A self-hosted AI system engineered for speed, privacy, and adaptability. OpenAI-compatible APIs, governed access tokens, and real-time reasoning — all under your control.
How It Works
Kent Wynn AI gives you a private, OpenAI-compatible platform where you can generate tokens, call APIs, and build intelligent tools.
Sign in to generate a scoped X-AI-Token from the console. No extra setup — ready in seconds.
Use any OpenAI-compatible SDK. Point the base URL at api.kentwynn.com and authenticate with your token.
Choose kentwynn/reasoning for chat and logic, or kentwynn/embedding for semantic search and RAG.
Track token usage, manage quotas, and receive notifications from your account dashboard.
Model APIs
Fully compatible with the OpenAI SDK. Stable public aliases — no breaking changes.
Conversational intelligence for logic and context
Powers intelligent conversations and structured decision-making. Understands context, executes logical steps, and delivers real-time responses for chat, automation, or agent workflows.
api.kentwynn.com/v1/chat/completionsTry it →Semantic understanding for search and retrieval
Transforms text into high-precision vectors for semantic search, clustering, and retrieval-augmented generation. Captures deep meaning beyond keywords.
api.kentwynn.com/v1/embeddingsTry it →The Platform
An interconnected suite of AI-powered tools built on the same private infrastructure.
The developer console for the Kent Wynn AI platform. Generate API tokens, test models, monitor usage, and access OpenAI-compatible endpoints.
AI-powered document intelligence platform. Upload documents, classify with AI, generate embeddings, and create public query spaces for semantic search.
One account for every Kent Wynn product
Sign in once with GitHub or Google — your identity works across the entire platform.
Blog
AI Agents
Most multi-agent systems fail in production due to uncontrolled tool-call permissions. Learn how to avoid catastrophic errors with strict approval boundaries and state-aware design.
May 20, 2026
RAG & Retrieval
Poor retrieval quality undermines RAG systems. Learn how chunking, metadata, and stale documents sabotage AI accuracy in production.
May 7, 2026
Embeddings & Vector Search
Discover how chunk boundaries and metadata filters can silently degrade embedding search results in production systems. Learn practical strategies to avoid these pitfalls.
May 6, 2026
About
I'm Kent Wynn, a software and AI engineer who builds systems that think and perform with purpose. My work spans from front-end design to backend logic and AI infrastructure — all focused on speed, clarity, and real-world function.
Currently a Lead Software Engineer at LSEG Data & Analytics in Bangkok, working on enterprise-scale AI-augmented systems including World Check Next Gen, Name Matcher, and low-code data curation platforms.
Support
I'm building AI systems that stay private, fast, and affordable. Your support helps keep this work alive — funding development, hosting, and free access for everyone who wants to build with AI.