Vibe-coding? Here is how to research app ideas and generate proper prompts for AI.
"Am I building the right app?"
"Am I giving the right prompt so AI builds what I actually need?"
If you've used an AI coding platform, you've felt this. It's the classic vibe-coder's dilemma.
You have a brilliant idea, a "vibe." The dream is to whisper this vibe to an AI and watch a fully-formed, successful application appear. But reality is often more frustrating. You spend hours prompting, debugging, and re-prompting, only to face two terrifying questions:
The Validation Fear: What if I build this entire thing... and no one wants it? Am I just building in a vacuum?
__The Translation Fear: __ What if the AI just doesn't get it? Am I stuck in a "garbage in, garbage out" loop, where my poorly-worded prompt leads to a messy, unworkable codebase?
You're caught between the fear of building the wrong thing and the frustration of not being able to build the right thing efficiently.
Bridge the Gap: From Idea to Structured Prompt
This dilemma is exactly why we built our new validation tool. It's a bridge that takes your raw "vibe" and transforms it into a validated, buildable plan.
☞ Try out the tool here: https://vibeprompt.avery.domains/
Here's how it works:
De-risk Your Idea: First, it tackles the "validation fear." You input your app concept, and the tool gets to work. It researches your idea across social media and forums to see if there is real, measurable demand. But it doesn't stop there. It also identifies existing competitors in the space, so you know what you're up against. It analyzes what people are already complaining about or wishing for, and then suggests core features and functionality based on that real-world data, helping you find your unique edge.
Generate the Perfect Prompt: Next, it solves the "translation fear." Instead of you trying to guess the magic words, the tool takes that data-driven blueprint—complete with competitor insights and validated features—and generates a proper, structured prompt optimized for AI. This prompt contains the user stories, feature requirements, and technical specifications, all formatted to be perfectly understood by any AI coding platform—including Avery by GoodGist.
The Proof is in the Product
You go from a vague "vibe" to a confident, data-backed plan and the exact prompt to start building. You're no longer guessing if people want it, you know who the competition is, and you're no longer fighting the AI to understand you.
☞ See a 30-second demo on YouTube: https://www.youtube.com/watch?v=yoa0kCni6WU
And the best part?
✨ This validation tool itself was built with Avery - our AI Virtual Engineer for Reliable Yield - an autonomous software development platform.
We used our own process to go from "vibe" to validation to a finished product. Stop the guesswork and start building what you know people need.
Really love this approach! The way it turns a vague idea into a structured, data-backed plan is super practical. It reminds me of my own project where we calculate the age of events and ideas in detail here
—having precise numbers over time helps you make smarter decisions and validate concepts efficiently. Definitely giving this a try for my next project!
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@adenholding
This is a fantastic framing of the problem, Ruban. The "Validation Fear" and the "Translation Fear" are so real for anyone trying to build something new. The idea of a bridge from a raw "vibe" to a validated, structured prompt is a brilliant solution.
It's fascinating how this exact same dilemma shows up in the world of tech careers. So many talented engineers have the "vibe"—they know they have the skills to be a great SRE or Data Engineer—but they struggle with the two big fears:
The Validation Fear: "What if I study for 3 months... and still fail the interview?"
The Translation Fear: "What if the interviewer just doesn't get what I'm trying to explain?"
That's the gap I'm trying to bridge with my project, Ace Interviews. We build blueprints that take the raw "vibe" of a skilled engineer and transform it into a structured, confident performance that interviewers understand and value.
It's awesome to see you building a tool to solve this for product development. The fact that you built the tool with your own platform is the ultimate proof. Great work!