// ==UserScript== // @name Perplexity AI Assistant - Prompt Optimizer & Workflow Orchestrator // @description Transform prompts with AI-powered optimization, multi-platform workflow integration, and intelligent creative assistance for Perplexity, Gemini, Bolt.new, and more // @version 1.0.1 // @match https://*.perplexity.ai/* // @icon https://www.perplexity.ai/favicon.ico // ==/UserScript== (function() { 'use strict'; // ============================================================================ // PERPLEXITY AI ASSISTANT - CORE ENGINE // ============================================================================ console.log('🚀 Perplexity AI Assistant initializing...'); // Configuration const CONFIG = { platforms: { perplexity: { name: 'Perplexity', modes: ['Search', 'Research', 'Labs', 'Playground'] }, gemini: { name: 'Google Gemini Pro', url: 'https://gemini.google.com' }, aiStudio: { name: 'Google AI Studio', url: 'https://aistudio.google.com' }, bolt: { name: 'Bolt.new', url: 'https://bolt.new' }, lovable: { name: 'Lovable', url: 'https://lovable.dev' }, framer: { name: 'Framer', url: 'https://framer.com' } }, promptStyles: [ 'Concise Answer', 'Creative Output', 'Technical Explanation', 'Innovative Project', 'Research Deep-Dive', 'Multi-Step Reasoning', 'Visual-Ready Output', 'Role-Based Prompt' ], storageKeys: { history: 'ai_assistant_history', preferences: 'ai_assistant_preferences', templates: 'ai_assistant_templates', workflows: 'ai_assistant_workflows' } }; // ============================================================================ // UTILITY FUNCTIONS // ============================================================================ function debounce(func, wait) { let timeout; return function executedFunction(...args) { const later = () => { clearTimeout(timeout); func(...args); }; clearTimeout(timeout); timeout = setTimeout(later, wait); }; } function generateId() { return Date.now().toString(36) + Math.random().toString(36).substr(2); } // ============================================================================ // STORAGE MANAGER // ============================================================================ class StorageManager { static async get(key, defaultValue = null) { try { const value = await GM.getValue(key, defaultValue); return value ? JSON.parse(value) : defaultValue; } catch (error) { console.error('Storage get error:', error); return defaultValue; } } static async set(key, value) { try { await GM.setValue(key, JSON.stringify(value)); return true; } catch (error) { console.error('Storage set error:', error); return false; } } static async append(key, item) { const items = await this.get(key, []); items.unshift(item); if (items.length > 100) items.pop(); // Keep last 100 items await this.set(key, items); } } // ============================================================================ // PROMPT ANALYZER & OPTIMIZER // ============================================================================ class PromptOptimizer { static async analyzePrompt(prompt) { console.log('🔍 Analyzing prompt:', prompt); try { const analysis = await RM.aiCall( `Analyze this user prompt for clarity, completeness, and effectiveness. Identify any vagueness, ambiguity, or missing context that could improve the response quality. Prompt: "${prompt}" Provide a detailed analysis including: 1. Clarity score (0-10) 2. Completeness score (0-10) 3. Identified issues 4. Missing context or elements 5. Suggested improvements`, { type: "json_schema", json_schema: { name: "prompt_analysis", schema: { type: "object", properties: { clarityScore: { type: "number", minimum: 0, maximum: 10 }, completenessScore: { type: "number", minimum: 0, maximum: 10 }, issues: { type: "array", items: { type: "string" } }, missingElements: { type: "array", items: { type: "string" } }, suggestions: { type: "array", items: { type: "string" } } }, required: ["clarityScore", "completenessScore", "issues", "suggestions"] } } } ); console.log('✅ Analysis complete:', analysis); return analysis; } catch (error) { console.error('❌ Analysis error:', error); return { clarityScore: 5, completenessScore: 5, issues: ['Unable to analyze prompt'], missingElements: [], suggestions: ['Try rephrasing your prompt with more specific details'] }; } } static async generateVariations(prompt, styles = CONFIG.promptStyles) { console.log('🎨 Generating prompt variations for:', prompt); try { const variations = await RM.aiCall( `Rewrite the following prompt in multiple variations optimized for different purposes and platforms (Perplexity, Gemini, Bolt.new, etc.). Original Prompt: "${prompt}" Generate variations for these styles: ${styles.map((style, i) => `${i + 1}. ${style}`).join('\n')} Each variation should be optimized for its specific purpose while maintaining the core intent.