Thinking out loud on AI implementation.
Practical observations from building agentic workflows for teams and professionals.
The Playbook Every Owner Should Try Before Hiring Someone Like Me
Most owners use AI like they hired a genius and forgot to onboard them. The playbook I take Solo clients through before building anything custom: eleven moves to push chat-box AI further, plus the shift when chat stops being the right surface.
The Real Reason Your Team Can't Agree on AI
Walk into most SMBs and the CEO, marketing lead, IT lead, and top operator are each looking at a different technology when they say "AI." That's the real reason your team can't agree, and what fixes it.
The Four Levels of AI Adoption (And How to Know Where You Are)
A practical map for business owners and operators who want to know what's actually possible with AI right now, and what comes next. Organized by business outcome, not tool sophistication.
Mythos Is Already Obsolete
Mythos broke every AI benchmark on record a few days ago. The hardware and algorithm curves underneath it are compounding multiplicatively. By the time Trainium 4 ships in 2027, Mythos will look like GPT-4 does today. Here is the trajectory, in plain terms.
The Model You Can't Use Tells You Everything About Where AI Is Heading
Anthropic built the most capable AI model in history, then locked it down. What the benchmarks, the hardware pipeline, and the open source convergence signal about where AI capability and cost are heading over the next 18 months.
The Part That Compounds Is Not the Model
An executive coach drowning in post-meeting admin got a complete AI workflow built in two weeks using standard-tier tools. No enterprise contract. No six-figure implementation. Here is why the cost of waiting is higher than the cost of starting.
What I Learned Setting Up AI for 5 Very Different Business Owners
Most AI adoption advice assumes people haven't tried yet. The five business owners I set up had all tried. That was the problem.
Why AI Doesn't Stick (And What Actually Fixes It)
Most AI rollouts fail the same way. Not because the technology is bad, but because of how they're introduced. Here's what the pattern looks like, and what actually works.