I built a first of its kind idea to launched MVP No-Prompt platform. The app runs your idea through a proper product strategy phase, generates a proper MVP spec that the user can modify, then automatically generates feature by feature prompts with strict agent contracts, spec scope, guardrails, and taste built into every prompt. Then once you’re finished with your MVP it has a distribution workspace for finding users based on your actual product and actual market pain.
Pretty excited to launch next week and we already have a few users. We’re seeing a 60-80% token savings from our prompting engine compared to traditional vibe coding and the code / output quality is great. Mind you this isn’t a wrapper, the idea is this is a workspace you use with the LLM’s you already use, and you can use any LLM or a combination if you choose.
I built a first of its kind idea to launched MVP No-Prompt platform. The app runs your idea through a proper product strategy phase, generates a proper MVP spec that the user can modify, then automatically generates feature by feature prompts with strict agent contracts, spec scope, guardrails, and taste built into every prompt. Then once you’re finished with your MVP it has a distribution workspace for finding users based on your actual product and actual market pain.
Pretty excited to launch next week and we already have a few users. We’re seeing a 60-80% token savings from our prompting engine compared to traditional vibe coding and the code / output quality is great. Mind you this isn’t a wrapper, the idea is this is a workspace you use with the LLM’s you already use, and you can use any LLM or a combination if you choose.
Here’s me blabbing on about the build phase / dynamic prompts in a demo video if you’re curious. https://supercut.ai/share/launchchair/yawrk-drkkqU-Vx686DBXm
We also have a full agent API / MCP so an agent can use the app end to end if you’re into that sort of thing.