ai tools
Prompt Improver
AI-powered tool that transforms basic marketing prompts into compelling, conversion-focused copy using Claude, GPT-4, and advanced prompt engineering techniques.
Next.js 14TypeScriptClaude APIOpenAI GPT-4Google GeminiTailwind CSSFramer MotionVercel Edge
Explore Project
Project Impact
This project demonstrates the transformative power of AI in marketing, delivering measurable results and setting new industry standards.
Templates
Custom1 Label
28 Professional
Custom1 Value
AI Models
Custom2 Label
Multi-Provider
Custom2 Value
Project Details
Categoryai tools
CompletedNovember 30, 2024
Statuspublished
<h1>Prompt Improver</h1>
<h2>Overview</h2>
<p>Prompt Improver is a sophisticated AI-powered tool that transforms basic marketing prompts into compelling, conversion-focused copy. Built with enterprise-grade security and multi-model AI integration, it provides marketing professionals with 28 professional templates across 6 categories to enhance their prompt engineering capabilities.</p>
<h2>The Problem</h2>
<p>Marketing professionals struggle with creating effective AI prompts that consistently generate high-quality, conversion-focused content. Common challenges include:</p>
<ul>
<li><strong>Inconsistent AI Output Quality</strong>: Basic prompts produce variable results</li>
<li><strong>Time-Consuming Iteration</strong>: Manual prompt refinement takes hours</li>
<li><strong>Lack of Structure</strong>: Unstructured prompts lead to unfocused responses</li>
<li><strong>Security Concerns</strong>: Handling sensitive marketing data requires robust protection</li>
</ul>
<p>I built Prompt Improver to solve these challenges with advanced prompt engineering and enterprise security.</p>
<h2>Technical Architecture</h2>
<h3>Multi-Model AI Integration</h3>
<p>The core system supports multiple AI providers with intelligent fallback:</p>
<pre><code class="language-typescript">// Multi-provider AI enhancement system
export async function enhancePrompt(
prompt: string,
provider: 'claude' | 'gpt-4' | 'gpt-3.5' | 'gemini' | 'auto' = 'auto'
) {
const providers = {
claude: () => callClaude(prompt),
'gpt-4': () => callOpenAI(prompt, 'gpt-4'),
'gpt-3.5': () => callOpenAI(prompt, 'gpt-3.5-turbo'),
gemini: () => callGemini(prompt),
auto: () => selectBestProvider(prompt)
}
return await providers[provider]()
}
</code></pre>
<h3>Advanced Security Implementation</h3>
<p>Enterprise-grade security with comprehensive protection:</p>
<pre><code class="language-typescript">// Multi-tier rate limiting with cost tracking
export const rateLimiter = new RateLimiter({
windowMs: 60000, // 1 minute
maxRequests: {
authenticated: 10,
anonymous: 5
},
maxTokens: {
authenticated: 50000,
anonymous: 10000
},
costLimits: {
perMinute: 0.50,
perDay: 10.00
}
})
</code></pre>
<h3>Template System Architecture</h3>
<p>Professional template library with variable highlighting:</p>
<pre><code class="language-typescript">// Template categories with 28 professional prompts
export const templateCategories = {
'sales-pitches': 5, // templates
'outreach-emails': 5,
'competitor-research': 5,
'marketing-research': 4,
'proposal-writing': 4,
'linkedin-content': 5
}
// Variable highlighting in textarea
export function highlightVariables(text: string) {
return text.replace(/\{([^}]+)\}/g,
'<span class="bg-blue-100 text-blue-800 px-1 rounded">{$1}</span>'
)
}
</code></pre>
<h2>Key Features Deep Dive</h2>
<h3>1. Professional Template Library</h3>
<p>28 carefully crafted templates across 6 marketing categories:</p>
<ul>
<li><strong>Sales Pitches</strong>: Cold outreach, product demos, objection handling</li>
<li><strong>Outreach Emails</strong>: Influencer partnerships, media relations, networking</li>
<li><strong>Competitor Research</strong>: Analysis frameworks, positioning studies</li>
<li><strong>Marketing Research</strong>: Customer surveys, market analysis, trend research</li>
<li><strong>Proposal Writing</strong>: Service proposals, partnership pitches, RFP responses</li>
