Model alignment
How AI systems are steered toward the goals and limits people intend.
Less noise.
More know-how.
You’re good at your job.
You shouldn’t need another one to understand AI.
Hello! I’m Barry.
I’ve helped thousands of professionals use AI in their work, from first steps with the tools to changes across entire organisations.
My background includes the Financial Times, Bain & Company, Decoded and Ogilvy. I lead AI transformation at Multiverse and hold an MBA from Columbia Business School.
I started TheABCs to make the language of AI useful to the people making business decisions. The aim is simple: understand what matters, ask better questions and put the right ideas to work.
More about BarryBarry T. Whyte FOUNDER, THEABCs
The ABCs of AI.
Inference
You use it every time you ask AI a question. Here’s what’s actually happening.
Read the explainerToken economics
Why the way you use AI matters as much as the tool you choose.
Read the explainerDeployment
The distance between an impressive experiment and something the team can rely on.
Read the explainerRobotics
What changes when AI can sense, plan and act in the physical world.
Recursive self-improvement
Could AI help make later AI systems more capable?
Evaluation awareness
When a model recognises it is being tested, and why that matters.
Design system
Shared patterns that make AI products clearer and more consistent.
Harness
The tools, context and checks that make a model useful in practice.
Model routing agent
Choosing the right model for a task based on capability, speed and cost.
Vibe coding
Building software by describing what you want and refining the result with AI.
World models
How AI represents an environment and predicts what might happen next.
Now, make it work for you.
01
AI workshops.
Hands-on sessions using the tools your business already pays for and the work your team actually does. Build shared confidence and leave with repeatable workflows.
- Plain-English foundations
- Hands-on work with your existing tools
- Workflows to use the next day
02
Deployment sprints.
Choose one painful, repeatable process. Build and test a practical AI tool with the people who will use it, then hand over ownership to your team.
- One clear business problem
- A working agent or copilot
- Testing, handover and team ownership
03
Tool and token economics.
Understand what your AI tools cost, how they are used and what value they return. Make better choices about licences, model usage and the next investment.
- Tool and licence usage
- Token costs and budgets
- Measures of return
Built for businesses where people, expertise and client relationships are the product.
Recruitment. Legal. Consulting. Creative agencies. And teams like yours.