PrototypeX Studio
Virtual prototyping for physical systems
Create and refine the model directly, or use AI assistance to accelerate the work.
Build an interactive 3D model of a physical idea, configure selected behavior and controls, run virtual tests, compare results and revise the design. AI can help you move faster; you choose how to use it.
Move from speculation toward evidence—faster.
Concept exploration, not engineering certification.
One connected workflow
Demonstrations
A user set the goals and guided the LLM through each build. Watch the resulting rotating ring, rocket, and autonomous drone run in PrototypeX Studio.
Demo 01
Built entirely by an LLM under user guidance in PrototypeX Studio, this 111.8 m virtual ring spins up to about 4 RPM, creating roughly 1 g of apparent gravity at the outer deck. The recording compares a cube attached to the ring with one floating freely, alongside live acceleration readings.
Demo 02
Built entirely by an LLM under user guidance in PrototypeX Studio, this virtual rocket combines a main motor, cold-gas control thrusters, sensors, and three actuated legs. Its scripted flight targets a 15 m climb, cycles the landing gear, holds position and heading, then descends toward the pad with live telemetry.
Demo 03
Built entirely by an LLM under user guidance in PrototypeX Studio, this virtual quadcopter combines four controlled rotors with GPS, motion, pressure, and altitude sensors. The recording shows its scripted takeoff, climb toward a 15 m target, brief hover, and guided descent with simulation telemetry alongside the flight.
Explore the process
Follow the autonomous platform case study from a written brief through simulation, diagnosis, revision, and documented results.
AI-assisted case study
Can AI help turn a vehicle brief into a testable virtual system—and improve it when the first test exposes a limitation?
A high-level brief described a hollow square platform, onboard sensors, independently controlled thrusters and a three-point route. An AI client used PrototypeX to create and configure the virtual system, run it, inspect its behavior and revise the model.
PrototypeX demonstrations show results from configured virtual models. Results depend on the model and its assumptions; they do not establish real-world performance, safety, or regulatory compliance. AI-assisted reports should be independently checked before use in physical engineering.
Playback notePlayback has been accelerated for viewing convenience.
What the demonstration proves
The useful result was not a perfect first attempt. It was a fast, reviewable loop from intent to evidence.
The first test revealed
The original five centerline thrust directions could move the platform but could not fully correct pitch and roll.
The model was revised
The test points were also moved farther from the platform to create a more meaningful navigation route.
The recorded result
Roll and pitch were stabilized in the configured model; yaw control and physical feasibility remain open questions.
Selected evidence
The complete workflow produced five technical documents. Three public-facing reports are shared here; deeper design and control material remains private.
Documents were generated with AI assistance from the configured scene and require engineering review before any real-world use.
Software work
My software work also includes System Synthesis Studio, Trace Accounting, and Work Item Register. They cover system design, accounting, and project and ticket tracking.
All three applications are owned by SPACE INTERTECHNOLOGIES LLC.
Software portfolio
System Synthesis Studio is a contract-driven platform for designing and prototyping data-centric systems. It captures relational structure, workflows, validation, reporting, and delivery decisions in one reusable system contract, then derives coordinated applications, databases, analytics, APIs, and professional design documentation without redesigning the solution for every target platform.
Key technologies: .NET 8, SQL Server 2019 and WinForms. Blazor web capabilities are in development.
Use QuickBuild for a fast start, or work with Codex through the built-in Design Assistant. The assistant and desktop app share the same live design, so questions, suggestions and accepted changes stay in sync. AI can suggest improvements, while you decide what to accept, save and turn into deliverables. Direct API calls to LLM providers are also supported.
Also in the portfolio
Trace Accounting is an industry-flexible accounting platform for SPACE INTERTECHNOLOGIES LLC, designed around configurable source documents, ledger structures, calculations, and posting workflows.
Key technologies: .NET 8, SQL Server 2019 and WinForms. Blazor web capabilities are in development.
Its MCP integration has three modes:
Also in the portfolio
Work Item Register is a Windows desktop app for tracking projects and tickets in one hierarchy, with progress rolling up at every level. It includes role-based permissions, a full audit trail, and an AI gateway (MCP) where assistants like Claude can read the register and propose changes, but only a person can approve them.
Key technologies: C# / .NET 8, WinForms, SQL Server 2019 (T-SQL), Dapper, Model Context Protocol (MCP), xUnit.
These applications continue to evolve, with new features added as AI capabilities advance.
Contact & updates
We welcome interest from potential users and organizations. You can let us know if you would welcome a reply, occasional updates, or both. We may not respond to every message. No project description is needed.