Not MVPs. Not prototypes. Production-ready applications that actually work.
View open project slots and book your discovery call
Choose an available slot or proceed if you're flexible
Loading availability...
Start with the core concept. Build just enough to test with real users. Hours, not weeks.
Get it in front of actual users immediately. Learn what works and what doesn't. Real feedback on a working product, not wireframes.
Usage reveals the truth. Students gaming the system. Teachers needing real-time visibility. These insights only come from real use.
Not sure if something is feasible? Build a throwaway prototype to test it. A few hours to validate an approach before committing to it.
Update the specification with everything you learned. Rebuild from scratch. No compromises. No technical debt. Clean architecture.
Not an MVP you'll need to rebuild. Not a prototype. The actual product, battle-tested and ready for real use.
This is version-based development. You iterate on the concept, not the code. The code is disposable. The specification is what matters.
The technology is capable. AI can generate complete systems from specifications. But knowing how to use it effectively requires deep architectural expertise.
I spent $500K and thousands of hours figuring this out. Not just "using AI to code faster" - understanding how to architect systems at a level where AI can generate them correctly at production quality.
What I systematically figured out:
Most people trying this casually will fail because they don't have the architectural expertise. This isn't something you pick up from a YouTube tutorial.
I believe we're at a turning point for humanity with AI. It makes it possible to build software in a completely different way. But most people are just using it to code faster - not rethinking the entire process.
I invested heavily in figuring this out because I think it matters.
Great products need more than great code. My team brings expertise in data systems, fraud detection, product management, and organizational design - everything needed to ship complete, production-ready solutions.
20 years building software. Founded and sold two companies. Former CTO of fintech startup that grew to $30M ARR and successful exit. Father of six who values direct communication.
Military intelligence veteran specializing in data engineering and fraud detection. Builds complex data pipelines and anomaly detection systems for high-stakes applications.
20 years of executive-level experience in software project and product management. Led teams at both enterprise companies and startups. Expert in organizational leadership.
Master's degree in organizational psychology. Director-level experience in product, project, and program management. Specializes in building effective organizational systems.
Two ways to engage. Both fixed-price. Both focused on complete products.
Good for: Founders who want to own and maintain the product themselves.
Not sure which direction to go? Start with Concept Validation ($10K-$15K, 1-2 weeks). We'll build 2-3 prototypes, test with users, and pick the winner.
Good for: Companies with technical debt, need to pivot, or want to start fresh with clean architecture.
We fix any bugs discovered in the first month. This covers functionality issues, performance problems, deployment issues, and user-reported bugs.
You own it and maintain it yourself using the custom AI agents we provide. These agents understand your codebase and can handle maintenance, bug fixes, and small feature additions.
You have options:
When you've learned what users actually need and are ready for a complete rebuild with those insights, we can do another project engagement. Since we already know your domain and have the v1.0 specification, v2.0 is typically faster and cheaper than v1.
This works best if: You need a complete product fast. You value speed and quality over cost. You're willing to let an expert own the technical decisions. You want to iterate on concepts, not code.
Not a fit if: You want someone to maintain your existing codebase, you're looking for a developer to join your team, you want hourly pricing, you need the absolute cheapest option, or you want to micromanage implementation details.
Not really. We build complete products and hand them off. You maintain them using the AI agents we provide. If you want us to build new features or v2.0, that's a new project engagement.
Use the AI agents we provide, or hire any developer. We built it with clean architecture and full documentation specifically so you can maintain it.
If you're doing a rebuild, your team can observe and give input on tech stack and review the specification. But we build the product - that's how we move fast. After handoff, we'll train your team.
Whatever makes sense for your project. We're stack-agnostic. AI agents write the code, so we're not limited to one language or framework.
Larger projects can take 6-8 weeks and cost more. Book a call and we'll scope it out. You'll know the fixed price upfront.
Most client work is confidential, but the reading comprehension app on this page is one I built for my son. It's now used in classrooms.
Book 30 minutes. I'll review your project, explain how I'd approach it, and we'll figure out if this makes sense. No pressure, no pitch.
Not ready to book? Email me with your project details:
[email protected]Insights on building software differently, AI-powered development, and the future of product creation.
MVPs create technical debt from day one. There's a better way—and it's faster and cheaper than you think.
Why speed creates psychological discomfort—and why you need to push through it anyway.
What happens when you stop treating code as sacred and start treating it as a build artifact? Everything changes.
What happens when building isn't the bottleneck. Testing bolder ideas, pivoting without fear, finding product-market fit.
I build complete experiments in hours to validate hypotheses. The experiments are disposable. The learning is permanent.
When rebuilding takes days, not months, maintenance becomes obsolete. Here's why this practice is about to disappear.