Learn to 'vibe code' a personalized party hub app using Lovable for the structure, Google Fonts for typography, and Midjourney for custom visuals. This workflow takes you from a generic AI template to a unique, 'farm-to-table' application with custom features like dietary restriction tracking.
with Claire Vo
Start in Lovable with a simple, direct prompt outlining the core features you need for your party hub. This will create the initial functional but generic version of your application.
I prompted lovable to give me a Thanksgiving party hub for managing invites, dishes, shared recipes and photos.Elevate the design by choosing a font pairing from a source like Google Fonts or Canva's Font Combinations. Then, instruct Lovable to implement your chosen fonts for the headlines and body text.
I want to use Google fonts. Homemade apple for the headlines and railway for the body.Use an image generator like Midjourney to create a unique header image. Use style references and adjust the aspect ratio to fit your app's banner. Then, upload the image and use a multi-part prompt in Lovable to set it as the background and update the page title and copy.
Here is the image I want for the background. I also want the title of the page to be Claire's Thanksgiving Feast. And all the copy to be more personalized around Claire hosting Thanksgiving at home.Add functionality specific to your needs, like managing dietary restrictions. Be specific with your language to get the desired UI component, such as using the term 'multi-select' to get checkboxes.
Let's add dietary preferences, restrictions to the guest list. Let's start with a multi-select of the most common ones.Create a more advanced data model by prompting Lovable to link different features together. For example, instruct it to use the dietary restrictions as tags for the potluck dishes so guests know what they can eat.
Take these restrictions and add tags to the dishes so people can call out common allergens in in their dish, or, um, ingredients.
Follow Sahil Lavingia's method for delegating small but impactful maintenance tasks, like fixing an internal Slack report, to the AI agent Devin. This workflow shows how to use simple, clear prompts to fix code and update system prompts without distracting your engineering team.
Learn Gumroad CEO Sahil Lavingia's process for rapidly prototyping a UI with v0, then using the AI agent Devin to autonomously code, implement, and submit the feature for review, turning a multi-day task into a one-hour workflow.
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