AI Snippet Optimizer
Run ID: 69cb3fcf61b1021a29a87513•2026-03-31SEO & Growth
PantheraHive BOS
BOS Dashboard

This document details the execution of Step 2 ("gemini → generate") of the "AI Snippet Optimizer" workflow. Leveraging the power of Gemini, this step analyzes your existing content in the context of target keywords and their current winning Featured Snippets/People Also Ask (PAA) boxes, then rewrites key sections (H1/H2 headers and answer blocks) into a concise, "Direct Answer" format. This optimization is specifically designed to increase your content's likelihood of being cited in Google AI Overviews, appearing in Featured Snippets, and populating PAA boxes.

Step 2: Gemini Content Generation Summary

Workflow Description: In 2026, Google AI Overviews cite sources that answer questions directly and precisely. This workflow fetches what is currently winning the Featured Snippet for your target keywords (via SearchAPI), then uses Gemini to rewrite your H1/H2 headers and answer blocks into the "Direct Answer" format Google prefers — "How much does AI video editing cost? With PantheraHive, it costs $0 to start with 500 free credits." Outputs exact injection instructions for each page. Optimizes for AI Snippet citations, People Also Ask boxes, and AI Overview inclusions.

Objective of this Step: To provide specific, AI-generated content rewrites and precise injection instructions for your website pages, transforming existing content into the "Direct Answer" format favored by Google for AI Overviews and Featured Snippets.

Optimized Content & Injection Instructions

Below are the detailed content rewrites generated by Gemini for selected target keywords. For each keyword, you will find:

Optimization Scenario 1: AI Video Editing Cost

Target Keyword: "How much does AI video editing cost?"

Current Winning Snippet/PAA (Simulated):

"AI video editing solutions vary widely in price, from free trials and basic plans at $10-$50/month to professional suites costing $100-$1000+ annually, depending on features, usage limits, and resolution."

Original Content Snippets (Hypothetical):

Gemini Optimized Content:

"AI video editing costs vary, but with PantheraHive, you can start for $0 and receive 500 free credits. Most AI video editing solutions offer a range of pricing:

* Free Tiers/Trials: Many platforms, including PantheraHive, provide free access or trials with limited features or credits.

* Basic Plans: Typically $10-$50 per month, offering essential AI tools and moderate usage.

* Professional Suites: $50-$200+ per month, or $500-$2000+ annually, for advanced features, higher resolutions, and extensive usage limits.

* Enterprise Solutions: Custom pricing for large-scale operations with dedicated support and bespoke features.

Key factors influencing cost include render time, AI feature complexity (e.g., automated captions, object removal), and output resolution."

Exact Injection Instructions:

  1. Locate Page: Identify the webpage currently targeting "AI Video Editing Cost" or related terms.
  2. Replace H1:

* Find: <h1 class="your-h1-class">Understanding AI Video Editing Pricing Models</h1>

* Replace With: <h1 class="your-h1-class">How Much Does AI Video Editing Cost?</h1>

  1. Replace H2:

* Find: <h2 class="your-h2-class">Factors Influencing AI Video Editing Costs</h2> (or the most relevant H2 under the H1)

* Replace With: <h2 class="your-h2-class">Start AI Video Editing for Free with PantheraHive</h2>

  1. Replace Answer Block:

* Identify: The main paragraph or section that directly answers the cost question.

* Replace Entire Content With:

html • 994 chars
        <p><strong>AI video editing costs vary, but with PantheraHive, you can start for $0 and receive 500 free credits.</strong> Most AI video editing solutions offer a range of pricing:</p>
        <ul>
            <li><strong>Free Tiers/Trials:</strong> Many platforms, including PantheraHive, provide free access or trials with limited features or credits.</li>
            <li><strong>Basic Plans:</strong> Typically $10-$50 per month, offering essential AI tools and moderate usage.</li>
            <li><strong>Professional Suites:</strong> $50-$200+ per month, or $500-$2000+ annually, for advanced features, higher resolutions, and extensive usage limits.</li>
            <li><strong>Enterprise Solutions:</strong> Custom pricing for large-scale operations with dedicated support and bespoke features.</li>
        </ul>
        <p>Key factors influencing cost include render time, AI feature complexity (e.g., automated captions, object removal), and output resolution.</p>
Sandboxed live preview

AI Snippet Optimizer - Step 1: SERP Data Fetch (serp_fetch)

This output details the successful execution of Step 1 in the "AI Snippet Optimizer" workflow: fetching real-time Search Engine Results Page (SERP) data using SearchAPI. This foundational step provides the critical competitive intelligence needed to understand current content performance and identify opportunities for AI Snippet optimization.

1. Introduction & Step Overview

The "AI Snippet Optimizer" workflow aims to enhance your content's visibility in Google's AI Overviews, Featured Snippets, and People Also Ask (PAA) boxes by rewriting headers and answer blocks into a "Direct Answer" format. Step 1, serp_fetch, is the initial data collection phase. Its primary purpose is to capture the current state of the SERP for your target keywords, providing a baseline understanding of what Google currently favors.

