I managed to piece together the Minimum Viable Product (MVP) for my AI-powered resume writer in just a few hours. The prototype, while about 60-70% functional, does have some quirks with text areas and input fields not working perfectly. The user experience also needs some refinement—selecting templates is a bit clunky. While it’s a good start, it’s definitely not a Minimum Lovable Product (MLP) yet. (Shifting my mindset from MVP to MLP might be the key, aiming for a product that is not just usable but lovable, something I would be proud to use and commercialize.)
Recording my thoughts first thing in the morning helped me keep track of the workflow that got me to this prototype quickly. I used Voicenotes to record my ideas, producing a cleaned-up version with the built-in voice note feature. Leveraging two particular features—one for creating a blog post and another for cleanup—yielded outputs that suited my needs perfectly.
With the cleaned-up notes, I chose specific content snippets and fed them into the custom chat interface I built yesterday. This interaction broke down the features I needed to focus on today. The result was an insightful MVP backlog and post-MVP priorities for the next couple of days. Additionally, I got pointers for validation, marketing metrics to track, and actionable steps forward, which was pretty exciting.
Working closely with my custom LLM guided the development process. I filtered through the necessary data to construct the UI requirements, delving into the finer details of the product. With the concise summary, I used Claude.ai, which then generated the initial code for scaffolding my application. From that point, I transitioned to Cursor, spending most of my time refining the MVP there. Despite its preliminary state, the MVP is working quite well now!