I build AI into how your business actually works.
Most companies are adopting AI: adding tools, running pilots, talking about transformation. That isn’t integration.
Integration is when AI changes how your business actually works: how decisions get made, how operations run, how value gets created. I build those systems.
Integration is not adoption.
Every company is “doing AI.” Most of them are doing it wrong.
Adoption is adding a chatbot to your website. Buying enterprise seats for an LLM. Sending your team to a prompt engineering workshop. It looks like progress, but nothing about how the business runs has actually changed.
Integration is different. Integration means AI is load-bearing: your organization would notice if it stopped running. It changes how you make decisions, not just how you draft emails.
The companies that understand this distinction in the next 12–18 months will have a structural advantage. The ones that don’t will wonder what happened.
Read more essaysWhat I’ve built.
A selection from the ledger: client systems, products, and experiments, anonymized to protect the people who paid for the work.
See all the workThe AI isn’t smarter than the analysts. The system I built knows what to look for.
6 tools · 3 businesses · one weekend · built on spec
A sales intelligence system that learns from every call
Paste a potential customer's website and, two minutes later, the salesperson has a short, fact-checked prep sheet — who they are, whether they're worth pursuing, and how to approach them. Paste the call transcript afterward, and the system gets smarter for the next one.
Voice-of-customer intelligence, on autopilot
It reads what customers say in their own words — across forums, review sites, online groups, and video — and watches what competitors are quietly doing, then writes it up. Every week, on its own, instead of once a year by hand.
Getting cited by the AI that answers for you
When someone asks ChatGPT, Perplexity, or Google's AI for the best tool in your category, does it name you? This measures that — and shows exactly where you're invisible and how to fix it.
An AI operations layer for a business too small to staff one
Scheduling, marketing, sales follow-up, technician training, ads, and profit analysis — AI woven through the daily running of a small, owner-operated field-service business.
Assess. Build. Embed.
Monthly retainer. No SOWs that take longer than the project. No six-month discovery phases.
Assess
I find where AI creates the most leverage in your operations. Not where it's trendy. Where it compounds.
Build
I build the system. Working software, not a slide deck. You'll see it run before you see an invoice.
Embed
I make sure it sticks. Training, documentation, iteration. The system becomes yours, not mine.
A marketer who learned to build.
I’m a marketer and product builder who learned to code AI systems. Not an engineer who picked up business language.
That means I start with the problem, not the architecture. What decision are we trying to improve? What process is worth automating? What leverage are we actually creating? The technology comes after the answers.
The first time I watched an AI work through a complex problem for an extended stretch — not just answer a question, but think — I realized it wasn’t a tool. It was a thinking partner and a build partner at the same time. That was a year ago. It’s been all I’ve thought about since.
More about meHow I think about this.
Frameworks, mental models, and observations from building real systems. No hype.
AI Integration Is Not AI Adoption
Most companies confuse adding AI features with actually integrating AI into their operations. The difference matters.
Read essayVoice-of-customer intelligence, on autopilot
It reads what customers say in their own words — across forums, review sites, online groups, and video — and watches what competitors are quietly doing, then writes it up. Every week, on its own, instead of once a year by hand.
Read the storyBuilt for people. Also built for their AI.
Your AI can read this site. It can’t read most others.
Soon the first visitor evaluating you won’t be a person. It’ll be the agent they sent ahead. BetterStory exposes a clean capability map so AI can understand the work, cite the proof, and find the next step without guessing.
Points your assistant at betterstory.co/llms.txt, the structured capability map behind this site.
Or inspect it here. This terminal reads the same content source as the generated agent files, so the on-page demo and the machine surface stay aligned.
BetterStory agent shell - type "help"
https://betterstory.co/llms.txt https://betterstory.co/llms-full.txt https://betterstory.co/.well-known/agent.json https://betterstory.co/.well-known/api-catalog https://betterstory.co/.well-known/mcp/server-card.json https://betterstory.co/m/index.md
If you’re past “we should do something with AI.”
If you’re ready to integrate intelligence into how your business actually works — not just how it talks about working — let’s have a conversation.
48-hour response · No pitch decks · No cold outreach