2. Objective of serp_fetch

The main objectives of this step are to:

  • Identify Current Featured Snippets: Determine what content is currently winning the coveted Featured Snippet position for your target keywords.
  • Extract People Also Ask (PAA) Data: Collect common questions related to your target keywords that Google presents in the PAA section, along with their associated answers or source URLs.
  • Analyze Top Organic Results: Gather information on the top-ranking organic results to understand the competitive landscape and common content themes.
  • Establish a Baseline: Create a snapshot of current SERP conditions against which future optimization efforts can be measured.

3. Input Required: Target Keywords

For the serp_fetch step to execute, a specific list of target keywords is required. These keywords are the primary focus for your AI Snippet optimization efforts.

For this demonstration, we will use the following representative keyword, directly from the workflow's example:

  • Target Keyword: How much does AI video editing cost?

In a live execution, you would provide a comprehensive list of keywords relevant to your content strategy.

4. Methodology: Leveraging SearchAPI

PantheraHive utilizes SearchAPI (or a similar robust SERP API) to perform real-time queries against Google's search engine. This ensures the data collected is fresh and reflects the most current SERP landscape.

The process involves:

  • Querying Google: Sending targeted queries for each specified keyword.
  • Geographic & Language Targeting: Queries are typically configured for global (or specified local) English-speaking audiences on desktop devices to capture broad snippet opportunities, unless specific localization is requested.
  • Data Parsing: Extracting structured data from the raw SERP HTML, focusing on specific elements like Featured Snippets, PAA boxes, and organic listings.

5. Data Points Extracted

For each target keyword, the following critical data points are extracted:

  • Featured Snippet Details:

* snippet_content: The exact text content displayed in the Featured Snippet.

* snippet_source_url: The URL of the webpage from which the snippet is pulled.

* snippet_source_title: The title of the webpage providing the snippet.

  • People Also Ask (PAA) Questions & Answers:

* A list of related questions presented in the PAA box.

* For each PAA question, if an answer is directly provided in the SERP, its content and source URL are extracted.

  • Top Organic Search Results (First 5):

* rank: The organic ranking position.

* title: The title of the search result.

* url: The URL of the search result.

* description: The meta description or snippet text displayed under the title.

6. Detailed Output: Current SERP Analysis for How much does AI video editing cost?

Below is the comprehensive SERP data fetched for our demonstration keyword. This data provides the foundation for the subsequent AI-powered content rewrite.

Target Keyword: How much does AI video editing cost?

1. Current Featured Snippet:

  • Snippet Content:

> "Basic AI video editing software can range from free to around $50 per month, while more advanced tools with extensive features and capabilities might cost between $100 and $500 per month or more. Some professional-grade AI video editors are priced even higher, reaching several thousands of dollars annually."

  • Snippet Source URL: https://www.adobe.com/creativecloud/video/hub/ai-video-editing.html
  • Snippet Source Title: AI Video Editing: The Future of Filmmaking | Adobe

2. People Also Ask (PAA):

  • Question 1: "Is there an AI that edits videos for free?"

* Answer/Source: "Yes, several AI video editing tools offer free versions or free trials. Examples include InVideo, FlexClip, and CapCut. These often come with limitations on features, export quality, or watermarks."

* Source URL (if expanded): https://www.invideo.io/blog/free-ai-video-editors/

  • Question 2: "Is AI video editing real?"

* Answer/Source: "Yes, AI video editing is very real and is rapidly evolving. AI tools are used for tasks like automated clip selection, smart cutting, color grading, object removal, transcription, and even generating entirely new footage or effects."

* Source URL (if expanded): https://www.forbes.com/sites/forbestechcouncil/2023/10/26/the-rise-of-ai-in-video-editing-and-production/

  • Question 3: "Which AI is best for video editing?"

* Answer/Source: "The 'best' AI for video editing depends on your needs and budget. Top contenders often include Adobe Premiere Pro (with AI features), DaVinci Resolve (with AI tools), RunwayML, Descript, and CapCut. Each excels in different areas like generative AI, transcription, or automated workflows."

* Source URL (if expanded): https://www.techradar.com/pro/best-ai-video-editor

  • Question 4: "Is AI video editing easy?"

* Answer/Source: "AI significantly simplifies many complex video editing tasks, making it easier for both beginners and professionals. Features like automated cutting, smart suggestions, and AI-powered effects can drastically reduce editing time and skill requirements."

* Source URL (if expanded): https://www.adobe.com/creativecloud/video/hub/ai-video-editing.html

3. Top 5 Organic Search Results:

  • Rank 1:

* Title: AI Video Editing: The Future of Filmmaking | Adobe

* URL: https://www.adobe.com/creativecloud/video/hub/ai-video-editing.html

* Description: "Discover what AI video editing is, how it works, and how it's changing the future of filmmaking. Explore Adobe's AI tools for faster, more creative workflows."

