Shipkit
For non-technical founders

AI MVP Development.

AI MVPs need more than a chat box. Shipkit helps non-technical founders design the workflow, connect the right model or API, manage user data, and launch a product that feels useful from day one.

What is included

  • AI workflow and prompt/system design
  • OpenAI, Claude, Gemini, or API integration planning
  • User accounts, usage flows, and result dashboards
  • Admin controls and monitoring needs
  • Production deployment with your code and infrastructure

Process

Step 1

Define what the AI feature must do for the user

Step 2

Prototype the input, model call, output, and fallback behavior

Step 3

Build the surrounding product workflow and admin controls

Step 4

Test with real examples and launch the first usable version

Proof point

Shipkit already targets AI-ready MVPs and has supporting content around AI tools, RAG apps, and founder-friendly product planning.

Questions founders ask

What kind of AI MVPs can Shipkit build?

Common fits include AI document assistants, workflow automation, smart dashboards, content tools, support assistants, and products that use LLM APIs as part of a larger product flow.

Do I need my own AI model?

Usually no. Most MVPs should start with proven APIs such as OpenAI, Claude, Gemini, or specialized providers before investing in custom models.

Can the MVP include admin controls?

Yes. For AI tools, admin controls are often important for prompts, usage, cost monitoring, content review, and user support.

Which AI tools are most effective for building an MVP quickly?

For the product itself the model matters far less than the workflow around it — an MVP is judged on whether the result can be reviewed, corrected and paid for, not on which provider generated it. AI coding tools are genuinely fast at getting a prototype in front of users, and the question that follows is whether the result carries real traffic and payments; a $490 Production Readiness Audit answers that on an existing codebase in 2 days.

How long does an AI MVP take to build?

4-6 weeks for a Production MVP starting at $14,900, and 6-9 weeks for a larger build starting at $24,900. Model integration does not change those ranges by itself — scope does: the number of user-facing workflows around the model is what moves the timeline, not the model call.

Who owns the code and the model integrations?

You do, from day one, including prompts, evaluation logic and integration code. The repository is in your account from the first commit. API keys for third-party model providers are issued in your name, so nothing about running the product afterwards depends on us.

Final Step

Ready to turn your
idea into a real
product?

Book a free founder call. We'll help you figure out what to build first, what it'll cost, and how fast we can launch it.

Limited availability — email alex@shipkit.us or use the contact page to start the conversation.