`, { type: "json_schema", json_schema: { name: "prompt_variations", schema: { type: "object", properties: { variations: { type: "array", items: { type: "object", properties: { style: { type: "string" }, prompt: { type: "string" }, platform: { type: "string" }, reasoning: { type: "string" } }, required: ["style", "prompt", "platform"] } } }, required: ["variations"] } } } ); console.log('✅ Generated variations:', variations); return variations.variations; } catch (error) { console.error('❌ Variation generation error:', error); return []; } } static async generateClarifyingQuestions(prompt, analysis) { console.log('❓ Generating clarifying questions...'); try { const questions = await RM.aiCall( `Based on this prompt and its analysis, generate 3-5 clarifying questions that would help refine the user's intent and improve the output quality. Prompt: "${prompt}" Issues: ${analysis.issues.join(', ')} Missing Elements: ${analysis.missingElements.join(', ')} Generate questions that are: - Specific and actionable - Help gather missing context - Guide the user to better articulate their needs`, { type: "json_schema", json_schema: { name: "clarifying_questions", schema: { type: "object", properties: { questions: { type: "array", items: { type: "object", properties: { question: { type: "string" }, purpose: { type: "string" } }, required: ["question", "purpose"] } } }, required: ["questions"] } } } ); return questions.questions; } catch (error) { console.error('❌ Question generation error:', error); return []; } } } // ============================================================================ // WORKFLOW ORCHESTRATOR // ============================================================================ class WorkflowOrchestrator { static async generateWorkflow(goal, platforms = []) { console.log('🔄 Generating workflow for goal:', goal); try { const workflow = await RM.aiCall( `Create a comprehensive multi-platform workflow to achieve this goal: "${goal}" Available platforms: ${Object.values(CONFIG.platforms).map(p => p.name).join(', ')} ${platforms.length > 0 ? `Preferred platforms: ${platforms.join(', ')}` : ''} Generate a step-by-step workflow that: 1. Breaks down the goal into actionable steps 2. Assigns each step to the most appropriate platform 3. Defines inputs, outputs, and handoffs between steps 4. Includes research, creation, and production phases 5. Provides specific prompts or actions for each step`, { type: "json_schema", json_schema: { name: "workflow_generation", schema: { type: "object", properties: { workflowName: { type: "string" }, description: { type: "string" }, estimatedTime: { type: "string" }, steps: { type: "array", items: { type: "object", properties: { stepNumber: { type: "number" }, title: { type: "string" }, platform: { type: "string" }, action: { type: "string" }, prompt: { type: "string" }, expectedOutput: { type: "string" }, nextStep: { type: "string" } }, required: ["stepNumber", "title", "platform", "action"] } } }, required: ["workflowName", "steps"] } } } ); // Save workflow await StorageManager.append(CONFIG.storageKeys.workflows, { id: generateId(), goal, workflow, createdAt: new Date().toISOString() }); return workflow; } catch (error) { console.error('❌ Workflow generation error:', error); return null; } } static async suggestNextSteps(currentContext) { console.log('🎯 Suggesting next steps...'); try { const suggestions = await RM.aiCall( `Based on the current context, suggest logical next steps for research or creative exploration. Context: ${JSON.stringify(currentContext)} Provide 3-5 actionable next steps with specific prompts or actions.