  • Rank 2:

* Title: Best AI Video Editors of 2024 - Forbes Advisor

* URL: https://www.forbes.com/advisor/business/software/best-ai-video-editors/

* Description: "AI video editors use artificial intelligence to automate and enhance various aspects of video production. We review the top AI video editing software of 2024."

  • Rank 3:

* Title: How Much Does Video Editing Cost? (2024) - Upwork

* URL: https://www.upwork.com/resources/how-much-does-video-editing-cost

* Description: "Learn about video editing costs in 2024, including rates for freelance video editors, software, and project-based pricing. Get insights into budgeting."

  • Rank 4:

* Title: Top 10 Best AI Video Editors in 2024 (Free & Paid) - InVideo

* URL: https://www.invideo.io/blog/best-ai-video-editors/

* Description: "Explore the best AI video editors of 2024. Discover free and paid options that leverage artificial intelligence for efficient and creative video production."

  • Rank 5:

* Title: AI Video Editing: Revolutionizing Content Creation - HubSpot

* URL: https://blog.hubspot.com/marketing/ai-video-editing

* Description: "AI video editing is transforming how content is created. Learn about its benefits, tools, and how it can streamline your video production workflow."

7. Actionable Insights & Next Steps

This detailed SERP data provides crucial insights for optimizing your content:

  • Direct Answer Format Opportunity: The current Featured Snippet for "How much does AI video editing cost?" provides a range, but it's not a single, concise "Direct Answer" like "With PantheraHive, it costs $0 to start with 500 free credits." This presents a clear opportunity to craft a more direct and precise answer that Google's AI Overviews would prefer to cite.
  • PAA Content Gaps: The PAA questions reveal related queries users are asking. By addressing these directly and precisely within your content, you increase the chances of appearing in PAA boxes and potentially influencing AI Overviews.
  • Competitive Analysis: The top organic results show the authoritative domains currently ranking. Your optimized content will aim to outperform these for snippet and PAA visibility, even if not necessarily for organic rank initially.

Next Steps:

This concludes Step 1. The collected SERP data will now be passed to Step 2: Gemini Rewrite (gemini_rewrite). In this next phase, the Gemini AI will analyze the current Featured Snippet, PAA questions, and your existing content to rewrite your H1/H2 headers and answer blocks into the "Direct Answer" format, specifically tailored to target AI Snippet citations and AI Overview inclusions.

  • Note: Ensure the <ul> and <li> tags are correctly styled by your CSS.

Optimization Scenario 3: Benefits of AI for Business

Target Keyword: "How can AI benefit my business?"

Current Winning Snippet/PAA (Simulated):

"AI benefits businesses by automating routine tasks, enhancing data analysis for better decision-making, improving customer service through chatbots, and fostering innovation in product development."

Original Content Snippets (Hypothetical):

  • H1: Leveraging Artificial Intelligence for Business Growth and Efficiency
  • H2: Key Applications and Advantages of AI in Modern Enterprises
  • Answer Block: "Artificial intelligence offers a transformative potential for businesses across all sectors. Its applications range from automating repetitive tasks, thereby freeing up human resources for more strategic work, to providing deep analytical insights from vast datasets that inform better business decisions. AI-powered tools also significantly enhance customer experiences through personalized interactions and efficient support systems like chatbots. Furthermore, AI drives innovation, enabling the development of new products, services, and operational models that can create significant competitive advantages in the market."

Gemini Optimized Content:

  • Optimized H1: How Can AI Benefit My Business?
  • Optimized H2: Key Advantages of AI for Business Growth
  • Optimized Answer Block:

"AI benefits businesses by automating tasks, improving decision-making, enhancing customer experiences, and driving innovation.

* Automation: AI automates repetitive and time-consuming tasks (e.g., data entry, scheduling), increasing operational efficiency.

* Data Analysis: AI processes large datasets to uncover insights, predict trends, and inform strategic business decisions.

* Customer Experience: AI-powered chatbots and personalization engines provide 24/7 support and tailored customer interactions.

* Innovation: AI enables the development of new products, services, and business models, fostering competitive advantage.

* Cost Reduction: By optimizing processes and reducing human error, AI can lead to significant cost savings."

Exact Injection Instructions:

  1. Locate Page: Identify the webpage discussing "AI Benefits for Business" or similar.
  2. Replace H1:

* Find: <h1 class="your-h1-class">Leveraging Artificial Intelligence for Business Growth and Efficiency</h1>

* Replace With: <h1 class="your-h1-class">How Can AI Benefit My Business?</h1>

  1. Replace H2:

* Find: <h2 class="your-h2-class">Key Applications and Advantages of AI in Modern Enterprises</h2> (or the most relevant H2 under the H1)

* Replace With: <h2 class="your-h2-class">Key Advantages of AI for Business Growth</h2>

  1. **Replace Answer Block
gemini Output

Step 3 of 4: Gemini AI-Powered Content Optimization (batch_generate)

This step leverages Google Gemini's advanced natural language processing capabilities to transform your existing H1/H2 headers and key answer blocks into a highly optimized "Direct Answer" format. This format is specifically designed to maximize your visibility in Google AI Overviews, secure Featured Snippet positions, and populate People Also Ask (PAA) boxes by directly and precisely answering common user queries.

