Real-world stories about fixing broken processes, taming messy data, and building systems that actually work. No buzzwords, just practical lessons from the trenches.
AI Engineering
OpenClaw: The Architecture Behind the Always-On AI
Exploring how OpenClaw creates a persistent AI assistant experience using an event-driven Gateway architecture rather than a continuously running model.
Kyle Johnson
AI Engineering
Claude Code Isn't Magic. It's a While Loop with Tools.
A deep dive into what's actually happening under the hood of Claude Code: the ReAct loop, the tool system, the hooks, and why understanding this architecture matters more than using it
Kyle Johnson
AI Strategy
Why Backend AI Beats Frontend AI for Enterprise Value
The unsexy, invisible AI implementations that actually drive ROI—and why the flashiest features are often the worst investments
Kyle Johnson
AI Strategy
The Tool-Selection Blindspot Most Data Scientists Still Have
Why the 'simple' traditional ML approach often costs 10x more than the 'overkill' LLM solution—and what it reveals about how we evaluate technology
Kyle Johnson
Analytics
The Most Valuable Resource in Analytics Isn't Data—It's Insights
Why organizations with refineries full of premium insights are watching decision-makers run on empty—and how to fix your broken insights pipeline
Kyle Johnson
Strategy
Your Organization Isn't Ready for AI (And That's Okay)
The uncomfortable truth about AI implementation and why starting with your boring problems is the smartest strategy
Kyle Johnson
Operations
The Hidden Cost of Manual Processes Nobody Talks About
Why that 'quick' manual task is costing you more than you think—in money, morale, and missed opportunities
Kyle Johnson
Analytics
Why Your Organization is Data-Rich but Insight-Poor
The universal struggle of having mountains of data but no clear answers—and what to do about it
