AI Education & Consulting
Teach your team to think with AI.
Workshops, coaching, and hands-on training in prompt engineering, AI agents, Claude's capabilities, and building real workflows — so your team stops using AI like a search engine and starts using it like a senior colleague.
Private & team sessions available · Remote and on-site · Starting at $20,000
Most teams use AI at 10% of its capability.
They paste prompts into ChatGPT. They get mediocre output. They decide AI isn't that useful for their work. The problem isn't the technology — it's that nobody taught them how to use it.
Knowing that AI exists is not the same as knowing how to build an agent that routes tasks, how to write a system prompt that actually constrains behavior, or how to design a workflow where AI handles the repetitive decisions and humans handle the judgment calls.
That gap is what I close.
10×
productivity gain for teams that prompt well
< 2 hrs
to understand what AI agents actually are
Day 1
practical skills your team can use immediately
Any stack
Claude, Gemini, GPT — tool-agnostic training
A different approach
Everyone is trying to sell you an AI product. I'm not.
The AI industry right now is almost entirely oriented around selling you something — a platform, a SaaS tool, an integration, an “AI-powered” version of software you already own. Every vendor has a solution. Every solution requires a subscription. And somehow, after all of it, your team still doesn't really know how to use AI.
The problem with being sold a solution is that you become dependent on it. You don't understand what's happening inside it, you can't adapt it when your needs change, and when the vendor pivots or the contract comes up for renewal, you're back where you started.
What actually changes how a team operates is understanding — knowing how to prompt well, how to design a workflow that uses AI where it helps and keeps humans where they matter, how to evaluate output critically, and how to build on that foundation as the tools evolve.
That's not a product you can buy. It's a capability you have to build. That's what I teach.
The typical AI vendor pitch
- ✕Buy our platform and AI does it for you
- ✕No training required — it just works
- ✕Your team doesn't need to understand it
- ✕Proprietary system, vendor lock-in
- ✕Renewal conversation in 12 months
What I actually do
- ✓Teach your team to use the tools themselves
- ✓Build real understanding, not just familiarity
- ✓Works across Claude, Gemini, or whatever comes next
- ✓Your team owns the capability when we're done
- ✓No dependency on me to keep things running
What I offer
Three ways to work together
Workshops
Team AI Training
Half-day and full-day workshops for teams of any technical level. Covers AI fundamentals, prompt engineering, agents, and building real workflows — hands-on from hour one.
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Coaching
1:1 & Leadership Coaching
Deep-dive sessions for executives, managers, and individual contributors who want to build genuine AI fluency — not surface-level awareness. Structured curriculum, your pace.
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Consulting
AI Strategy & Implementation
For organizations ready to move from education into execution. I design the AI integration architecture, select the right tools (Claude, Gemini, custom APIs), and help you build it.
Learn more →
What teams learn
Core curriculum topics
Sessions are customized to your team's level and use cases. This is the full topic library — we build your program from it.
What AI Agents Actually Are
Beyond the hype — how agents work, what tool use means, when to use a single model vs. a multi-agent system, and how to evaluate whether you need an agent at all.
Prompt Engineering That Works
System prompts, chain-of-thought, few-shot examples, role assignment, output structuring. The difference between a prompt that works once and one that works reliably.
Claude's Memory & Context
How Claude handles conversation context, when memory matters, how to use knowledge bases and retrieval-augmented generation, and when to reach for external storage vs. the context window.
Building Workflows, Not Just Prompts
How to design AI workflows that integrate into real business operations — routing logic, human-in-the-loop checkpoints, error handling, and keeping humans in control of the decisions that matter.
Model Selection & Tool Choice
Claude vs. Gemini vs. GPT — when each model excels, how to evaluate output quality for your specific use case, and how to avoid vendor lock-in when building AI-dependent systems.
AI Safety & Responsible Use
How to evaluate AI output critically, design oversight into your workflows, recognize hallucinations, and build AI-assisted processes that your team trusts — and knows when not to trust.
How it works
From discovery to fluency
30 min
Discovery Call
We talk about your team's current AI literacy, your use cases, and what good looks like in 90 days. Free and no-pitch.
1 week
Custom Program Design
I design a curriculum scoped to your team's roles, skill levels, and the specific workflows you want to improve. No generic slide decks.
Weeks 2–8
Training & Implementation
Workshops, coaching sessions, and hands-on build time — your team learns by doing, on real problems from your actual work.
Ongoing
Sustained Fluency
Follow-up sessions, office hours, and async Q&A to make sure the learning sticks and evolves as the tools do.
Why education first
Tools don't fail. Understanding does.
The technology works. What fails is the mental model — teams reach for AI with the same intuitions they use for Google Search, and then wonder why the results feel shallow.
Deep AI fluency isn't about memorizing prompts. It's about understanding how these systems reason, where they fail, and how to design around their limitations. That understanding transfers across every tool — today's and tomorrow's.
AI Agents
Most people have heard the word. Almost no one on a non-technical team understands what an agent actually does, when to use one, or how to tell a good agent architecture from a bad one.
Claude & Frontier Models
Claude, Gemini, and GPT are not interchangeable. Each has distinct strengths, context window behaviors, and ideal use cases. Knowing the difference changes how you deploy them.
Prompt Engineering
A well-crafted system prompt is the difference between an AI that does what you need and one that constantly surprises you. This is a teachable, learnable skill — and most teams have never been taught it.
About
As Director of Data Analytics Americas, I led a team of over 10 analysts and programmers delivering work for major clients — Walmart, Amazon, Target, Starbucks, Lowe's, Petco, Raising Cane's, Altria, and more. Alongside that, I taught and advised 40+ colleagues across the organization on how to effectively use AI in their work — hands-on, ongoing, and built around what people actually needed to know.
Watching what worked and what didn't — at scale, with real people, on real work — is what convinced me this kind of teaching is where I can have the most impact.
This practice is how I put that experience directly to work for other teams.
Background
Director of Data Analytics Americas
Led 10+ person team; taught 40+ colleagues to use AI
Data Science & Engineering
Hands-on model building and deployment
Fortune 500 client work
Walmart, Amazon, Target, Starbucks, Lowe's & more
FAQ
Common questions
About AI agents, Claude, prompt engineering, and how training engagements work.
Ready to give your team a real AI advantage?
1-hour discovery call. We'll talk about your team, your goals, and whether this is the right fit. No sales pitch — just a direct conversation.
Engagements start at $20,000 · Based in Honolulu, HI · Remote & fly-out available