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Writing and mumblings

How Should We Choose Agent Frameworks and Form Factors?

This is part of the Context Engineering Series. I'm focusing on agent frameworks because understanding form factors and complexity levels is essential before building any agentic system.

What Do We Actually Mean When We Say We Want to Build Agents?

Field note from a conversation with Vignesh Mohankumar, a successful consultant who helps companies navigate AI implementation decisions. Vignesh and I are both AI consultants helping companies build AI systems—he focuses on implementations and workflows, while I help with overall strategy and execution.

When companies say they want to build agents, I focus on practical outcomes. What specific functionality do you need? What business value are you trying to create?

How Do We Prototype Agents Rapidly?

This is part of the Context Engineering Series. I'm focusing on rapid prototyping because testing agent viability quickly is essential for good context engineering decisions.

If your boss is asking you to "explore agents," start here. This methodology will give you evidence in days, not quarters.

Most teams waste months building agent frameworks before they know if their idea actually works. There's a faster way: use Claude Code as your testing harness to validate agent concepts without writing orchestration code.

What Is the Context Engineering Series for Agentic RAG Systems?

I've been helping companies build agentic RAG systems and studying coding agents from Cognition, Claude Code, Cursor, and others. These coding agents are probably unlocking a trillion-dollar industry—making them the most economically viable agents to date.

This series shares what I've learned from these teams and conversations with professional developers using these systems daily, exploring what we can apply to other industries.

Related Series

Coding Agents Speaker Series: Deep insights from the teams behind leading coding agents including Cognition (Devin), Sourcegraph (Amp), Cline, and Augment. While this Context Engineering series focuses on technical implementation patterns, the Speaker Series reveals strategic insights and architectural decisions.

RAG Master Series: Comprehensive guide to building and scaling retrieval-augmented generation systems. Context Engineering principles directly enhance RAG implementations—structured tool responses and faceted search are foundational RAG optimization techniques.

Why Is Context Engineering the Future of RAG?

The core insight: In agentic systems, how we structure tool responses is as important as the information they contain.

This is the first post in a series on context engineering. I'm starting here because it's the lowest hanging fruit—something every company can audit and experiment with immediately.

The $100M Money Models: The Complete Report

This is my study notes from the live event https://youtu.be/6_CCutkM11 given by Alex Hormozi.

The $100M Money Models: The Complete Report

Foreword: The Event That Broke the Internet (and World Records)

On August 20, 2025, Alex Hormozi hosted a live event to launch his third book, $100M Money Models. More than a simple book launch, it was a masterclass in business scaling, monetization, and a live demonstration of the very principles he teaches. With Guinness World Records judges present, the event aimed not just to educate but to make history.

This report is a structured and comprehensive summary of that event. It captures the core teachings, frameworks, case studies, and offers presented, transforming a live stream into a timeless manual for entrepreneurs. It is designed to be a definitive guide to the concepts that have allowed Hormozi to build a portfolio of companies under Acquisition.com that generated over $250 million in revenue in 2024.