What we learn shipping AI features, MVPs and platforms for founders: the decisions, the costs and what breaks after launch.
How to Build an MCP Server for Your Product: Architecture, Auth, and Production Rollout
An MCP server lets AI agents like Claude, ChatGPT and Cursor call your product directly. How to design tools, pick a transport, handle OAuth, and ship it to production.
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AI MVP Development: How to Scope, Build, and Ship an AI Product Past the Prototype Stage
Most AI prototypes never reach production. This guide covers how to scope an AI MVP around a single hypothesis, pick a stack that does not trap you later, and harden the build for real users.
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Voice AI Agent Architecture: How to Build, Optimize Latency, and Decide Build vs Buy
A voice AI agent listens, reasons with an LLM, and answers in a natural voice in real time. How it works, how to build one, and build vs buy.
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Fine-Tuning vs RAG vs Prompt Engineering: How to Choose the Right LLM Strategy for Your Project
Knowledge that changes belongs in retrieval, behavior that must stay consistent belongs in weights, and everything else starts with prompting. A decision framework for adapting an LLM to your own data.
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