The Vibe Coder's Guide to Adding AI Support to Your App

What Is Vibe Coding?

If you're reading this, you probably already know. But for the uninitiated: vibe coding is the practice of building software primarily through AI tools — Cursor, Claude, GitHub Copilot, v0, Bolt, Replit Agent. You describe what you want, the AI writes the code, you iterate on the output.

Vibe coders ship MVPs in days, not months. They build in public, launch on Product Hunt, and iterate based on user feedback. The stack is usually Next.js or similar, deployed on Vercel, with a handful of SaaS tools glued together.

But there's one part of the stack that most vibe coders handle manually: customer support. You ship a beautiful product in a weekend, then spend the next month answering the same questions over and over in your inbox.

That's not very vibe.

The Support Problem for Vibe Coders

Here's the typical vibe coder support journey:

Launch day: Excitement! Users are signing up!
Day 2: "How do I connect my account?" (it's in the docs)
Day 3: "What's the pricing?" (it's on the pricing page)
Day 7: You've answered the same 5 questions 50 times
Day 14: Support is taking more time than building features
Day 30: You're burned out and considering shutting down

Sound familiar? The irony is that you built your product with AI, but you're doing support like it's 2015.

The Fix: AI Support in 10 Minutes

LaunchChat is an AI support widget that answers questions from your documentation. It's built for the vibe coding workflow: fast setup, minimal configuration, and it gets smarter over time.

Here's the actual setup process:

Step 1: Sign Up (1 minute)

Create an account. Free tier includes everything you need to test.

Step 2: Connect Your Docs (2 minutes)

You have three options:

Notion (recommended for vibe coders): Click "Connect Notion," authorize via OAuth, select the pages with your docs. LaunchChat syncs every 30 minutes automatically.

Website crawl: Paste your docs URL. LaunchChat crawls the pages and indexes the content. Good if your docs are already deployed.

File upload: Drag and drop Markdown, Word, or TXT files. Good for README files or standalone docs.

Most vibe coders use Notion because that's where their docs already live. If you don't have docs yet, even a basic Notion page with your FAQ will work.

Step 3: Configure the Widget (2 minutes)

Customize the appearance:

Pick a primary color that matches your brand
Set the widget position (bottom-right or bottom-left)
Write a greeting message ("Hey! Ask me anything about [Your Product]")
Choose your AI model (Claude 3 Haiku is the default — fast and cheap)

Step 4: Embed (1 minute)

Add two lines to your site:

<script>
  window.NotionSupportConfig = { widgetId: 'your-widget-id' };
</script>
<script src="https://launchchat.dev/widget.js"></script>

For Next.js (which most vibe coders use), add it to your layout:

import Script from 'next/script'

export default function Layout({ children }) {
  return (
    <>
      {children}
      <Script id="launchchat-config" strategy="afterInteractive">
        {`window.NotionSupportConfig = { widgetId: 'your-widget-id' };`}
      </Script>
      <Script
        src="https://launchchat.dev/widget.js"
        strategy="afterInteractive"
      />
    </>
  )
}

Step 5: Ship It (0 minutes)

Deploy. The widget is live. Users can now ask questions and get instant, cited answers from your docs.

Total time: under 10 minutes. That's faster than most vibe coders spend on a single Cursor session.

How It Works Under the Hood

For the technically curious (and vibe coders are always curious):

Your docs are parsed into clean text, preserving heading hierarchy
Text is split into ~400-token chunks with overlap
Each chunk is embedded into a 1536-dimensional vector using OpenAI's text-embedding-3-small
Vectors are stored in PostgreSQL with pgvector for fast similarity search
When a user asks a question, it's embedded and compared against all chunks
Top matching chunks are passed to the LLM with instructions to cite sources
If confidence is below your threshold, the AI refuses and offers escalation

This is a standard RAG (Retrieval-Augmented Generation) pipeline. The key difference from a generic chatbot is that the AI can only answer from your docs — no hallucinations.

BYOK: Use Any AI Model

This is where it gets interesting for vibe coders. LaunchChat's BYOK (Bring Your Own Key) feature lets you use any model available on OpenRouter:

Claude 3 Haiku — fast, cheap, great for most support use cases
Claude 3.5 Sonnet — more capable, better for complex technical docs
GPT-4 — if you prefer OpenAI
Llama 3 — if you want to keep costs minimal
Mixtral — good balance of speed and quality

You pay the AI provider directly at their rates. LaunchChat charges a flat $19/month platform fee. No message caps, no per-conversation charges.

For a vibe coder who's already comfortable with API keys and model selection, this is the natural way to do it.

The Knowledge Gap Superpower

Here's the feature that turns a support chatbot into a product development tool.

When users ask questions your docs don't cover, LaunchChat logs them as knowledge gaps. You get:

The exact questions users asked
How many times each gap was hit
AI-drafted article suggestions for each gap

This is pure gold for vibe coders. Instead of guessing what docs to write, you have data. Instead of writing docs from scratch, you have AI-drafted starting points.

The feedback loop is: users ask → gaps detected → you write docs → chatbot improves → fewer gaps → happier users.

Pricing That Makes Sense

Vibe coders are allergic to expensive SaaS subscriptions. LaunchChat's pricing reflects that:

Free: 1 widget, 50 messages/month — enough to test
Pro: $29/month or $229 lifetime — unlimited widgets, 2,000 messages
BYOK: $19/month — bring your own API key, unlimited messages

The lifetime deal is the vibe coder special. Pay once, never think about it again. Your support chatbot just works, forever, while you focus on building.

What Vibe Coders Are Building With LaunchChat

Some real use cases from the community:

SaaS products: Embed the widget on the marketing site and inside the app dashboard
Open source projects: Point it at the README and docs site, let contributors self-serve
Course platforms: Train it on course content so students get instant help
API products: Feed it your API docs so developers can ask integration questions
Chrome extensions: Embed on the landing page to handle pre-purchase questions

The common thread: these are all products built by small teams (often one person) who can't afford to spend hours on support.

Get Started

The vibe coding philosophy is: try it, ship it, iterate. LaunchChat fits that workflow perfectly.

Sign up free
Connect your Notion docs (or upload a README)
Embed the widget
Ship

Your AI support agent is live. Go back to building.