<li><strong>LinkedIn Content</strong>: Thought leadership, networking, personal branding</li>
</ul>
<h3>2. Multi-Model AI Enhancement</h3>
<p>Intelligent provider selection based on prompt type:</p>
<ul>
<li><strong>Claude</strong>: Complex reasoning and structured output</li>
<li><strong>GPT-4</strong>: Creative content and nuanced writing</li>
<li><strong>GPT-3.5</strong>: Fast processing for simple enhancements</li>
<li><strong>Gemini</strong>: Alternative perspective and fact-checking</li>
<li><strong>Auto Mode</strong>: Selects optimal provider based on content analysis</li>
</ul>
<h3>3. XML Structure Mode</h3>
<p>Generate structured prompts for consistent AI outputs:</p>
<pre><code class="language-xml"><prompt>
<context>Marketing campaign for SaaS product</context>
<task>Create compelling email subject line</task>
<requirements>
<tone>Professional but approachable</tone>
<length>5-7 words</length>
<include>Value proposition</include>
</requirements>
<output_format>Single subject line with A/B variant</output_format>
</prompt>
</code></pre>
<h3>4. Performance Analytics</h3>
<p>Real-time feedback on prompt improvements:</p>
<ul>
<li><strong>Token Usage Tracking</strong>: Monitor API costs per enhancement</li>
<li><strong>Quality Analysis</strong>: Before/after comparison metrics</li>
<li><strong>Provider Performance</strong>: Success rates by AI model</li>
<li><strong>Cost Optimization</strong>: Recommendations for efficient usage</li>
</ul>
<h2>Security & Authentication</h2>
<h3>JWT-Based Authentication</h3>
<p>Secure session management with httpOnly cookies:</p>
<pre><code class="language-typescript">// Secure authentication flow
export async function authenticateUser(password: string) {
const hashedPassword = await bcrypt.hash(password, 10)
if (bcrypt.compareSync(password, process.env.ACCESS_PASSWORD_HASH)) {
const token = await new SignJWT({ authenticated: true })
.setProtectedHeader({ alg: 'HS256' })
.setExpirationTime('24h')
.sign(new TextEncoder().encode(process.env.JWT_SECRET))
return { success: true, token }
}
return { success: false }
}
</code></pre>
<h3>Input Validation & Sanitization</h3>
<p>Comprehensive protection against XSS and injection attacks:</p>
<pre><code class="language-typescript">// Input sanitization and validation
export function sanitizeInput(input: string): string {
return input
.replace(/<script\b[^<]*(?:(?!<\/script>)<[^<]*)*<\/script>/gi, '')
.replace(/javascript:/gi, '')
.replace(/on\w+="[^"]*"/gi, '')
.trim()
}
</code></pre>
<h2>Performance Optimization</h2>
<h3>Vercel Edge Functions</h3>
<p>Globally distributed with 30-second timeout for AI processing:</p>
<pre><code class="language-typescript">// Edge-optimized API configuration
export const runtime = 'edge'
export const maxDuration = 30
export async function POST(request: Request) {
const startTime = Date.now()
try {
const result = await enhancePrompt(prompt, provider)
return Response.json({
...result,
processing_time: Date.now() - startTime
})
} catch (error) {
return handleError(error)
}
}
</code></pre>
<h3>Caching Strategy</h3>
<p>Application-level caching with Claude's prompt caching:</p>
<pre><code class="language-typescript">// Intelligent caching for repeated prompts
export class PromptCache {
private cache = new Map<string, CachedResult>()
async get(promptHash: string): Promise<CachedResult | null> {
const cached = this.cache.get(promptHash)
return cached?.expiry > Date.now() ? cached : null
}
set(promptHash: string, result: any, ttl: number = 3600000) {
this.cache.set(promptHash, {
result,
expiry: Date.now() + ttl
})
}
}
</code></pre>
<h2>Development & Testing</h2>
<h3>Comprehensive Testing Suite</h3>
<p>Playwright E2E tests with overflow detection:</p>
<pre><code class="language-typescript">// Textarea overflow detection test
test('Template content fits in textarea without overflow', async ({ page }) => {
await page.goto('/prompt-improver')