`, { type: "json_schema", json_schema: { name: "next_steps", schema: { type: "object", properties: { suggestions: { type: "array", items: { type: "object", properties: { title: { type: "string" }, description: { type: "string" }, platform: { type: "string" }, prompt: { type: "string" } }, required: ["title", "description", "platform"] } } }, required: ["suggestions"] } } } ); return suggestions.suggestions; } catch (error) { console.error('❌ Next steps error:', error); return []; } } } // ============================================================================ // USE CASE GENERATOR // ============================================================================ class UseCaseGenerator { static async generateUseCases(topic, count = 5) { console.log('💡 Generating use cases for:', topic); try { const useCases = await RM.aiCall( `Generate ${count} innovative and practical use cases for: "${topic}" Each use case should: - Be unique and creative - Leverage AI capabilities effectively - Include specific implementation ideas - Span different domains (research, creative, technical, business) - Be actionable with current AI tools`, { type: "json_schema", json_schema: { name: "use_cases", schema: { type: "object", properties: { useCases: { type: "array", items: { type: "object", properties: { title: { type: "string" }, description: { type: "string" }, domain: { type: "string" }, implementation: { type: "string" }, platforms: { type: "array", items: { type: "string" } }, difficulty: { type: "string", enum: ["Beginner", "Intermediate", "Advanced"] } }, required: ["title", "description", "domain", "implementation"] } } }, required: ["useCases"] } } } ); return useCases.useCases; } catch (error) { console.error('❌ Use case generation error:', error); return []; } } } // ============================================================================ // UI MANAGER // ============================================================================ class UIManager { static injectStyles() { const styles = ` .ai-assistant-container { position: fixed; bottom: 20px; right: 20px; z-index: 999999; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; } .ai-assistant-button { width: 60px; height: 60px; border-radius: 50%; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border: none; color: white; font-size: 24px; cursor: pointer; box-shadow: 0 4px 20px rgba(102, 126, 234, 0.4); transition: all 0.3s ease; display: flex; align-items: center; justify-content: center; } .ai-assistant-button:hover { transform: scale(1.1); box-shadow: 0 6px 30px rgba(102, 126, 234, 0.6); } .ai-assistant-panel { position: fixed; bottom: 90px; right: 20px; width: 450px; max-height: 600px; background: white; border-radius: 16px; box-shadow: 0 10px 50px rgba(0, 0, 0, 0.2); display: none; flex-direction: column; overflow: hidden; z-index: 999998; } .ai-assistant-panel.active { display: flex; animation: slideUp 0.3s ease; } @keyframes slideUp { from { opacity: 0; transform: translateY(20px); } to { opacity: 1; transform: translateY(0); } } .ai-assistant-header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; font-weight: 600; font-size: 16px; display: flex; align-items: center; justify-content: space-between; } .ai-assistant-close { background: none; border: none; color: white; font-size: 24px; cursor: pointer; padding: 0; width: 30px; height: 30px; display: flex; align-items: center; justify-content: center; border-radius: 50%; transition: background 0.2s; } .ai-assistant-close:hover { background: rgba(255, 255, 255, 0.2); } .ai-assistant-tabs { display: flex; background: #f8f9fa; border-bottom: 1px solid #e9ecef; overflow-x: auto; } .ai-assistant-tab { padding: 12px 16px; background: none; border: none; cursor: pointer; font-size: 13px; font-weight: 500; color: #6c757d; border-bottom: 2px solid transparent; transition: all 0.2s; white-space: nowrap; } .ai-assistant-tab:hover { color: #667eea; } .ai-assistant-tab.active { color: #667eea; border-bottom-color: #667eea; } .ai-assistant-content { flex: 1; overflow-y: auto; padding: 20px; } .ai-assistant-input-group { margin-bottom: 16px; } .ai-assistant-label { display: block; font-size: 13px; font-weight: 600; color: #495057; margin-bottom: 8px; } .ai-assistant-textarea { width: 100%; min-height: 100px; padding: 12px; border: 2px solid #e9ecef; border-radius: 8px; font-size: 14px; font-family: inherit; resize: vertical; transition: border-color 0.2s; } .ai-assistant-textarea:focus { outline: none; border-color: #667eea; } .ai-assistant-button-primary { width: 100%; padding: 12px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border: none; border-radius: 8px; font-size: 14px; font-weight: 600; cursor: pointer; transition: transform 0.2s, box-shadow 