Kuhn Consulting works directly with clients from the first architecture decision through production deployment. Every engagement is shaped around the actual problem, whether that's building a new platform from scratch, adding AI to a system you already run, or untangling a specific architectural knot.
The application side: what gets designed, written, and shipped.
Add AI features that hold up in production, built across the major providers.
Make your existing APIs usable by AI assistants and agents. With Kuhn Consulting's API2MCP platform, your REST APIs become Model Context Protocol (MCP) servers, so tools like Claude can call your services directly. No custom integration code to build or maintain.
Launch a SaaS product that can scale: multi-tenant architecture built for growth, security, and the day-to-day work of running it.
Fast, reliable web applications, built on the proven Microsoft .NET stack.
Native apps for Windows, iOS, macOS, and Android without a separate codebase for each one. I build in whichever stack fits the project: .NET MAUI when the rest of the system is already C#, React Native with TypeScript when the team lives in JavaScript.
Take payments without the headaches: Stripe, PayPal, and in-app purchases, with the full subscription lifecycle handled.
Protect your users and their data with modern authentication: passwordless login, multi-factor security, and enterprise SSO.
Keep users in the loop with reliable, compliant messaging: email, SMS, and real-time notifications across multiple providers.
Build or enhance learning management platforms with 20+ years of e-learning industry expertise and standards compliance.
The local, hands-on side of the practice. On-site and remote technology work for homes and small businesses across Eagle County, Colorado, from Vail down to Glenwood Springs.
Someone still has to run the servers, ship the releases, and keep the whole thing healthy. On most engagements that's me too.
Code that only runs on a laptop isn't finished. I build the hosting underneath an application and then run it in production.
Releases should be boring. Every change builds, tests, and deploys the same way, so shipping stops being an event.
The safest port is the one that was never opened. Access gets designed in, not bolted on after the first incident.
Finding out something broke before your customers do, and being able to put it back.
Most of the time lost on a project goes to integration and onboarding. This is the part that goes after both.
Straight answers about how engagements work.
AI integration consulting means connecting your application to large language model (LLM) APIs (OpenAI, Anthropic Claude, Google Gemini, or Azure OpenAI) and building the infrastructure around them: prompt engineering, streaming responses, session and conversation history, cost controls, and per-user usage analytics. Kuhn Consulting builds production-grade implementations, not prototypes.
Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude call external tools and APIs directly. Instead of users copy-pasting data between their tools and an AI, MCP lets the AI query your systems on demand. Kuhn Consulting builds MCP servers that expose your REST APIs as AI-native tools, and also built API2MCP, a platform that automates this for any OpenAPI-documented service.
A minimum viable SaaS backend with authentication, multi-tenancy, subscription billing, and a basic API typically takes 8 to 16 weeks depending on complexity. Kuhn Consulting speeds that up with the Wildwood Platform, a production-tested SaaS backend that already has these pieces built, so new products launch on enterprise-grade infrastructure in a fraction of the time.
Both. Kuhn Consulting builds the application and the infrastructure it runs on: Linux servers, container hosting on Kubernetes, separate staging and production environments, TLS and access control, backups, and monitoring. If you already have a platform team, I work inside what you have. If you don't, I set it up and hand you the runbook that explains it.
It takes the manual steps out of releasing, which is where releases usually go wrong. Every pull request builds and runs the test suite, and a merge only happens if that passes. The change then deploys to staging on its own, and the same verified build gets promoted to production when you're ready. Database migrations run as part of the deploy so environments don't drift, and a bad release rolls back with one command.
Most of it comes down to context, because an AI assistant is only as useful as what it knows about your systems. Kuhn Consulting wires your issue tracker and repository into the development workflow, encodes your API and your conventions as reusable AI skills, and exposes internal services as AI-native tools the assistant can call. The same groundwork that makes an assistant productive makes a new engineer productive, so onboarding tends to get easier as a side effect.
Yes. Kuhn Consulting is based in Eagle, Colorado and works remotely with clients across the United States. Every engagement is handled directly by Mark Kuhn, with no subcontractors or junior developers.
Tell me what you're building, and let's figure out if it's a fit.