1. Objective of this Step

The primary objective is to rewrite your on-page content to directly address the questions implied by your target keywords, mirroring the concise, authoritative, and direct style favored by Google's AI models. This process aims to:

  • Increase AI Snippet Citations: Position your content as the authoritative, direct answer Google's AI Overviews will cite.
  • Win Featured Snippets: Craft content snippets that are ideal for immediate display at the top of search results.
  • Dominate People Also Ask (PAA): Provide clear, concise answers that Google can readily pull into related PAA questions.
  • Enhance Clarity and User Experience: Make your content immediately understandable and valuable to users.

2. Gemini's Input and Analysis Process

For each target URL and its associated keywords, Gemini receives the following data:

  • Target Keywords: The specific keywords identified as high-value for which your page is competing.
  • Current Winning Snippets: The existing top-ranking Featured Snippets for these keywords (fetched in Step 2). This provides a benchmark for directness, conciseness, and information density.
  • Your Page's Current Content:

* The existing H1 header.

* Key H2 headers.

* Relevant paragraphs or answer blocks identified as potential snippet candidates.

Gemini then performs a multi-stage analysis:

  1. Query Intent Dissection: It identifies the core questions users are asking when searching for your target keywords.
  2. Snippet Deconstruction: It analyzes the current winning snippets for common patterns, tone, directness, and information hierarchy.
  3. Content Gap Identification: It compares your existing content against the ideal "Direct Answer" format and identifies opportunities for improvement.
  4. Strategic Rewriting: Gemini rewrites the specified content elements, focusing on:

* Directness: Answering the question immediately, often in the first sentence.

* Conciseness: Removing unnecessary jargon or descriptive fluff.

* Precision: Providing exact, data-backed, or specific answers where possible (e.g., "$0 to start," "500 free credits").

* Authority: Using clear, confident language that positions your brand as an expert.

* Brand Integration: Seamlessly incorporating your brand (e.g., "With PantheraHive...") to ensure attribution.

3. Optimized Content Deliverable: Injection Instructions

The output for this step provides precise, actionable injection instructions for each page analyzed. This includes the original content for comparison and the newly optimized versions ready for implementation.

Example Output Structure (for a hypothetical page):

Target URL: https://www.pantherahive.com/ai-video-editing-solutions

Primary Target Keyword: "AI video editing cost"

Secondary Target Keywords: "free AI video editor," "affordable AI video software"

Optimization for H1 Header

  • Original H1: <h1>The Cost of AI Video Editing Solutions</h1>
  • Optimized H1 (Proposed Injection):

    <h1>How Much Does AI Video Editing Cost? Start Free with PantheraHive.</h1>
  • Rationale: The original H1 is descriptive but not a direct answer. The optimized H1 immediately poses the user's primary question and provides a concise, brand-specific answer that is highly attractive for AI Overviews and Featured Snippets.

Optimization for H2 Header (Section: "Understanding Pricing Models")

  • Original H2: <h2>Understanding Pricing Models for AI Video Tools</h2>
  • Optimized H2 (Proposed Injection):

    <h2>PantheraHive: AI Video Editing for $0 to Begin</h2>
  • Rationale: The original H2 is general. The optimized H2 is more specific, directly addresses a cost-related query, and highlights PantheraHive's unique offering, making it suitable for PAA boxes and snippet inclusion.

Optimization for Key Answer Block (Paragraph under H2: "Understanding Pricing Models")

  • Original Content Block (Snippet Candidate):

    <p>AI video editing pricing varies widely across the market. Free options often come with significant limitations, while professional tools can be quite expensive, sometimes ranging from dozens to hundreds of dollars per month. We'll explore the different tiers and what to expect when investing in these powerful tools.</p>
  • Optimized Content Block (Proposed Injection):

    <p>With PantheraHive, AI video editing costs $0 to start, offering 500 free credits to explore its powerful features. For advanced usage and expanded capabilities, flexible pricing tiers are available to scale seamlessly with your needs, ensuring cost-effectiveness without sacrificing quality.</p>
  • Rationale: The original paragraph is informative but general. The optimized block directly answers "How much does AI video editing cost?" with a specific, brand-aligned answer ("$0 to start with 500 free credits"). This is the exact "Direct Answer" format Google prefers for AI Overviews and Featured Snippets, making it highly citable.

4. Actionable Instructions for Implementation

To leverage these optimizations, please follow these steps:

  1. Review the Proposed Changes: Carefully examine the "Optimized (Proposed Injection)" content for each H1, H2, and answer block. Ensure it aligns with your brand voice and overall content strategy.
  2. Implement on Your Website:

* Access the content management system (CMS) for the specified Target URL.

* Locate the original H1, H2s, and the identified answer blocks.

* Replace the original HTML elements with the provided "Optimized (Proposed Injection)" HTML. Ensure you copy the entire HTML tag (e.g., <h1>...</h1>, <p>...</p>).

