Promptables LENS - Complete User Guide

Promptables LENS: Complete User Guide

What is Promptables LENS?

Promptables LENS is a specialized frontend quality control tool designed to analyze AI-generated code and detect common UI/UX issues, broken logic, missing connections, and integration gaps. It's specifically built for non-technical users who build through "vibe coding" with AI assistants like Lovable.dev, Bolt.new, Cursor, and Vercel v0.

Quick Start Guide

1
Connect Your AI Coder to GitHub
Hook up your AI coding software (Cursor, Bolt.new, etc.) to www.GitHub.com
2
Navigate to Your Repository
Go to main > components > find your page section (e.g., AboutSection.tsx, ServicesSection.tsx)
3
Get the Raw File URL
Click on the appropriate file, then click the "Raw" button in the top right
4
Analyze with LENS
Copy the raw URL and paste it into Promptables LENS as your first prompt
Important: Only analyze one component at a time for best results. Process each file individually before moving to the next.

What LENS Detects

Visual & Layout Issues

  • Missing proper JSX structure
  • Background images not displaying properly
  • Broken HTML elements
  • Non-responsive design issues
  • Missing semantic HTML structure
  • Layout inconsistencies

Functionality Issues

  • Buttons without click handlers
  • Missing navigation logic
  • Broken form submissions
  • API connection problems
  • Missing error handling
  • Undefined variables or functions

Content & UX Issues

  • Missing accessibility features
  • Poor content structure
  • Incomplete interactive elements
  • Missing alt text for images
  • Broken user flows

How LENS Works

1. Code Analysis

LENS fetches your component code from the GitHub raw URL and performs a comprehensive analysis of the structure, functionality, and user experience elements.

2. Issue Detection

The tool identifies problems across three main categories: Visual & Layout, Functionality, and Content & UX issues.

3. Actionable Checklist

You receive a clear checklist of all detected issues in an easy-to-scan format.

4. Fix Prompts

For each issue, LENS provides natural-language prompts you can paste directly into your AI coding assistant to request fixes.

Best Practices

Writing Better Prompts

  • Be Specific: Instead of "fix this button," use the exact prompt LENS provides
  • One Issue at a Time: Address each checklist item individually
  • Include Context: Mention the component name and specific functionality
  • Test Incrementally: Re-analyze after each major fix

Optimizing Credit Usage

Credit-Saving Strategies:

  • Batch Similar Components: Analyze components of the same type together
  • Focus on Critical Issues: Address functionality problems before minor styling
  • Use Targeted Analysis: Only analyze components you suspect have issues
  • Learn Patterns: Note common issues to prevent them in future components

Common Pitfalls & How to Avoid Them

Common Mistakes

  • Analyzing multiple components at once
  • Ignoring the provided prompts and writing your own
  • Not re-analyzing after major changes
  • Focusing only on visual issues
  • Using incomplete or expired GitHub URLs

Best Approaches

  • One component per analysis session
  • Copy-paste the exact prompts provided
  • Regular quality checks during development
  • Address functionality before aesthetics
  • Always use fresh raw GitHub URLs

Real-World Use Cases

Case Study: E-commerce Product Page

Issue Detected: "Add to Cart" button missing click handler
LENS Prompt: "Add a click handler to the 'Add to Cart' button that adds the product to the shopping cart state and shows a confirmation message."
Result: Fully functional cart integration in minutes

Case Study: Contact Form

Issue Detected: Form submission not connected to backend
LENS Prompt: "Connect the contact form to send emails using your backend API endpoint and add proper form validation."
Result: Working contact form with validation and email delivery

Case Study: Navigation Menu

Issue Detected: Mobile menu not responsive
LENS Prompt: "Make the navigation menu responsive with a hamburger menu for mobile devices and smooth animations."
Result: Mobile-optimized navigation experience

Integration Workflow

Development Cycle with LENS

  1. Build Initial Component - Create your component with AI coding assistant
  2. Push to GitHub - Commit your component to version control
  3. Analyze with LENS - Get quality control report
  4. Apply Fixes - Use provided prompts to fix issues
  5. Re-analyze - Verify fixes and catch any new issues
  6. Deploy - Ship confident in your component quality

Team Collaboration

Pro Tip: Share LENS analysis reports with your team to maintain consistent code quality standards across all components. The checklist format makes it easy for non-technical stakeholders to understand issues.

Troubleshooting

Common Issues & Solutions

GitHub URL Not Working?

  • Ensure you're using the "Raw" button URL
  • Check that the repository is public or you have access
  • Verify the file path is correct
  • Try refreshing the GitHub page and getting a new URL

LENS Not Detecting Issues?

  • Your component might be well-structured (good news!)
  • Try analyzing a more complex component
  • Ensure the file contains actual component code, not just imports
  • Check that the component has interactive elements to analyze

Advanced Tips

Maximizing LENS Effectiveness

  • Pre-Analysis Prep: Review your component visually before LENS analysis
  • Priority Fixing: Address critical functionality issues first
  • Documentation: Keep track of common issues for future reference
  • Regular Audits: Use LENS for periodic code quality reviews

Building Better Components from the Start

Prevention Checklist:

  • Always include click handlers for interactive elements
  • Plan responsive design from the beginning
  • Include proper accessibility attributes
  • Test API connections during development
  • Use semantic HTML structure
  • Include error handling for all user interactions

Ready to Start?

Promptables LENS is your quality control partner for building better frontend components. Start by connecting your AI coder to GitHub, grab a component URL, and let LENS guide you to production-ready code!

Remember: One component at a time, follow the provided prompts exactly, and re-analyze after fixes for the best results.