Thoughts on AI,
Automation & Work
No fluff. No hype. Just practical insights from teams shipping AI into production.
Latest Articles
From Prototype to Production: The Engineering Behind Scalable AI Workflows
Your proof-of-concept worked beautifully. Now it needs to handle 50,000 requests per hour without breaking. Here's how we approach that problem.
Why Template-Based Content Generation is Holding You Back
Fill-in-the-blank AI tools are everywhere. But the organizations creating real competitive advantage are doing something different entirely.
Practical AI Security: What Engineering Teams Actually Need to Know
Forget the theoretical threats. Here are the security considerations that matter for teams shipping AI features into production.
Calculating AI ROI: Beyond the Hype Metrics
Vanity metrics make great press releases. But when the CFO asks what AI actually delivered, you need better answers.
The Team AI Adoption Playbook: Lessons From 50 Enterprise Rollouts
Technology adoption is 20% technology, 80% people. Here's what we've learned about the human side of bringing AI into teams.
Prompt Engineering Isn't Magic-It's System Design
Stop treating prompts like incantations. The teams getting consistent results think about them as interfaces, not spells.
When Not to Use AI: A Framework for Saying No
Every tool has limits. Here's how to recognize when AI isn't the answer-before you waste time and money finding out.
Small Models, Big Impact: Why Bigger Isn't Always Better
The race for larger models misses a crucial point: for most business applications, smaller models win on speed, cost, and practical deployment.
Building Trust With AI Outputs: From Skepticism to Confidence
Your users don't trust AI. Here's how to earn that trust incrementally-and why transparency beats perfection.
AI Customer Support That Doesn't Make Customers Hate You
Most AI customer service is terrible. Here's how to implement it in a way that actually helps people-and saves your team real time.
Knowledge Management in the AI Era: Your Docs Are Training Data Now
Internal documentation isn't just for humans anymore. Here's how to organize your knowledge base so AI systems can actually use it.
AI Legal Compliance: What Non-Lawyers Need to Know
Regulations are coming. Here's a practical guide to AI compliance for teams that want to stay ahead without hiring an army of lawyers.
Stay in the loop
Get practical AI insights delivered to your inbox. No spam, just substance.