Master Lovable AI & Vibe Coding: 5 Projects Step by Step

Learn to enhance the lovable app output with design-focused techniques by adding hero-section animations, animated call-to-action buttons, and a looping background pattern, without worrying about technology.

Generate the initial landing page in Lovable for Gurnani School, a WIP coding tuition program, featuring a hero, icons, hover animations, and a call to action, then enhance the UI.

Replace the hero section with a playful user interface by copying a design from 21st dev into the lovable app, using a prompt to customize hero and transform the page.

Apply an animated, shimmer call to action button in the hero section by copying a design from 20 first.dev and pasting it into lovable for enroll now call to action.

Add an animated flickering grid background behind the hero using lovable and 21st dev, by copying a pattern prompt and generating output to enhance the hero experience and cta.

Create an AI portfolio chatbot for the website that pulls resume data from Google Docs and responds via ChatGPT, focusing on the portfolio chatbot aspect.

Build a lightweight no-code AI chatbot for your website using Lovable Dev and Make.com that pulls answers from a Google Doc knowledge base and uses ChatGPT to respond.

Create a new scenario in Make.com, add a custom webhook named for a portfolio site, and save to generate the webhook URL used by lovable.

Learn to connect your Make.com scenario to Google Docs, convert Word documents to Google Docs, and ensure the webhook reads Google Docs only by selecting the correct document type.

Add the ChatGPT module in make.com by connecting to OpenAI with your API key and organization ID, then configure user and system prompts using Google Doc resume and chat history.

Add the webhook response module to store the ChatGPT answer in the Make.com workflow, using OpenAI variables such as choices, messages, and content to capture a dynamic per-question result.

Build and test a lovable chat widget that connects to a Make.com webhook, using a resume stored in Google Docs and Google Drive to feed a chat with ChatGPT.

Test the chatbot with random, out of syllabus questions and observe its responses. Enforce knowledge base restriction to avoid external information, ensuring accurate, constrained AI behavior.

Test the chatbot's handling of out-of-syllabus questions and enforce strict use of the knowledge base, restricting responses to provided information while exploring ai applications and enterprise systems integration.

Demonstrate a voice agent embedded on a doctor's website to book appointments by voice, sync them to Qualcomm's calendar, and send email notifications.

Create a voice ai agent on Milly's platform, connect to Qualcomm for bookings and calendar, provide multilingual voice and knowledge base, then embed it in the app via an iframe.

Sign up for Millie's ai, create an account, and sign in; search for Millie's ai, identify the correct site, then view the blank voice agent screen to start building.

Log in, open the dashboard, and create a voice agent by naming it and clicking create agent; explore the agent interface as upcoming sections will cover its features.

Configure and customize the voice AI agent by changing its name, selecting a latency-optimized model, choosing a voice such as Amelia, and enabling English language for Luvabulls integration.

Upload a doctor profile into a pdf knowledge base, extracting education, training, speciality, designation, timings, and fees to empower a voice agent for appointment booking.

Explore optional function calling by configuring webhooks and web forms in the console, learn how to handle get and post requests, and collect user data such as email and phone.

Integrate Calcom with Millie's AI to sync calendars, set availability, and test booking by configuring API keys, event IDs, and booking slots.

Configure additional settings to integrate Millie's AI with lovable, including webhook settings for pre and post flows, greetings customization, transfer to human agent, and enabling call recording.

Test and refine a voice ai agent to book doctor appointments, leveraging a knowledge base and tools, with a concise, empathetic prompt guiding patient interactions.

Demonstrate testing a voice agent for booking appointments with Doctor Krishna, handling slot availability, conflicts, and confirmation messages using Friday morning slots and Cal.com.

Embed Milly’s AI via an iframe on a Lovable.dev app, then build a landing page with voice capability and appointment booking. Test image updates and page cloning.

Book the earliest Friday 10:15 a.m. appointment with Doctor Krishna, confirm it in cal.com calendar, and verify the email confirmation to ensure a smooth scheduling demo.

Built and deployed a voice AI agent with Millie's AI, achieving under 600 ms latency for near-human conversations, integrated with Calcom for meeting scheduling, customized via 11 labs on Lovable.

Learn to build an invoice generator with no code using lovable frontend, a back-end workflow, HTML-to-PDF conversion, Google Drive storage, and automated email delivery.

Design the frontend interface using lovable, guided by ChatGPT prompts, to build a responsive invoice form with fields for invoice number, customer name, customer email, amount, date, and description—no backend.

Build a backend workflow in n8n by creating a webhook post node, retrieving a webhook url, and connecting lovable to send invoice data to the workflow for testing.

Perform end-to-end test integration from lovable to n810 by listening for test events, submitting invoices, and confirming that invoice fields: number, name, email, date, amount, description appear in n810.

Convert data from lovable into HTML with an init n workflow, then feed HTML to a PDF tool to generate invoices, replacing hard-coded values with dynamic variables via ChatGPT templates.

Improve invoice design by selecting an invoice template from Google, refining html with ChatGPT to resemble the template, and converting to a professional pdf.

Convert html to pdf using pdfshift by extracting an api key, importing the curl command, and sending the html input to generate a pdf.

Upload a generated pdf invoice to Google Drive, select the drive and invoice folder, authenticate with OAuth 2.0 or a service account, and name files by invoice number.

Connect Gmail to send customer invoices generated from lovable to net10, converting HTML to PDF stored on Google Drive using webhook data such as customer email, name, and description.

Users submit a form and receive a PDF invoice by email, with invoices stored on Google Drive. Build end-to-end workflow using Lovable and Nh10 with no coding.