AI-Powered Velocity Training for Software Development
Hands-On AI training and curated workflows, techniques, and tools to help software developers, UI/UX designers, and their managers achieve 2-10x productivity.
We bring 15+ years of production software experience across mobile, web, TV, and AI-integrated systems
Our expertise spans systems that have served 200,000+ users
Engineering-first training—not generic prompting tips
Is This Training Right for Your Team?
Who It's For
- 1Software developers looking to multiply their productivity with AI-assisted workflows
- 2UI/UX designers who want to iterate faster and bridge the gap between design and code
- 3Engineering managers seeking to standardize AI practices across their teams
Who It's Not For
- Those not actively building or designing software products
- Organizations without a path to AI tool access during the adoption window
- Teams seeking quick tips rather than systematic workflow changes
Choose Your Package
Select the level of engagement that fits your team's needs. Scroll down to learn more about each option.
AI-Powered Velocity Workshop
10-seat minimum ($20,000)
Full-day comprehensive AI training with live demonstrations and practical workflows
- 8-hour intensive workshop
- AI Workflow Playbook
- Templates & Prompts Library
- Live demonstrations (not hands-on labs)
- In-person or remote delivery
- 7-day satisfaction guarantee
AI-Powered Velocity Intensive
10-seat minimum ($50,000)
Deep-dive week with intensive AI tool training, hands-on labs with actual work, and holistic understanding
Includes specialized training for designers, frontend developers, and managers
- Everything in Workshop, plus:
- 5-day intensive experience
- Hands-on training labs with your actual work
- Role-specific tracks (UI/UX, Frontend, Managers)
- Workflow implementation with best practices
- Team consistency and holistic AI understanding
- 7-day satisfaction guarantee
AI-Powered Velocity Partnership
10-developer minimum ($100,000)
Year-long partnership with ongoing support, updates, and continuous optimization
- 1 hour of consulting per week
- Complete AI Workflow Playbook
- Ongoing tool & technique updates
- Regular bottleneck identification
- Priority support access
- 7-day satisfaction guarantee
Real Results
A real project where these workflow principles were applied from start to finish.
Round Table Production System
Context
- • Complete production web application
- • Solo developer using workshop methodology
- • Built entirely with AI-assisted development workflows
- • Demonstrates practical application of training principles
Workflow Applied
- • Structured specs before implementation
- • Prompt patterns for code generation
- • Verification loops at each stage
- • Reusable templates across components
Measured Result
~12 months
Traditional estimate
~2.25 months
Actual delivery
Quality Signals
Comprehensive automated test suite including unit, integration, and E2E tests. Verification loops and self-review at each development stage.
Important Context
- • Timeline comparison based on similar projects in prior professional experience
- • Full tool access (Claude Code + Codex) throughout development
- • Experienced developer applying structured methodology
- • Results will vary based on team size, codebase complexity, and adoption commitment
This is a documented project with verifiable deliverables. Your team's results will depend on tool access, workflow adoption, and measurement methodology.
Your tools have evolved. Your workflows haven't.
Time lost to inefficiency compounds daily, leading to higher payroll burn, delayed shipping, and missed market windows.
Boilerplate code
Slow test creation
Unclear specs
Long PR review cycles
Debugging thrash
Meetings that substitute for clarity
The Compounding Cost
Every hour spent writing boilerplate, debugging obvious issues, or waiting for PR reviews is an hour not spent solving hard problems. These inefficiencies compound across your team every single day.
More Than Just AI Training—It's a Complete Workflow System
Comprehensive AI training covering concrete practical ways to incorporate AI into standard practices across the entire software development lifecycle: planning → specs → implementation → testing → code review → documentation → team communication
AI mental models for builders
What AI is good at, risky at, how to verify outputs
Prompt patterns that produce reviewable work
Diffs, tests, checklists, acceptance criteria
Workflow integration across the SDLC
Specs → planning → implementation → tests → review → docs
Adoption design
How to standardize so the whole team benefits
1-Day Workshop Agenda
A full day of hands-on learning and practical application
| Time | Activity |
|---|---|
| 9:00–10:15 | AI mental models for engineers: capabilities, failure modes, verification |
| 10:15–12:00 | Prompt patterns: context building, constraints, reviewable outputs |
| 12:00–1:00 | Working lunch / office hours: real blockers, live workflow rewrites |
| 1:00–3:00 | Workflow upgrades: spec→PR, debugging compression, refactors, test acceleration |
| 3:00–4:30 | Live demonstrations: trainer applies system to example tasks (not hands-on labs) |
| 4:30–5:00 | Q&A and next steps: implementation planning and team discussion |
You don't just leave with notes—you leave with a productivity toolkit.
