Capabilities
What We Build With
Specific tools and techniques we've battle-tested across projects. Each one links to a detailed breakdown of how we use it.
- AI-Powered Development WorkflowsClaude Code, Cursor, and custom CLI tools that let a solo developer ship like a team of ten.
- MCP Server ConfigurationCustom Model Context Protocol servers that give AI agents access to your specific tools and data.
- UI Kit Design & Component SelectionPre-built design systems and curated component libraries that eliminate weeks of frontend work.
- Test-Driven Development SetupAutomated testing infrastructure that catches bugs before they ship and documents behavior as you build.
- Database ArchitectureSchema design, migrations, and optimization for Postgres, SQLite, Supabase, and serverless databases.
- Vector Databases & Semantic SearchEmbeddings, similarity search, and RAG pipelines that let AI reason over your documents and data.
- Data Scraping & ETLExtracting, transforming, and loading data from websites, APIs, PDFs, and legacy systems.
- Synthetic Data GenerationAI-generated test data, edge cases, and realistic datasets for development and testing.
- Multi-AI Service OrchestrationUsing Claude, GPT, Gemini, and local models together to get different perspectives and capabilities.
- Custom Agent DevelopmentPurpose-built AI agents for CLI, IDE, mobile, and web—each interface has different strengths.
- Data Sovereignty ArchitectureLocal-first, privacy-conscious systems where user data stays on user devices.
- Rapid PrototypingFrom idea to working demo in days, not months. Validate before you invest.
- API Integration & DesignConnecting systems, designing clean interfaces, and stealing good ideas from great API documentation.
- Mobile App DevelopmentReact Native and native iOS/Android apps with the same velocity as web development.
- AI Strategy & TrainingHelping teams understand what AI can actually do today and how to use it without producing slop.