From Idea to MVP in a Day with AI: A Beginner’s Guide | Part 2 💡
We fed ChatGPT the problem statement, idea statement and JBTD we defined in the previous post, along with other relevant context for this build. Including the requirement that it needs to be built in one day (8 working hours), with no-code tools and by a complete beginner. It concluded that the product is feasible and that no-code tech allows us to build an MVP in a day. Here it is:
Feasibility Analysis (ChatGPT) 🧠
*“A product that performs these JTBD and can be built with no-code tools in a day by a beginner is totally feasible. Modern chatbots can ask founders about their problems, goals, budget, and timeline. They can check feasibility and HOP fit, deliver clear guidance, and book calls.”
*We asked it to suggest two different tech stacks to build with. After a couple of prompts, we ended up with Lovable, Bubble and v0 as the shortlist. Its next task was to objectively compare them on a set of criteria including ease of setup, beginner-friendliness, build velocity and cost.
Here is the verdict:
“Loveable wins for an absolute beginner chatbot project: it requires almost no setup, uses plain English prompts, and can yield a working multilingual chatbot UI in minutes. Its cost is modest ($25/mo for Pro), and the no-code experience generalizes to building other web apps.”
Great, let’s go with Lovable! 🎯
Next we pitched the product idea, the problem statement, JTBD and other relevant context to Lovable itself and asked it to analyse the feasibility of building it out end-to-end natively. It suggested two different build approaches for this product. Here is what we got:
*“Modern no-code platforms can handle conversational interfaces beautifully. Your chatbot needs to collect information, provide responses, and trigger actions. That's exactly what these tools excel at.
The core requirements break down into manageable components:
💬 Interactive conversation flow
📥 Data collection and validation
🧠 Basic logic and routing
📅 Calendar integration for booking
📊 Simple analytics
No complex AI training required. No backend infrastructure. Just smart form logic wrapped in a conversational interface.”*
Approach 1: Smart Form Chatbot 🤖
A conversational interface that feels like chatting but works like a smart, multi-step form.
Approach 2: Guided Discovery Widget 🧭
An interactive assessment tool that guides users through a structured discovery process.”
We chose Approach 1.
We suppose that the conversational style experience is more appropriate for potential prospects than a structured process. We suppose they might prefer at this point to get their questions about House Of Product answered before they tell us about their product idea. This experience hypothesis will of course be tested with this first prototype.
In the next post we will start building out this product with Lovable! 🛠️
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