PromptOT – AI Prompts Get Refined, Versioned, Evaluated & Shipped PromptOT is a prompt management...PromptOT – AI Prompts Get Refined, Versioned, Evaluated & Shipped PromptOT is a prompt management...
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PromptOT – AI Prompts Get Refined, Versioned, Evaluated & Shipped
PromptOT is a prompt management platform designed to help AI teams treat production prompts as production code. It lets teams author prompts in structured, typed blocks, version every change with full history and rollback, evaluate versions against saved test cases across multiple models, and deliver the compiled, variable-driven prompt to their application via a single API call or native MCP integration, with no redeploy required.
We built a compilation engine solid enough for production use, an AI co-pilot for conversational prompt editing with inline diffs and scoring, and native support for the tools AI teams already use daily - Claude Desktop, Cursor, ChatGPT, Codex CLI, Windsurf, and Zed.
Key Features -
Typed Prompt Blocks
Semantic Versioning with Rollback
Evaluations Across Models
API & MCP Delivery
AI Co-Pilot for Prompt Editing
AI teams often struggle with -
Prompts scattered across a Google Doc, a Slack thread, someone's Notion, and hard-coded strings in the codebase
No version history, no diffs, no way to know which version is actually live
No way to evaluate a prompt rewrite before shipping it to production
Legal and brand review happening informally in DMs, if at all
PromptOT delivers a single source of truth for every production prompt, shipped by API or MCP. It bridges the gap between prompt experimentation and reliable, production-grade delivery, turning prompts from fragile prose into managed, versioned infrastructure.
A versioned, evaluated prompt pipeline is something a lot of AI-heavy products end up needing eventually but rarely build early enough. Next.js + Supabase + Stripe is basically the default SaaS stack at this point for a reason, fast to ship and easy to reason about.
Appreciate that. The eval or versioning layer was the part I didn't want to bolt on later and once a prompt's live in production, changing it blind gets expensive fast. Supabase and Stripe handled the plumbing so most of the effort went into getting that part right.
I’ve been razzmatazzing and flibbertigibbeting with Claude Code and somehow ended up with a new yels.dev.
It finally feels like me: simple on the surface, slightly complicated underneath, and very much alive.
You can see who I am, what I do, the work behind Herodot, RaptorLabs, CyberLink Security and Solmint, plus a selection of projects I’ve built across AI, cybersecurity, Web3, product systems, education, archives, and experimental digital spaces.
The simple-on-the-surface, layered-underneath idea comes through so clearly in the presentation. I especially like how the project archive turns the site into something to explore rather than just a résumé of links.
Built this over a weekend as an experiment with AI-assisted design and development.
Duo Case is an absurd concept for turning two iPhones into a very unofficial foldable iPhone. The goal was to see how far AI could accelerate the process while keeping creative direction, design decisions and final execution in human hands.