Technical MVP
Verifiable prototypes to validate flows and assumptions.
AI-Assisted Software Delivery
AI-augmented software development, guided by human technical responsibility.
I use advanced models to accelerate research, analysis, prototyping, development, refactoring, documentation, and testing. But architecture, verification, and responsibility remain human.
AI accelerates. Systems thinking governs.
AI is an operational exoskeleton.
It lets you do many things faster than before — work that used to take more time, more people, or more cycles. But without technical direction, it produces noise, debt, and risk.
What it accelerates
- Technical research
- Documentation synthesis
- Comparative analysis
- Prototype generation
- Refactoring
- Test writing
- Documentation
- Architectural pattern exploration
- Code generation
- Log and configuration analysis
What I don't delegate to AI
- Architectural responsibility
- Final validation
- Security choices
- Credential management
- Data handling
- Boundary design
- Production decisions
- Risk acceptance
Brain exoskeleton
You can tell you're using it well when it overtakes you.
AI is first of all a brain exoskeleton. Driven by its own rules, it produces work at the edge — or past it — of what a single person's knowledge would allow. That's the marker: watching yourself exceed your own limits, without the usual defects of badly-driven AI showing up.
What it produces, driven well
- Results at the edge of personal competence
- Analytical depth normally out of individual reach
- Synthesis that by hand would require a team
- Connections across domains that escape a single mind
- Decisions informed by sources broader than any single human could read
What stays out of the results
- Hallucinations and made-up claims
- Probabilistic drift and incoherent output
- Undetected errors of substance
- Synthesis that looks plausible but is wrong
- Conclusions not traceable to sources
Exoskeleton, not substitute.
Buyable outputs
Software and automations with clear boundaries and a path to production.
Backend/API
Application services, integrations, and data interfaces.
Dashboard
Internal tools for analysis and operations.
Robust scripts
Repeatable, traceable, documented automations.
Microservices
Isolated, deployable components.
Document tooling
Systems to process, query, and govern documents.
Difference from a “prompt engineer”
The value isn't writing isolated prompts. The value is turning a business goal into architecture, verified code, deployment, and maintenance.
Turn a process into operational software
We bring a real process into verifiable software, without confusing demos and production.