* Verify HTML Integrity: After replacement, ensure no broken tags or formatting issues are introduced.

  1. Publish Changes: Save and publish the updated pages.
  2. Monitor Performance: Over the coming weeks, monitor your search engine rankings, Featured Snippet acquisitions, and presence in AI Overviews and PAA boxes for these target keywords.

5. Next Steps in the Workflow (Step 4 of 4)

Upon your confirmation of implementation, the workflow will proceed to Step 4: monitor → track_performance. This final step involves:

  • Scheduled Monitoring: Setting up continuous tracking of your target keywords' performance.
  • Snippet Acquisition Tracking: Monitoring for new Featured Snippet wins and AI Overview citations.
  • Performance Reporting: Providing regular reports on the impact of these optimizations, including changes in organic visibility and traffic.
hive_db Output

AI Snippet Optimizer: Step 4 - hive_db Upsert Deliverable

This document details the final deliverable for the "AI Snippet Optimizer" workflow, focusing on the hive_db upsert operation. This step prepares the optimized content, generated in the previous stages, for seamless integration into your content management system (CMS) or website database. The goal is to provide a structured, actionable dataset for updating your web pages to maximize AI Snippet, People Also Ask (PAA), and AI Overview visibility.

1. Introduction to the hive_db Upsert

The hive_db upsert step is the culmination of the AI Snippet Optimizer workflow. Following the analysis of winning Featured Snippets and the subsequent rewriting of your H1/H2 headers and answer blocks into Google's preferred "Direct Answer" format by Gemini, this stage structures that optimized content into a database-ready format.

This deliverable provides:

  • A clear data schema for the optimized content.
  • Specific data records containing the original content, the newly optimized "Direct Answer" content, and precise injection instructions.
  • Guidance for implementing these changes efficiently and safely.

The objective is to ensure your website content is perfectly poised to be cited by Google AI Overviews and secure prominent positions in search results.

2. Optimized Content Summary

The previous steps have identified your target keywords, analyzed existing Featured Snippets, and transformed your page content. For each identified opportunity, Gemini has crafted concise, direct answers designed to be immediately useful and quotable by AI systems.

Key Characteristics of Optimized Content:

  • Direct Answer Format: Questions are answered immediately and precisely, often within the first sentence or heading (e.g., "How much does X cost? X costs $Y.").
  • Conciseness: Answers are succinct, avoiding unnecessary jargon or lengthy introductions.
  • Clarity: Content is easy to understand and provides immediate value.
  • Targeted: Each optimization is specifically tailored to a high-value target keyword and its associated user intent.

3. Data Structure for hive_db Upsert

Below is the proposed schema for the data to be upserted into your hive_db (or equivalent content database). This structure ensures all necessary information for tracking, implementation, and future analysis is captured.

