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.
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.
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
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
Pace Layering Framework
I came across Stewart Brand’s pace layering framework because a former colleague and friend, Seb Wagner from Flow Republic,
AI Agents
MCP + A2A: The Protocols Making AI Agents Actually Work Together
I presented this at the AI Engineer meetup in London. It is a short, practical overview of why agent interoperability
AI Agents Are Finally Fixing Real-World Code Security Problems
I came across something genuinely interesting in code security this week: DeepMind’s CodeMender, an AI agent that doesn’t
Data in CSV Format Isn’t Always the Best for LLMs
When you feed a large table into an LLM, the way you format the input can change the model’s
Prompt Engineering vs Context Engineering
From Anthropic: https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents
Prompt Engineering:
Prompt engineering refers to methods for writing and organizing LLM
Why LLMs Confidently Hallucinate a Seahorse Emoji That Never Existed
Ask any major AI if there's a seahorse emoji and they'll say yes with 100% confidence.
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