0.2s; } .ai-assistant-button-primary:hover { transform: translateY(-2px); box-shadow: 0 4px 12px rgba(102, 126, 234, 0.4); } .ai-assistant-button-primary:disabled { opacity: 0.6; cursor: not-allowed; transform: none; } .ai-assistant-loading { text-align: center; padding: 40px 20px; color: #6c757d; } .ai-assistant-spinner { width: 40px; height: 40px; border: 4px solid #f3f3f3; border-top: 4px solid #667eea; border-radius: 50%; animation: spin 1s linear infinite; margin: 0 auto 16px; } @keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } } .ai-assistant-result { background: #f8f9fa; border-radius: 8px; padding: 16px; margin-bottom: 16px; } .ai-assistant-result-title { font-weight: 600; color: #212529; margin-bottom: 8px; font-size: 14px; } .ai-assistant-result-content { font-size: 13px; color: #495057; line-height: 1.6; } .ai-assistant-score { display: inline-flex; align-items: center; gap: 8px; padding: 6px 12px; background: white; border-radius: 20px; font-size: 13px; font-weight: 600; margin-bottom: 12px; } .ai-assistant-score-bar { width: 60px; height: 6px; background: #e9ecef; border-radius: 3px; overflow: hidden; } .ai-assistant-score-fill { height: 100%; background: linear-gradient(90deg, #667eea 0%, #764ba2 100%); transition: width 0.3s ease; } .ai-assistant-list { list-style: none; padding: 0; margin: 0; } .ai-assistant-list-item { padding: 12px; background: white; border-radius: 8px; margin-bottom: 8px; border: 1px solid #e9ecef; font-size: 13px; line-height: 1.5; } .ai-assistant-variation { background: white; border: 2px solid #e9ecef; border-radius: 8px; padding: 16px; margin-bottom: 12px; transition: border-color 0.2s; cursor: pointer; } .ai-assistant-variation:hover { border-color: #667eea; } .ai-assistant-variation-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px; } .ai-assistant-variation-style { font-weight: 600; color: #667eea; font-size: 13px; } .ai-assistant-variation-platform { font-size: 11px; color: #6c757d; background: #f8f9fa; padding: 4px 8px; border-radius: 4px; } .ai-assistant-variation-prompt { font-size: 13px; color: #495057; line-height: 1.6; margin-bottom: 8px; } .ai-assistant-variation-actions { display: flex; gap: 8px; } .ai-assistant-button-small { padding: 6px 12px; background: #667eea; color: white; border: none; border-radius: 6px; font-size: 12px; cursor: pointer; transition: background 0.2s; } .ai-assistant-button-small:hover { background: #5568d3; } .ai-assistant-button-secondary { background: #6c757d; } .ai-assistant-button-secondary:hover { background: #5a6268; } .ai-assistant-workflow-step { background: white; border-left: 4px solid #667eea; padding: 16px; margin-bottom: 12px; border-radius: 8px; box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05); } .ai-assistant-workflow-step-number { display: inline-block; width: 28px; height: 28px; background: #667eea; color: white; border-radius: 50%; text-align: center; line-height: 28px; font-weight: 600; font-size: 13px; margin-right: 12px; } .ai-assistant-workflow-step-title { font-weight: 600; color: #212529; font-size: 14px; margin-bottom: 8px; } .ai-assistant-workflow-step-platform { display: inline-block; background: #f8f9fa; color: #667eea; padding: 4px 10px; border-radius: 12px; font-size: 11px; font-weight: 600; margin-bottom: 8px; } .ai-assistant-workflow-step-action { font-size: 13px; color: #495057; line-height: 1.6; } .ai-assistant-empty { text-align: center; padding: 40px 20px; color: #6c757d; font-size: 14px; } .ai-assistant-history-item { background: white; border: 1px solid #e9ecef; border-radius: 8px; padding: 12px; margin-bottom: 12px; cursor: pointer; transition: border-color 0.2s, box-shadow 0.2s; } .ai-assistant-history-item:hover { border-color: #667eea; box-shadow: 0 2px 8px rgba(102, 126, 234, 0.1); } .ai-assistant-history-prompt { font-size: 13px; color: #212529; font-weight: 500; margin-bottom: 6px; display: -webkit-box; -webkit-line-clamp: 2; -webkit-box-orient: vertical; overflow: hidden; } .ai-assistant-history-date { font-size: 11px; color: #6c757d; } .ai-assistant-badge { display: inline-block; padding: 4px 8px; background: #667eea; color: white; border-radius: 12px; font-size: 11px; font-weight: 600; margin-left: 8px; } `; TM_addStyle(styles); } static createMainUI() { const container = document.createElement('div'); container.className = 'ai-assistant-container'; container.innerHTML = `