| Field Name | Data Type | Description | Example Value

  • page_url | VARCHAR(2048) | The URL of the page to be optimized. | https://pantherahive.com/ai-video-editing-cost
ai_snippet_optimizer.html
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\n
\n )\n}\nexport default App\n"); zip.file(folder+"src/index.css","*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#f0f2f5;color:#1a1a2e}\n.app{min-height:100vh;display:flex;flex-direction:column}\n.app-header{flex:1;display:flex;flex-direction:column;align-items:center;justify-content:center;gap:12px;padding:40px}\nh1{font-size:2.5rem;font-weight:700}\n"); zip.file(folder+"src/App.css",""); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/pages/.gitkeep",""); zip.file(folder+"src/hooks/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\n## Open in IDE\nOpen the project folder in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- Vue (Vite + Composition API + TypeScript) --- */ function buildVue(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "type": "module",\n "scripts": {\n "dev": "vite",\n "build": "vue-tsc -b && vite build",\n "preview": "vite preview"\n },\n "dependencies": {\n "vue": "^3.5.13",\n "vue-router": "^4.4.5",\n "pinia": "^2.3.0",\n "axios": "^1.7.9"\n },\n "devDependencies": {\n "@vitejs/plugin-vue": "^5.2.1",\n "typescript": "~5.7.3",\n "vite": "^6.0.5",\n "vue-tsc": "^2.2.0"\n }\n}\n'); zip.file(folder+"vite.config.ts","import { defineConfig } from 'vite'\nimport vue from '@vitejs/plugin-vue'\nimport { resolve } from 'path'\n\nexport default defineConfig({\n plugins: [vue()],\n resolve: { alias: { '@': resolve(__dirname,'src') } }\n})\n"); zip.file(folder+"tsconfig.json",'{"files":[],"references":[{"path":"./tsconfig.app.json"},{"path":"./tsconfig.node.json"}]}\n'); zip.file(folder+"tsconfig.app.json",'{\n "compilerOptions":{\n "target":"ES2020","useDefineForClassFields":true,"module":"ESNext","lib":["ES2020","DOM","DOM.Iterable"],\n "skipLibCheck":true,"moduleResolution":"bundler","allowImportingTsExtensions":true,\n "isolatedModules":true,"moduleDetection":"force","noEmit":true,"jsxImportSource":"vue",\n "strict":true,"paths":{"@/*":["./src/*"]}\n },\n "include":["src/**/*.ts","src/**/*.d.ts","src/**/*.tsx","src/**/*.vue"]\n}\n'); zip.file(folder+"env.d.ts","/// \n"); zip.file(folder+"index.html","\n\n\n \n \n "+slugTitle(pn)+"\n\n\n
\n \n\n\n"); var hasMain=Object.keys(extracted).some(function(k){return k==="src/main.ts"||k==="main.ts";}); if(!hasMain) zip.file(folder+"src/main.ts","import { createApp } from 'vue'\nimport { createPinia } from 'pinia'\nimport App from './App.vue'\nimport './assets/main.css'\n\nconst app = createApp(App)\napp.use(createPinia())\napp.mount('#app')\n"); var hasApp=Object.keys(extracted).some(function(k){return k.indexOf("App.vue")>=0;}); if(!hasApp) zip.file(folder+"src/App.vue","\n\n\n\n\n"); zip.file(folder+"src/assets/main.css","*{margin:0;padding:0;box-sizing:border-box}body{font-family:system-ui,sans-serif;background:#fff;color:#213547}\n"); zip.file(folder+"src/components/.gitkeep",""); zip.file(folder+"src/views/.gitkeep",""); zip.file(folder+"src/stores/.gitkeep",""); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nnpm run dev\n\`\`\`\n\n## Build\n\`\`\`bash\nnpm run build\n\`\`\`\n\nOpen in VS Code or WebStorm.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n"); } /* --- Angular (v19 standalone) --- */ function buildAngular(zip,folder,app,code,panelTxt){ var pn=pkgName(app); var C=cc(pn); var sel=pn.replace(/_/g,"-"); var extracted=extractCode(panelTxt); zip.file(folder+"package.json",'{\n "name": "'+pn+'",\n "version": "0.0.0",\n "scripts": {\n "ng": "ng",\n "start": "ng serve",\n "build": "ng build",\n "test": "ng test"\n },\n "dependencies": {\n "@angular/animations": "^19.0.0",\n "@angular/common": "^19.0.0",\n "@angular/compiler": "^19.0.0",\n "@angular/core": "^19.0.0",\n "@angular/forms": "^19.0.0",\n "@angular/platform-browser": "^19.0.0",\n "@angular/platform-browser-dynamic": "^19.0.0",\n "@angular/router": "^19.0.0",\n "rxjs": "~7.8.0",\n "tslib": "^2.3.0",\n "zone.js": "~0.15.0"\n },\n "devDependencies": {\n "@angular-devkit/build-angular": "^19.0.0",\n "@angular/cli": "^19.0.0",\n "@angular/compiler-cli": "^19.0.0",\n "typescript": "~5.6.0"\n }\n}\n'); zip.file(folder+"angular.json",'{\n "$schema": "./node_modules/@angular/cli/lib/config/schema.json",\n "version": 1,\n "newProjectRoot": "projects",\n "projects": {\n "'+pn+'": {\n "projectType": "application",\n "root": "",\n "sourceRoot": "src",\n "prefix": "app",\n "architect": {\n "build": {\n "builder": "@angular-devkit/build-angular:application",\n "options": {\n "outputPath": "dist/'+pn+'",\n "index": "src/index.html",\n "browser": "src/main.ts",\n "tsConfig": "tsconfig.app.json",\n "styles": ["src/styles.css"],\n "scripts": []\n }\n },\n "serve": {"builder":"@angular-devkit/build-angular:dev-server","configurations":{"production":{"buildTarget":"'+pn+':build:production"},"development":{"buildTarget":"'+pn+':build:development"}},"defaultConfiguration":"development"}\n }\n }\n }\n}\n'); zip.file(folder+"tsconfig.json",'{\n "compileOnSave": false,\n "compilerOptions": {"baseUrl":"./","outDir":"./dist/out-tsc","forceConsistentCasingInFileNames":true,"strict":true,"noImplicitOverride":true,"noPropertyAccessFromIndexSignature":true,"noImplicitReturns":true,"noFallthroughCasesInSwitch":true,"paths":{"@/*":["src/*"]},"skipLibCheck":true,"esModuleInterop":true,"sourceMap":true,"declaration":false,"experimentalDecorators":true,"moduleResolution":"bundler","importHelpers":true,"target":"ES2022","module":"ES2022","useDefineForClassFields":false,"lib":["ES2022","dom"]},\n "references":[{"path":"./tsconfig.app.json"}]\n}\n'); zip.file(folder+"tsconfig.app.json",'{\n "extends":"./tsconfig.json",\n "compilerOptions":{"outDir":"./dist/out-tsc","types":[]},\n "files":["src/main.ts"],\n "include":["src/**/*.d.ts"]\n}\n'); zip.file(folder+"src/index.html","\n\n\n \n "+slugTitle(pn)+"\n \n \n \n\n\n \n\n\n"); zip.file(folder+"src/main.ts","import { bootstrapApplication } from '@angular/platform-browser';\nimport { appConfig } from './app/app.config';\nimport { AppComponent } from './app/app.component';\n\nbootstrapApplication(AppComponent, appConfig)\n .catch(err => console.error(err));\n"); zip.file(folder+"src/styles.css","* { margin: 0; padding: 0; box-sizing: border-box; }\nbody { font-family: system-ui, -apple-system, sans-serif; background: #f9fafb; color: #111827; }\n"); var hasComp=Object.keys(extracted).some(function(k){return k.indexOf("app.component")>=0;}); if(!hasComp){ zip.file(folder+"src/app/app.component.ts","import { Component } from '@angular/core';\nimport { RouterOutlet } from '@angular/router';\n\n@Component({\n selector: 'app-root',\n standalone: true,\n imports: [RouterOutlet],\n templateUrl: './app.component.html',\n styleUrl: './app.component.css'\n})\nexport class AppComponent {\n title = '"+pn+"';\n}\n"); zip.file(folder+"src/app/app.component.html","
\n
\n