for (const template of templates) {
await page.selectOption('[data-testid="template-select"]', template.id)
const textarea = page.locator('[data-testid="prompt-textarea"]')
const scrollHeight = await textarea.evaluate(el => el.scrollHeight)
const clientHeight = await textarea.evaluate(el => el.clientHeight)
expect(scrollHeight).toBeLessThanOrEqual(clientHeight + 10) // 10px tolerance
}
})
</code></pre>
<h3>QA Tool Integration</h3>
<p>Test mode for automated testing and CI/CD:</p>
<pre><code class="language-typescript">// Bypass authentication for testing
export async function middleware(request: NextRequest) {
const isTestMode = process.env.NODE_ENV === 'test' ||
request.headers.get('x-test-key') === process.env.TEST_API_KEY
if (isTestMode) {
return NextResponse.next()
}
return authenticateRequest(request)
}
</code></pre>
<h2>Technical Challenges & Solutions</h2>
<h3>Challenge 1: Multi-Model Integration Complexity</h3>
<p><strong>Problem</strong>: Different AI providers have varying response formats and rate limits
<strong>Solution</strong>: </p>
<ul>
<li>Built unified abstraction layer with consistent interface</li>
<li>Implemented provider-specific error handling and retry logic</li>
<li>Added intelligent fallback system for reliability</li>
</ul>
<h3>Challenge 2: Real-time UI Updates with Security</h3>
<p><strong>Problem</strong>: Providing responsive feedback while maintaining security
<strong>Solution</strong>:</p>
<ul>
<li>Implemented JWT-based authentication with httpOnly cookies</li>
<li>Added real-time token usage tracking with visual feedback</li>
<li>Created secure session management without compromising UX</li>
</ul>
<h3>Challenge 3: Template Variable Highlighting</h3>
<p><strong>Problem</strong>: Highlighting template variables in textarea while maintaining functionality
<strong>Solution</strong>:</p>
<ul>
<li>Built custom syntax highlighting for curly brace variables</li>
<li>Implemented overlay technique for visual highlighting</li>
<li>Maintained full textarea functionality with seamless integration</li>
</ul>
<h2>Results & Impact</h2>
<p>Since deployment, Prompt Improver has:</p>
<ul>
<li><strong>Processed 10,000+ prompt enhancements</strong> across multiple AI models</li>
<li><strong>Reduced prompt iteration time by 80%</strong> through professional templates</li>
<li><strong>Achieved 95% uptime</strong> with enterprise-grade security</li>
<li><strong>Maintained sub-$0.50/minute</strong> cost limits through intelligent rate limiting</li>
</ul>
<h2>Future Roadmap</h2>
<p>Planned enhancements include:</p>
<ul>
<li><strong>Custom Template Builder</strong>: Create and share custom templates</li>
<li><strong>Team Collaboration</strong>: Multi-user workspaces with shared templates</li>
<li><strong>Advanced Analytics</strong>: Detailed performance metrics and optimization suggestions</li>
<li><strong>API Access</strong>: Programmatic access for enterprise integrations</li>
<li><strong>Prompt Versioning</strong>: Track and compare prompt evolution over time</li>
</ul>
<h2>Technical Learnings</h2>
<p>Building Prompt Improver taught valuable lessons:</p>
<ol>
<li><strong>Security Cannot Be Afterthought</strong>: Enterprise applications require security by design</li>
<li><strong>Multi-Provider Strategy</strong>: Redundancy and choice improve reliability and results</li>
<li><strong>User Experience Matters</strong>: Complex functionality must remain intuitive</li>
<li><strong>Performance Monitoring</strong>: Real-time feedback prevents cost overruns</li>
<li><strong>Testing is Critical</strong>: Comprehensive testing catches edge cases early</li>
</ol>
<h2>Live Application</h2>
<p>Visit <a href="https://www.getprompt.pro">Prompt Improver</a> to experience professional prompt enhancement with enterprise-grade security and multi-model AI integration.</p>
<p><em>Note: Application requires authentication for access to advanced features and enterprise security protection.</em></p>