🚀 AI Assistant

${this.getOptimizeTabContent()}

`; document.body.appendChild(container); this.attachEventListeners(); } static getOptimizeTabContent() { return `

Enter your prompt to analyze and optimize:

`; } static getVariationsTabContent() { return `

Enter your prompt to generate variations:

`; } static getWorkflowTabContent() { return `

Describe your goal or project:

`; } static getUseCasesTabContent() { return `

Enter a topic or technology:

`; } static async getHistoryTabContent() { const history = await StorageManager.get(CONFIG.storageKeys.history, []); if (history.length === 0) { return `

📝 No history yet. Start analyzing prompts to build your history!

`; } return `

${history.map(item => `

${this.escapeHtml(item.prompt)}

${new Date(item.timestamp).toLocaleString()}

`).join('')}

`; } static escapeHtml(text) { const div = document.createElement('div'); div.textContent = text; return div.innerHTML; } static attachEventListeners() { // Toggle panel document.getElementById('ai-assistant-toggle').addEventListener('click', () => { document.getElementById('ai-assistant-panel').classList.toggle('active'); }); document.getElementById('ai-assistant-close').addEventListener('click', () => { document.getElementById('ai-assistant-panel').classList.remove('active'); }); // Tab switching document.querySelectorAll('.ai-assistant-tab').forEach(tab => { tab.addEventListener('click', async (e) => { document.querySelectorAll('.ai-assistant-tab').forEach(t => t.classList.remove('active')); e.target.classList.add('active'); const tabName = e.target.dataset.tab; const content = document.getElementById('ai-assistant-content'); switch(tabName) { case 'optimize': content.innerHTML = this.getOptimizeTabContent(); this.attachOptimizeListeners(); break; case 'variations': content.innerHTML = this.getVariationsTabContent(); this.attachVariationsListeners(); break; case 'workflow': content.innerHTML = this.getWorkflowTabContent(); this.attachWorkflowListeners(); break; case 'use-cases': content.innerHTML = this.getUseCasesTabContent(); this.attachUseCasesListeners(); break; case 'history': content.innerHTML = await this.getHistoryTabContent(); this.attachHistoryListeners(); break; } }); }); // Initial listeners this.attachOptimizeListeners(); } static attachOptimizeListeners() { const analyzeBtn = document.getElementById('ai-assistant-analyze'); if (analyzeBtn) { analyzeBtn.addEventListener('click', async () => { const prompt = document.getElementById('ai-assistant-prompt-input').value.trim(); if (!prompt) { alert('Please enter a prompt to analyze'); return; } analyzeBtn.disabled = true; analyzeBtn.textContent = '⏳ Analyzing...'; const resultsDiv = document.getElementById('ai-assistant-results'); resultsDiv.innerHTML = `

Analyzing your prompt with AI...

`; try { const analysis = await PromptOptimizer.analyzePrompt(prompt); const questions = await PromptOptimizer.generateClarifyingQuestions(prompt, analysis); // Save to history await StorageManager.append(CONFIG.storageKeys.history, { prompt, analysis, timestamp: new Date().toISOString() }); resultsDiv.innerHTML = this.renderAnalysisResults(analysis, questions); } catch (error) { resultsDiv.innerHTML = `

❌ Error

${error.message}

`; } finally { analyzeBtn.disabled = false; analyzeBtn.textContent = '🔍 Analyze & Optimize'; } }); } } static attachVariationsListeners() { const generateBtn = document.getElementById('ai-assistant-generate-variations'); if (generateBtn) { generateBtn.addEventListener('click', async () => { const prompt = document.getElementById('ai-assistant-variations-input').value.trim(); if (!prompt) { alert('Please enter a prompt to generate variations'); return; } generateBtn.disabled = true; generateBtn.textContent = '⏳ Generating...'; const resultsDiv = document.getElementById('ai-assistant-variations-results'); resultsDiv.innerHTML = `

Generating prompt variations...

`; try { const variations = await PromptOptimizer.generateVariations(prompt); resultsDiv.innerHTML = this.renderVariations(variations); } catch (error) { resultsDiv.innerHTML = `

❌ Error

${error.message}

`; } finally { generateBtn.disabled = false; generateBtn.textContent = '🎨 Generate Variations'; } }); } } static attachWorkflowListeners() { const generateBtn = document.getElementById('ai-assistant-generate-workflow'); if (generateBtn) { generateBtn.addEventListener('click', async () => { const goal = document.getElementById('ai-assistant-workflow-input').value.trim(); if (!goal) { alert('Please describe your goal or project'); return; } generateBtn.disabled = true; generateBtn.textContent = '⏳ Generating...'; const resultsDiv = document.getElementById('ai-assistant-workflow-results'); resultsDiv.innerHTML = `

Creating your workflow...