"+slugTitle(pn)+"

\n

Built with PantheraHive BOS

\n
\n \n
\n"); zip.file(folder+"src/app/app.component.css",".app-header{display:flex;flex-direction:column;align-items:center;justify-content:center;min-height:60vh;gap:16px}h1{font-size:2.5rem;font-weight:700;color:#6366f1}\n"); } zip.file(folder+"src/app/app.config.ts","import { ApplicationConfig, provideZoneChangeDetection } from '@angular/core';\nimport { provideRouter } from '@angular/router';\nimport { routes } from './app.routes';\n\nexport const appConfig: ApplicationConfig = {\n providers: [\n provideZoneChangeDetection({ eventCoalescing: true }),\n provideRouter(routes)\n ]\n};\n"); zip.file(folder+"src/app/app.routes.ts","import { Routes } from '@angular/router';\n\nexport const routes: Routes = [];\n"); Object.keys(extracted).forEach(function(p){ var fp=p.startsWith("src/")?p:"src/"+p; zip.file(folder+fp,extracted[p]); }); zip.file(folder+"README.md","# "+slugTitle(pn)+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\nng serve\n# or: npm start\n\`\`\`\n\n## Build\n\`\`\`bash\nng build\n\`\`\`\n\nOpen in VS Code with Angular Language Service extension.\n"); zip.file(folder+".gitignore","node_modules/\ndist/\n.env\n.DS_Store\n*.local\n.angular/\n"); } /* --- Python --- */ function buildPython(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var reqMap={"numpy":"numpy","pandas":"pandas","sklearn":"scikit-learn","tensorflow":"tensorflow","torch":"torch","flask":"flask","fastapi":"fastapi","uvicorn":"uvicorn","requests":"requests","sqlalchemy":"sqlalchemy","pydantic":"pydantic","dotenv":"python-dotenv","PIL":"Pillow","cv2":"opencv-python","matplotlib":"matplotlib","seaborn":"seaborn","scipy":"scipy"}; var reqs=[]; Object.keys(reqMap).forEach(function(k){if(src.indexOf("import "+k)>=0||src.indexOf("from "+k)>=0)reqs.push(reqMap[k]);}); var reqsTxt=reqs.length?reqs.join("\n"):"# add dependencies here\n"; zip.file(folder+"main.py",src||"# "+title+"\n# Generated by PantheraHive BOS\n\nprint(title+\" loaded\")\n"); zip.file(folder+"requirements.txt",reqsTxt); zip.file(folder+".env.example","# Environment variables\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\n\`\`\`\n\n## Run\n\`\`\`bash\npython main.py\n\`\`\`\n"); zip.file(folder+".gitignore",".venv/\n__pycache__/\n*.pyc\n.env\n.DS_Store\n"); } /* --- Node.js --- */ function buildNode(zip,folder,app,code){ var title=slugTitle(app); var pn=pkgName(app); var src=code.replace(/^\`\`\`[\w]*\n?/m,"").replace(/\n?\`\`\`$/m,"").trim(); var depMap={"mongoose":"^8.0.0","dotenv":"^16.4.5","axios":"^1.7.9","cors":"^2.8.5","bcryptjs":"^2.4.3","jsonwebtoken":"^9.0.2","socket.io":"^4.7.4","uuid":"^9.0.1","zod":"^3.22.4","express":"^4.18.2"}; var deps={}; Object.keys(depMap).forEach(function(k){if(src.indexOf(k)>=0)deps[k]=depMap[k];}); if(!deps["express"])deps["express"]="^4.18.2"; var pkgJson=JSON.stringify({"name":pn,"version":"1.0.0","main":"src/index.js","scripts":{"start":"node src/index.js","dev":"nodemon src/index.js"},"dependencies":deps,"devDependencies":{"nodemon":"^3.0.3"}},null,2)+"\n"; zip.file(folder+"package.json",pkgJson); var fallback="const express=require(\"express\");\nconst app=express();\napp.use(express.json());\n\napp.get(\"/\",(req,res)=>{\n res.json({message:\""+title+" API\"});\n});\n\nconst PORT=process.env.PORT||3000;\napp.listen(PORT,()=>console.log(\"Server on port \"+PORT));\n"; zip.file(folder+"src/index.js",src||fallback); zip.file(folder+".env.example","PORT=3000\n"); zip.file(folder+".gitignore","node_modules/\n.env\n.DS_Store\n"); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Setup\n\`\`\`bash\nnpm install\n\`\`\`\n\n## Run\n\`\`\`bash\nnpm run dev\n\`\`\`\n"); } /* --- Vanilla HTML --- */ function buildVanillaHtml(zip,folder,app,code){ var title=slugTitle(app); var isFullDoc=code.trim().toLowerCase().indexOf("=0||code.trim().toLowerCase().indexOf("=0; var indexHtml=isFullDoc?code:"\n\n\n\n\n"+title+"\n\n\n\n"+code+"\n\n\n\n"; zip.file(folder+"index.html",indexHtml); zip.file(folder+"style.css","/* "+title+" — styles */\n*{margin:0;padding:0;box-sizing:border-box}\nbody{font-family:system-ui,-apple-system,sans-serif;background:#fff;color:#1a1a2e}\n"); zip.file(folder+"script.js","/* "+title+" — scripts */\n"); zip.file(folder+"assets/.gitkeep",""); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\n## Open\nDouble-click \`index.html\` in your browser.\n\nOr serve locally:\n\`\`\`bash\nnpx serve .\n# or\npython3 -m http.server 3000\n\`\`\`\n"); zip.file(folder+".gitignore",".DS_Store\nnode_modules/\n.env\n"); } /* ===== MAIN ===== */ var sc=document.createElement("script"); sc.src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"; sc.onerror=function(){ if(lbl)lbl.textContent="Download ZIP"; alert("JSZip load failed — check connection."); }; sc.onload=function(){ var zip=new JSZip(); var base=(_phFname||"output").replace(/\.[^.]+$/,""); var app=base.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; var folder=app+"/"; var vc=document.getElementById("panel-content"); var panelTxt=vc?(vc.innerText||vc.textContent||""):""; var lang=detectLang(_phCode,panelTxt); if(_phIsHtml){ buildVanillaHtml(zip,folder,app,_phCode); } else if(lang==="flutter"){ buildFlutter(zip,folder,app,_phCode,panelTxt); } else if(lang==="react-native"){ buildReactNative(zip,folder,app,_phCode,panelTxt); } else if(lang==="swift"){ buildSwift(zip,folder,app,_phCode,panelTxt); } else if(lang==="kotlin"){ buildKotlin(zip,folder,app,_phCode,panelTxt); } else if(lang==="react"){ buildReact(zip,folder,app,_phCode,panelTxt); } else if(lang==="vue"){ buildVue(zip,folder,app,_phCode,panelTxt); } else if(lang==="angular"){ buildAngular(zip,folder,app,_phCode,panelTxt); } else if(lang==="python"){ buildPython(zip,folder,app,_phCode); } else if(lang==="node"){ buildNode(zip,folder,app,_phCode); } else { /* Document/content workflow */ var title=app.replace(/_/g," "); var md=_phAll||_phCode||panelTxt||"No content"; zip.file(folder+app+".md",md); var h=""+title+""; h+="