AI Workflow Playbook
Complete guide with everything from the workshop: how to think about AI as a software engineer, how to employ it day-to-day, practical tips, techniques, workflows, and tools
Templates and Prompts
Practical templates and prompts you can implement in your codebase right away
Week-Long Intensive Workshop
Deep-Dive AI Tool Training with Hands-On Implementation
Intensive training on how to use and think about AI tools, with hands-on training labs using your actual work. Implementing workflows with best practices to ensure consistency across teams and holistic understanding of AI employment.
Includes specialized tracks for UI/UX designers, front-end developers, and engineering managers to ensure your entire product team achieves 2x+ productivity.
UI/UX Designers
- AI-powered design iteration and rapid prototyping
- Design-in-code methodology—create and iterate designs directly in code
- Generate design variations and explore options faster
- Streamline handoff with developers through AI-assisted specs
Front-End Developers
- AI-assisted component generation and styling
- Rapid UI implementation from designs
- CSS and responsive design acceleration
- Design-to-code workflow optimization
Engineering Managers
- AI for team workflow management and planning
- Set realistic expectations with AI-augmented teams
- Improve communication clarity and documentation
- Enable developers to maintain their new velocity
The Intensive includes dedicated time for each role, ensuring everyone on your team—not just backend developers—can leverage AI to multiply their output.
Tool Requirements
The workshop is built around specific AI tools. Here's what we use.
Anthropic Claude
Workshop demonstrations use Claude Code for workflow patterns, spec generation, and structured prompting exercises.
The workshop uses Claude Code (Anthropic's CLI tool) for agentic coding workflows. Claude Code access varies by plan—available on Pro/Max individual plans and premium seats on Team/Enterprise plans. We'll verify your specific access during the readiness call.
OpenAI Codex
Workshop demonstrations use Codex for code generation, refactoring exercises, and IDE integration labs.
Codex is included with ChatGPT Plus, Pro, Business, Edu, and Enterprise plans. Access available via CLI, IDE, or cloud.
Getting the Most from the Workshop
You can attend the workshop without these tools, but you'll get the most value with full tool access during the adoption period. We'll discuss your current setup during the fit call.
Plan availability is vendor-controlled and may change. We'll confirm current eligibility requirements before your workshop.
Security & Governance
We understand enterprise security concerns. Here's how we address them.
NDA Available
We're happy to sign NDAs before any engagement. Your business context stays confidential.
No Code Access Required
Labs use sanitized examples, public repos, or your team's own code (their choice). We never require access to proprietary code.
Safe Usage Patterns
The workshop covers data handling best practices, redaction techniques, and how to use AI tools without exposing sensitive information.
Where the 2x-10x Comes From
Velocity gains compound across your entire development lifecycle
At first glance, the headline improvement seems to be raw output:
5,000+ lines of production-ready code in a single day
And yes, that's real. But that's just the tip of the iceberg.
If you think AI-assisted development is just about writing more code faster, you're missing the bigger picture. The real gains come from improvements that compound across your entire workflow.
The Compound Gains
Eliminated Waste
Not building the wrong feature saves weeks. Better specs and faster validation mean you build what matters.
Reduced Rework
Code written right the first time eliminates bug-fixing cycles. Less time in QA, fewer hotfixes, cleaner releases.
Increased Throughput
More features shipped per sprint. AI handles the boilerplate so your team focuses on solving real problems.
Faster Reviews
PRs that are easier to review get merged faster. Structured outputs and consistent patterns reduce review friction.
Sharper Planning
Better specs upfront mean fewer mid-sprint surprises. Clear requirements reduce scope creep and renegotiation.
Clearer Communication
Less time in meetings clarifying requirements. AI-assisted documentation keeps everyone aligned.
The Compound Effect
A 20% improvement in each of these areas doesn't add up to 120%—it compounds. When you waste less time, ship more features, write cleaner code, review faster, plan better, and communicate clearer, the cumulative effect is 2x, 3x, even 10x what you were doing before.
Why We Don't Use Rigid Metrics
Traditional productivity metrics like "time from ticket to PR" only capture one slice of the picture. They miss the feature you didn't waste three weeks building. They miss the bugs you didn't have to fix. They miss the meetings you didn't need because the spec was clear.
The real improvement is operational—and while it's hard to capture in a single number, it's unmistakable in practice. Your team will feel it. Your stakeholders will see it in delivery pace. Your developers will tell you.
That's why we back it with a satisfaction guarantee—not a spreadsheet.
100% Satisfaction Guarantee
We stand behind the workshop with a simple, no-nonsense guarantee
No-Questions-Asked Refund Window
If within 7 days of the workshop you don't believe it was worth your time and investment, we'll issue a 100% refund.
That's it. Simple email, full refund. We want you to feel completely confident in this decision.
Frequently Asked Questions
Who is this for?
How is pricing structured?
What AI tools are required?
What if we have strict security policies?
How do you measure the 2x-10x improvement?
What is the guarantee?
Does faster mean lower quality?
What if my team is skeptical of AI?
Is this remote or in-person?
Ready to install an AI workflow system your team can actually use?
Book a 15-minute fit call to discuss your team's needs, or request a custom quote.