`; try { const workflow = await WorkflowOrchestrator.generateWorkflow(goal); resultsDiv.innerHTML = this.renderWorkflow(workflow); } catch (error) { resultsDiv.innerHTML = `

❌ Error

${error.message}

`; } finally { generateBtn.disabled = false; generateBtn.textContent = '🔄 Generate Workflow'; } }); } } static attachUseCasesListeners() { const generateBtn = document.getElementById('ai-assistant-generate-usecases'); if (generateBtn) { generateBtn.addEventListener('click', async () => { const topic = document.getElementById('ai-assistant-usecase-input').value.trim(); if (!topic) { alert('Please enter a topic or technology'); return; } generateBtn.disabled = true; generateBtn.textContent = '⏳ Generating...'; const resultsDiv = document.getElementById('ai-assistant-usecases-results'); resultsDiv.innerHTML = `

Generating innovative use cases...

`; try { const useCases = await UseCaseGenerator.generateUseCases(topic); resultsDiv.innerHTML = this.renderUseCases(useCases); } catch (error) { resultsDiv.innerHTML = `

❌ Error

${error.message}

`; } finally { generateBtn.disabled = false; generateBtn.textContent = '💡 Generate Use Cases'; } }); } } static attachHistoryListeners() { document.querySelectorAll('.ai-assistant-history-item').forEach(item => { item.addEventListener('click', () => { const prompt = item.dataset.prompt; document.querySelector('.ai-assistant-tab[data-tab="optimize"]').click(); setTimeout(() => { document.getElementById('ai-assistant-prompt-input').value = prompt; }, 100); }); }); } static renderAnalysisResults(analysis, questions) { return `

📊 Analysis Results

Clarity: ${analysis.clarityScore}/10

Completeness: ${analysis.completenessScore}/10

${analysis.issues.length > 0 ? `

⚠️ Issues Identified

${this.escapeHtml(issue)}

` : ''} ${analysis.suggestions.length > 0 ? `

💡 Suggestions

${this.escapeHtml(suggestion)}

` : ''} ${questions.length > 0 ? `

❓ Clarifying Questions

${this.escapeHtml(q.question)}
${this.escapeHtml(q.purpose)}

` : ''} `; } static renderVariations(variations) { if (!variations || variations.length === 0) { return '

No variations generated

'; } return variations.map(v => `

${this.escapeHtml(v.style)} ${this.escapeHtml(v.platform)}

${this.escapeHtml(v.prompt)}

${v.reasoning ? `

${this.escapeHtml(v.reasoning)}

` : ''}

`).join(''); } static renderWorkflow(workflow) { if (!workflow || !workflow.steps) { return '

No workflow generated

'; } return `

🔄 ${this.escapeHtml(workflow.workflowName)}

${workflow.description ? `

${this.escapeHtml(workflow.description)}

` : ''} ${workflow.estimatedTime ? `

⏱️ ${this.escapeHtml(workflow.estimatedTime)}

` : ''}

${workflow.steps.map(step => `

${step.stepNumber} ${this.escapeHtml(step.title)}

${this.escapeHtml(step.platform)}

${this.escapeHtml(step.action)}

${step.prompt ? `

` : ''}

`).join('')} `; } static renderUseCases(useCases) { if (!useCases || useCases.length === 0) { return '

No use cases generated

'; } return useCases.map(uc => `

${this.escapeHtml(uc.title)} ${uc.difficulty ? `${this.escapeHtml(uc.difficulty)}` : ''}

${uc.domain ? `

📁 ${this.escapeHtml(uc.domain)}

` : ''}

${this.escapeHtml(uc.description)}

${uc.implementation ? `

Implementation:

${this.escapeHtml(uc.implementation)}

` : ''} ${uc.platforms && uc.platforms.length > 0 ? `

${uc.platforms.map(p => `${this.escapeHtml(p)}`).join(' ')}

` : ''}

`).join(''); } static getPlatformUrl(platformName) { const platform = Object.values(CONFIG.platforms).find(p => p.name.toLowerCase().includes(platformName.toLowerCase()) ); return platform?.url || 'https://perplexity.ai'; } } // ============================================================================ // INITIALIZATION // ============================================================================ async function init() { console.log('🎯 Initializing Perplexity AI Assistant...'); // Wait for page to be ready if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', init); return; } // Inject styles and create UI UIManager.injectStyles(); // Wait a bit for page to fully load setTimeout(() => { UIManager.createMainUI(); console.log('✅ Perplexity AI Assistant ready!'); }, 1000); } // Start the extension init(); })();

Perplexity AI Assistant - Prompt Optimizer & Workflow Orchestrator

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