Every team building with LLMs hits the same wall: prompts hardcoded in the codebase, no version history, no roll back when something breaks production. PromptOT fixes this. Build Prompts automatically in typed blocks. Version every change. Evaluate across GPT-4o, Claude, and Gemini. Ship via one API call - no deploy, no PR, no downtime, no switching on multiple tabs. Change a production prompt in 10 seconds without touching your codebase. Your code has GitHub. Your prompts now have PromptOT.
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Hey PH - I am Satya, Founder one of the team behind PromptOT.
We built this after a real production incident. Someone on our team edited a system prompt directly in the codebase. The AI started hallucinating. We had no version history, no diff, no rollback. Four hours to find one changed line.
That should not happen. So we built the tool that prevents it.
PromptOT gives prompts the same infrastructure code already has - typed blocks, version control, evaluation, and API delivery. Change a production prompt in 10 seconds without a deploy.
We have been building this since November 2025. 16 signups in our first month. One team signed up and immediately invited their entire team of 5. That is the signal we are building on.
We are fully live, free to start, and genuinely want your feedback - especially if you have hit this problem before.
What does your team currently use to manage prompts? Curious to hear how others are solving this.
the block-based composition is lowkey genius — breaking prompts into role, context, instructions, guardrails separately instead of one giant messy string is such a better way to think about it. makes editing so much cleaner. just tried it and already can't imagine going back 😄 great job on this one!
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@pratham_sharmaThis made our day - thank you!
That exact frustration is what drove the design. One giant string means changing one thing risks breaking everything else. Blocks give you surgical control.
The fact that you already can't imagine going back is exactly what we were building toward. Welcome to PromptOT!
Hey PH! Nishant here, Builder on the PromptOT team
The moment this became obvious to me was when a code review where one line had changed inside a prompt string buried in a service file. No one flagged it and It shipped. The behavior change took days to trace back.
We have decades of tooling to protect code from exactly this. Almost nothing exists for prompts.
PromptOT is our answer, it has version control, typed blocks, eval, and API delivery and even MCP server to connect with your AI coding agents. The same discipline we apply to code, applied to prompts.
If you're building AI products and have strong opinions on prompt management please reply.
We're early and that feedback is everything.
The GitHub comparison makes total sense. We version every line of code but our prompts have been living in a shared Google Doc with track changes. That ends today hopefully!
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@parth_srivastava4 Exactly! have been hitting that wall for so long and used to save all important prompts in a notion file but it got pilled up that I had to build it for myself and after talking to many dev and founder friends I decided to launch it!
Really clean UI. Most prompt tools I have tried feel like they were built by engineers for engineers. This actually looks like something a product manager could use too.
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@khushali_sharma Thank you so much this means a lot to hear.
That was a very deliberate design decision. Prompts are not just an engineering problem your legal team has opinions on guardrails, your content writer knows the tone, your domain expert knows the context. None of them should need to open a codebase to contribute.
PromptOT was built so the whole team can work on prompts together. Engineers set the structure, everyone else contributes to the content. No code required.
Would love to hear what your current prompt workflow looks like if you are open to sharing!
Congrats on the launch! How are you handling prompt versioning for teams working across multiple LLM provider
Congratulations! The problem is so real - we have a folder called prompts_final_v3_ACTUAL and I am not proud of it.
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@tarun_pratap_singh1 Don't worry mate, PromptOT got you from now! and V3 is still better i have had v25 lol!