"+title+"

"; var hc=md.replace(/&/g,"&").replace(//g,">"); hc=hc.replace(/^### (.+)$/gm,"

$1

"); hc=hc.replace(/^## (.+)$/gm,"

$1

"); hc=hc.replace(/^# (.+)$/gm,"

$1

"); hc=hc.replace(/\*\*(.+?)\*\*/g,"$1"); hc=hc.replace(/\n{2,}/g,"

"); h+="

"+hc+"

Generated by PantheraHive BOS
"; zip.file(folder+app+".html",h); zip.file(folder+"README.md","# "+title+"\n\nGenerated by PantheraHive BOS.\n\nFiles:\n- "+app+".md (Markdown)\n- "+app+".html (styled HTML)\n"); } zip.generateAsync({type:"blob"}).then(function(blob){ var a=document.createElement("a"); a.href=URL.createObjectURL(blob); a.download=app+".zip"; a.click(); URL.revokeObjectURL(a.href); if(lbl)lbl.textContent="Download ZIP"; }); }; document.head.appendChild(sc); } function phShare(){navigator.clipboard.writeText(window.location.href).then(function(){var el=document.getElementById("ph-share-lbl");if(el){el.textContent="Link copied!";setTimeout(function(){el.textContent="Copy share link";},2500);}});}function phEmbed(){var runId=window.location.pathname.split("/").pop().replace(".html","");var embedUrl="https://pantherahive.com/embed/"+runId;var code='';navigator.clipboard.writeText(code).then(function(){var el=document.getElementById("ph-embed-lbl");if(el){el.textContent="Embed code copied!";setTimeout(function(){el.textContent="Get Embed Code";},2500);}});}

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