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// corporate & team training

Your team is using AI.
Are they using it well?

A practical, hands-on training built for development teams by someone in the trenches... not just slides, not just theory.

Book a Discovery Call See the Process

// the gap nobody talks about

AI tools are everywhere.
The skills to use them well are not.

01

Developers are using AI to write code they cannot fully read or debug. When it breaks, they are stuck.

02

Teams are prompting AI the same way they Google, and they're getting generic output, then spending hours cleaning it up.

03

Design and development workflows are still siloed. AI could bridge them, but only if you know how to ask.

Keith Kritselis Keith Kritselis stylized portrait

// your instructor

Keith Kritselis

Builder. Educator. 30 years at the front of every wave.

Keith started teaching technology in 1993, before the web existed as most people know it. He has logged more than 7,500 hours in front of classrooms, bootcamp cohorts, corporate training rooms, and live video sessions. His clients and employers have included Dell, National Instruments, BazaarVoice, the U.S. Marines, Motorola, Coke, and GSDM. He has taught at Austin Community College, General Assembly, Austin Coding Academy, and institutions across the country.

He is not an AI hype person. He is a working developer who uses AI tools every day in production, and has spent the last several years figuring out exactly where they help, where they mislead, and how to extract the most value from them in real workflows.

30+
Years in Tech
7,500+
Hours Teaching
1993
Where It Started
Featured in: The New York Times · Chicago Tribune · SF Chronicle · Maker Faire · SXSW

// the framework

The 3D AI Process

Most AI training teaches tools. This training teaches a process, a repeatable way of thinking about where AI fits and how to get the most out of it across the full development lifecycle.

D1

Design

Prompting for intent, not just output

Most people treat AI like a search engine. The teams that get the most out of it treat it like a design partner. This module teaches your team how to define problems clearly enough that the AI can actually solve them. From wireframes to user flows to content strategy.

  • Crafting prompts that capture design intent
  • Using AI to explore design directions rapidly
  • Bridging the gap between what you imagine and what AI produces
  • When to iterate with AI vs. when to step away and think
  • AI-assisted UX research and user story development
D2

Development

AI as a multiplier, not a replacement

The developers winning with AI are not the ones who blindly paste generated code, they are the ones who know exactly how to direct it, verify it, and integrate it into a codebase that holds up. This module closes the gap between "AI wrote it" and "this is production-ready."

  • Writing prompts that produce reviewable, maintainable code
  • Structuring context so AI understands your codebase
  • Code review workflows built for AI-generated output
  • Knowing which problems are AI-appropriate and which are not
  • Managing technical debt before it accumulates
D3

Debugging

Finding what AI cannot find on its own

AI is good at generating code. It is not reliable at diagnosing why its own code fails in your specific environment. This module teaches developers a structured process for debugging AI-generated output, including how to use AI as a debugging tool without creating more problems than you started with.

  • Systematic debugging frameworks for AI-generated code
  • Using AI to help debug without letting it hallucinate new errors
  • Reading and understanding code you did not write
  • Isolating failures in complex, multi-file AI output
  • Building tests that catch AI mistakes before they ship

// delivery options

Built around your team's schedule.

Half-Day

Focus Session

A concentrated 3-hour session covering one pillar of the 3D AI Process in depth. Ideal for teams that already have AI in their workflow and need targeted improvement in a specific area.

  • 3 hours on-site or remote
  • Choose Design, Development, or Debugging
  • Up to 15 participants
  • Live exercises on real team projects
Most Popular
Full Day

The Complete 3D Process

The full training: all three pillars, end-to-end. Teams leave with a shared vocabulary, a shared process, and habits that change how they work with AI from day one.

  • Full day, on-site or remote
  • All three pillars: Design, Development, Debugging
  • Up to 20 participants
  • Team exercises using your actual codebase
  • 30-day async follow-up included
Ongoing

Embedded Coaching

Monthly sessions with your team over a quarter. The 3D Process becomes part of how your team works, not a one-time event. Best for teams actively building with AI tools.

  • Monthly half-day sessions
  • Adapted to your team's actual projects
  • Tracks progress and fills gaps over time
  • Includes async support between sessions

// right fit?

This training works best for teams that are already moving.

Good fit

  • Development teams already using AI tools day-to-day
  • Companies where individual developers are using AI but the team has no shared process
  • Product teams that want design and development to work better together using AI
  • Engineering managers who want to know what their teams should actually be doing with these tools
  • Organizations evaluating AI adoption who want a grounded, practical starting point

Not what this is

  • An introduction to what AI is, your team already knows
  • A tool-specific tutorial for Copilot, Cursor, or ChatGPT
  • A lecture series without hands-on application
  • A vendor-sponsored pitch for a specific AI platform
  • Generic content that ignores your team's actual stack

// what changes

What your team walks away with.

01
A shared language for AI work
When everyone on a team is prompting differently and reviewing output differently, consistency breaks down. The 3D Process gives your team common vocabulary and common standards.
02
Faster output with fewer rework loops
The biggest time sink in AI-assisted development is not generating code, it is the back-and-forth caused by vague prompts and unreviewed output. Teams that learn to prompt precisely ship faster.
03
Developers who understand what they are shipping
AI-generated code that nobody on the team fully understands is a liability. This training builds the habit of review and comprehension, before it ships, not after it breaks.
04
A debugging process that actually works
Developers leave with a systematic approach to diagnosing failures in AI-generated code, not just "ask AI again and hope." It is the skill most teams are missing and most tools do not teach.

// let's talk about your team

Ready to get the most out of AI?

Book a 30-minute discovery call. We will talk through where your team is, what they are struggling with, and whether the 3D AI Process is the right fit.

Book a Discovery Call

Prefer email? keith@vibecodetechsupport.com