaaS pricing chaos unfold over the past year, and honestly, it's
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