How This Started
It began as self-defense. I needed to track AI developments for my own work — new models, enterprise deployments, cost benchmarks, security frameworks. So I built a system to monitor the signal and filter out the noise.
A few friends asked if I could send them my weekly summaries. "Just the highlights," they said. "What actually matters."
Word spread. Those friends forwarded to their networks. Within weeks, I was sending curated AI insights to 22 people — all through personal referrals. AI enthusiasts who needed to understand what actually matters without wading through the hype.
That's when I realized this should be a real newsletter. Not a side project sent to friends, but a proper publication open to anyone who values depth over clickbait. So I built THE D[AI]LY BRIEF — twice-weekly deep dives into enterprise AI, backed by 30+ years of building software at scale.
What You'll Find Here
- Real benchmarks — not cherry-picked marketing numbers
- Cost analysis — what it actually costs to run AI at scale
- Implementation insights — lessons from deploying in production
- Vendor comparisons — unbiased, data-driven evaluations
My Approach
I test everything I write about. If I'm comparing models, I run the benchmarks. If I'm discussing a tool, I've deployed it in production. If I don't have first-hand data, I say so.
I also talk to peers across functions — CIOs, CFOs, sales leaders, operations directors, engineering heads. Their experiences inform what I write, though I keep specifics confidential. The goal: help you make better decisions about AI in your business.
On Using AI to Write About AI
Full transparency: I use AI tools to help research and write these articles.
AI technology is evolving faster than any one person can track manually. There are dozens of product launches, research papers, and enterprise deployments every week. To keep up and deliver timely, comprehensive analysis, I use AI to help with research, drafting, and synthesis.
But here's what that means in practice: the ideas, perspectives, analysis, and conclusions are mine. I decide what matters, what the business implications are, and what you should pay attention to. AI helps me write faster and cover more ground — it doesn't decide what I think or what I publish.
Think of it like having a research assistant who can scan thousands of sources and draft initial outlines. I review everything, add my analysis, and rewrite until it reflects what I'd say if we were talking over coffee.
This approach lets me publish twice a week with depth and accuracy. Without AI assistance, I could probably manage one article every two weeks. The choice is between frequent, AI-assisted deep dives or infrequent manual posts. I chose the former because you benefit from timely insights.
Who This Is For
You're a business leader — engineering, sales, finance, operations, legal, marketing — or anyone who needs to understand AI without the hype. You value data over opinions. You need insights you can act on immediately.
If that's you, subscribe. I send deep dives every Tuesday and Thursday — no fluff, just signal.
Get In Touch
Hit reply on any email, or find me on LinkedIn or Twitter/X. I read everything.