The Art of AI Conversation
SUMMARY: Getting great AI output requires mastering the conversation—using iterative refinement, context, and curiosity instead of one-and-done transactional prompts. Table of contentsSUMMARY:IntroductionThe Shift: From Transactional to TransformationalWhy the...
Using Intent-First Development on a Greenfield Project
Adopt Intent-First Development (IFD) on your greenfield project. Master the 5-pass methodology to build structured, altitude-gated design documentation using any AI assistant.
Applying Intent-First Development on Existing Projects
The cornerstone piece on Intent-First Development argues that AI assistance has decoupled the rate of typing from the rate of reasoning, and the only way to keep the two in step is to make reasoning durable — captured, structured, and read back by future AI...
How to Build Software Without Being a Developer
There is someone you know — maybe you — who has been carrying a vision of a system that should exist. It might be a tool that would solve a real problem in their company, the kind of problem that everyone complains about and nobody fixes because the people with the...
AI – Evolution or Revolution?
SUMMARY: Organizations achieve sustainable enterprise artificial intelligence success by adopting a strategic, evolutionary approach built on a solid data foundation rather than attempting risky, revolutionary infrastructure overhauls. Incremental artificial...
Beyond the Chatbot: Why 2026 is the Year of the “Agentic” ROI on Databricks
SUMMARY: Organizations can achieve measurable financial returns and automate complex workflows by transitioning from passive chatbots to autonomous, agentic AI systems utilizing the Databricks Data Intelligence Platform. Databricks Mosaic AI orchestrates compound...
Why Intent Matters More Than Code
There is a quiet pattern in every AI-collaborative codebase we’ve worked on. The code arrives faster than ever. The pull requests are clean. The tests pass. And six weeks later, no one can quite explain why the system is the shape it is. We used to think the...
2026: The Data Reckoning—Why Legacy Data Warehouses Cannot Survive the AI Era
SUMMARY: Organizations must abandon rigid legacy data warehouses and adopt unified Lakehouse platforms to successfully manage the massive volumes of unstructured data required by modern artificial intelligence. Artificial intelligence and agentic systems rely heavily...