A weekly AI publication for builders
My job as a CTO changed overnight.
I'm Keith Eddleman — nearly 30 years in enterprise tech, now going all-in on practical AI. Every week I share the proof-of-concept builds, the production failures, and the real decisions behind AI adoption at scale. No hype. No theory. Just what works.
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“Life is not about the pursuit of happiness, but the happiness of pursuit.”
— Tony Hsieh, founder of Zappos

About the Author
Keith Eddleman
AI Innovator · Enterprise CTO · Builder
Nearly 30 years building data and marketing technology at enterprise scale. I've taken more proof of concepts from napkin sketch to production deployment than I can count — and I've killed just as many that deserved killing.
I've been CTO at Q1Media since 2012, where we execute some of the most complex digital media buys on the internet. My greatest accomplishment there is building our Digital Media Operating System — an end-to-end console that runs our entire company from a single point of truth, from lead gen and prospecting all the way through to billing. More than $300 million in media spend has flowed through that system. That's the kind of practical, large-scale platform work that informs everything I write about AI.
Outside of Q1Media, I'm always building something. AI platforms, autonomous agents, proof of concepts that sometimes turn into real products. You can see what I'm working on over on the Projects page — and I'd love to hear what you think. Leave a comment, tell me I'm wrong, or share what you're building. That's what this is for.
Based in Austin, TX. The kind of person who texts his son about code at midnight and considers that a good Tuesday.
What You Get Every Week
Proof of Concept to Production
I take AI ideas from napkin sketch to working system and document every decision along the way. Architecture, tooling, cost, tradeoffs — the full picture.
Practical AI for Enterprise
Not toy demos. Real applications in real companies — agent automation, infrastructure decisions, and the integration patterns that actually survive production.
What's Next (Before It's Obvious)
B2A platforms, agent-native infrastructure, the death of per-seat SaaS — I cover the shifts while they're still emerging, not after everyone's already talking about them.
Past Issues
Issue #24 · Jul 29, 2026
Workflows Are the Key to AI ROI
Enterprise AI fails when it demands new behavior. Inject AI into the workflows your teams already run — at the exact bottleneck — and ROI shows up in weeks, not years.
Read Issue →Issue #23 · Jul 29, 2026
79% Think They're Winning at AI. Is it true? (Stats Inside)
The stats between how well companies think they're doing with AI and how well they're actually doing show an industry-wide delusion. 74% of executives admit they've overstated confidence in their AI strategy. Here's the pattern that separates the 1% from the 79%.
Read Issue →Issue #22 · Jul 29, 2026
The SaaSpocalypse: $234B in Enterprise Software Is About to Get Killed by Agents
Gartner just put a number on the knife at the neck of the SaaS industry: $234 billion in enterprise software spending at risk from agentic arbitrage by 2030. Every login-screen product is now optional. Here's what survives.
Read Issue →Issue #21 · Jul 29, 2026
The Botsitting Tax: Your AI Is Costing You 6.4 Hours a Week
The average knowledge worker spends 6.4 hours a week feeding AI context, checking outputs, and fixing mistakes. Meanwhile 42% save 8 hours a week — a full workday — and 66% have no idea what to do with the time. The real ROI story of enterprise AI in 2026.
Read Issue →Issue #20 · Jun 30, 2026
Distribution is the Hardest Part Now — Not Developing Tools
Software used to take days, weeks, months. Now it takes seconds, minutes, hours — which means building isn't the moat anymore. Being seen is.
Read Issue →Issue #19 · Jun 10, 2026
{{company}} is officially a start-up. All companies are.
Every company is now a startup because the tech stack is obsolete. That makes your executive team a founding team — whether they like it or not. CRMs, BI, BDR and even typing all dead by end of 2026.
Read Issue →Why Listen to Me?
I don't have a podcast studio or a blue checkmark. I have production deployments, broken builds, and a terminal that's open right now. Here's what I bring to the table:
Written for:
Got a war story? I want to hear it.
If you're building with AI and have a story worth telling — a proof of concept that became production, a migration that went sideways, a tool that changed your workflow — I want to feature it. No ghostwriting. No sponsored takes. Your name, your experience, your words.
You made it this far. You're clearly my kind of reader.
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