How I Work

Methodology, sprint execution, and human-AI collaboration for domain founders

I'm a technical partner for domain founders. You bring expertise in your industry's problems. I bring execution capability - team-level output from one person, using a systematic process where you see and control every step.

The Methodology

🔬

Research-Before-Build

  • • Competitive landscape analysis
  • • Domain research and validation
  • • Strategic framework development
  • • Kill decisions that save 300+ hours per avoided project
⚡

Sprint Execution

  • • 4-day average to functional prototype
  • • Proven across multiple 2025 projects
  • • Daily progress visibility
  • • Human judgment + AI execution at every step
🔄

Sustained Development

  • • Long-term project capability (170-day example)
  • • Polyglot development across domains
  • • Documentation-first approach
  • • Handoff-ready codebases

You See and Control Every Step

No black-box magic - a systematic process you can follow and understand

Research Before Code

Before any code gets written, deep research transforms broad ideas into focused, actionable plans:

1

Market Research

Broad exploratory phase. Competitive analysis, domain investigation, opportunity mapping. Much of this gets discarded.

2

Vision

Filter what matters. Extract signal from noise. Define what success looks like and what we're NOT building.

3

Scope

Focused problem definition. Architecture decisions. Trade-off analysis. Risk identification. This is where bad ideas get killed.

4

Instructions

Precise, actionable context. Implementation plan with clear success criteria. AI works from distilled instructions.

Deep research before any code means by the time I build, the problem is clear and focused. Bad ideas get killed early. You don't pay for wasted effort.

❌ Black-Box Approach

Unclear process, unclear results

  • • Throw problem at developer, hope for best
  • • When it breaks, no idea where it failed
  • • Can't explain why something works
  • • Process isn't repeatable

✓ You See Every Step

Clear stages - you understand what's happening

  • • Know what happens at each stage
  • • Know exactly where adjustments are needed
  • • Can verify and guide the output
  • • Process is documented and repeatable

The Result: Team-Level Output, Solo Execution

In 2025: 4 substantial builds plus prototypes and research. What used to require a full engineering team, delivered by one technical partner. The systematic process means when something needs adjustment, you know exactly where - no black-box guessing.

What You Get

Tangible Deliverables

  • ✓Functional prototypes in days
  • ✓Production-ready systems for sustained projects
  • ✓Complete documentation and architecture decisions
  • ✓Handoff-ready codebases

Strategic Value

  • ✓Technical validation before major capital commitment
  • ✓Domain research and competitive analysis
  • ✓Opportunity evaluation using proven frameworks
  • ✓Technical due diligence from someone with skin in the game

How We Can Work Together

Three ways to engage, aligned with how projects actually progress

🔬

Compression Phase

2-5 days

What you get:

  • • Competitive landscape analysis
  • • Opportunity validation
  • • Kill/go decision with research to back it

Good for: "I have an idea but need technical validation before investing time and money"

⚡

Sprint Execution

4-10 days

What you get:

  • • Functional prototype
  • • Working software to show investors
  • • Something real to test with users

Good for: "I need to prove this works before raising or hiring a team"

🤝

Sustained Partnership

Weeks to months

What you get:

  • • Ongoing development + strategic input
  • • Production-ready product
  • • Handoff-ready codebase

Good for: "I need a technical partner, not just a contractor"

Investment capability: I can participate with capital when strategically aligned - but technical partnership is the primary value. Most investors can't debug your production server at 2am. I can.

Ready to Discuss Your Project?

Let's talk about your domain expertise and how we can turn it into working software