Freelancers in ManesarFreelancers in Manesar
Brands, Websites and Product design
$500k+
Earned
35x
Hired
5.0
Rating
511
Followers
Brands, Websites and Product design
6+ years designing & building Websites for growing teams.
$50k+
Earned
16x
Hired
4.9
Rating
217
Followers
6+ years designing & building Websites for growing teams.
Premium Launch Videos for B2B Tech Startups
$25k+
Earned
6x
Hired
5.0
Rating
24
Followers
Premium Launch Videos for B2B Tech Startups
Mobile App Architect • React Native Expert • 50+ App Shipped
$5k+
Earned
1x
Hired
5.0
Rating
18
Followers
Mobile App Architect • React Native Expert • 50+ App Shipped
Cover image for PromptOT – AI Prompts Get
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.
2
1
191
AI Agent Developer & Engineer | MCP, LLM apps, automation
1x
Hired
5.0
Rating
62
Followers
AI Agent Developer & Engineer | MCP, LLM apps, automation