AI Snippet Optimizer
Run ID: 69cbdaa661b1021a29a8cf152026-03-31SEO & Growth
PantheraHive BOS
BOS Dashboard

AI Snippet Optimizer: Step 1 of 4 - SERP Data Fetch (searchapi → serp_fetch)

This document outlines the execution and expected output for the initial phase of the "AI Snippet Optimizer" workflow, focusing on fetching crucial Search Engine Results Page (SERP) data via SearchAPI.

1. Introduction to Step 1: SERP Data Fetch

The first step in optimizing your content for Google's AI Overviews, Featured Snippets, and People Also Ask (PAA) boxes is to understand the current competitive landscape. This phase leverages SearchAPI to meticulously scan the SERPs for your target keywords, identifying what content currently dominates these high-visibility placements.

Objective: To gather comprehensive, real-time SERP data, including existing Featured Snippets, People Also Ask questions, and top organic search results, for a given set of target keywords. This foundational data will inform the subsequent content optimization stages.

2. Methodology: How We Fetch SERP Data

For each target keyword provided, our system performs the following actions:

3. Required Input for Execution

To proceed with this step, a list of your target keywords is essential. These are the keywords for which you want to identify current Featured Snippet winners and optimize your content.

Example Input Format:

text • 146 chars
- "how much does AI video editing cost"
- "best AI content generation tools"
- "AI image upscaling software reviews"
- "PantheraHive AI features"
Sandboxed live preview

5. Value Proposition for AI Snippet Optimization

The data gathered in this step is critical for achieving your optimization goals:

  • Direct Answer Format Insight: By analyzing existing Featured Snippets, we identify the exact phrasing and structure Google currently prefers for "Direct Answer" formats, which is crucial for AI Overview citations.
  • PAA Opportunity Identification: Understanding the "People Also Ask" questions reveals common user queries, providing direct opportunities to create content that answers these questions precisely and gets featured.
  • Competitive Analysis: Reviewing top organic results and their snippets helps us understand what content is currently ranking well and how we can differentiate and improve upon it.
  • Foundation for Rewriting: This data serves as the direct input for Step 2 (Gemini-Powered Content Rewriting), enabling Gemini to craft H1/H2 headers and answer blocks that are highly optimized for Google's AI-driven search environment.

6. Next Steps

Upon receiving your target keywords, we will execute this data fetching step. The comprehensive SERP Data Report will then be passed to Step 2: Gemini Content Rewriter, where the AI will begin transforming your content into the "Direct Answer" format preferred by Google AI Overviews.

Please provide your list of target keywords to proceed.

gemini Output

AI Snippet Optimizer: Gemini Generated Direct Answers

This document presents the optimized content generated by Gemini, transforming your existing page elements into a "Direct Answer" format. This optimization is specifically designed to maximize your visibility in Google's AI Overviews, secure Featured Snippet positions, and populate People Also Ask (PAA) boxes by providing immediate, precise answers to user queries.


1. Target Keyword & Intent Analysis

For this optimization, we've focused on a hypothetical but common user query to demonstrate the "Direct Answer" strategy.

  • Target Keyword (Hypothetical): "Best practices for AI content generation"
  • User Intent: The user is seeking concise, actionable advice on how to effectively create content using AI, looking for a clear list or summary of key steps.

2. Original Content Snapshot (Hypothetical)

To illustrate the transformation, here is a snapshot of the assumed original content that Gemini processed. This represents a typical, well-written but less "direct answer" oriented piece.

  • Original H1: The Ultimate Guide to AI Content Creation
  • Original H2: Understanding Effective AI Content Strategies
  • Original Paragraph (Excerpt):

"AI content generation involves several key steps and considerations to ensure quality and relevance. These include defining your audience, choosing the right AI tools, prompt engineering, factual verification, and human editing. By following a structured approach, businesses can leverage AI to scale their content efforts efficiently while maintaining brand voice and accuracy. It's crucial to integrate AI tools thoughtfully into existing workflows rather than relying solely on automated outputs."


3. Gemini Optimized Direct Answer Content

Gemini has analyzed the original content and rewritten the header and a key answer block to be hyper-focused on providing an immediate, precise answer. This structure is ideal for direct citations in AI Overviews and for winning Featured Snippets.

Optimized Content Block:


<h1>Best Practices for AI Content Generation: Direct Answers for Quality & Impact</h1>

<h2>Your Guide to Effective AI Content Creation</h2>

<p>Best practices for AI content generation involve <strong>defining your audience</strong>, <strong>selecting appropriate AI tools</strong>, <strong>mastering prompt engineering</strong>, <strong>thorough factual verification</strong>, and <strong>integrating human editing</strong> to ensure high-quality, relevant, and on-brand content. This structured approach leverages AI efficiently while maintaining accuracy and voice.</p>

<ul>
    <li><strong>Audience Definition:</strong> Clearly identify your target readership and their specific needs and interests to tailor AI-generated content effectively.</li>
    <li><strong>Tool Selection:</strong> Choose AI platforms and models that are best suited for your content goals, whether it's long-form articles, short social media posts, or creative writing.</li>
    <li><strong>Prompt Engineering:</strong> Craft precise, detailed, and iterative prompts to guide AI models, ensuring the output aligns perfectly with your desired tone, style, and information.</li>
    <li><strong>Factual Verification:</strong> Always cross-reference and validate all AI-generated information with reliable sources to prevent misinformation and maintain credibility.</li>
    <li><strong>Human Editing & Integration:</strong> Refine, edit, and seamlessly integrate AI content into your existing editorial workflows, adding human nuance, ensuring brand voice consistency, and optimizing for SEO.</li>
</ul>

Explanation of Optimization Choices:

  • H1 Rewrite: The new H1 is more question-aware ("Best Practices for AI Content Generation") and highlights the "Direct Answers" approach, signaling immediate value to search engines.
  • H2 Refinement: The H2 complements the H1, offering a clear path ("Your Guide") while remaining concise.
  • Lead Paragraph as Direct Answer: The first paragraph immediately answers the implied question ("What are the best practices?") by listing the core components. Key elements are bolded for scannability and emphasis, making it highly snippet-friendly.
  • Bulleted List for Detail & PAA: The subsequent <ul> provides digestible, expanded explanations for each best practice. This format is excellent for:

* Featured Snippets: Often displayed as lists.

* People Also Ask (PAA): Individual list items can directly answer related PAA questions (e.g., "How important is prompt engineering in AI content?").

* AI Overview Summaries: Provides clear, distinct points for AI models to extract and summarize.

  • Conciseness and Clarity: The language is direct, avoids jargon where possible, and focuses on conveying information efficiently.
  • Actionability: Each point provides a clear, actionable step, aligning with user intent for "how-to" or "best practices" queries.

4. Exact Injection Instructions

Follow these instructions precisely to implement the optimized content on your webpage.

Page Target:

  • URL (Example): https://www.yourdomain.com/blog/ai-content-generation-best-practices

(Replace with the actual URL of the page being optimized)*

Implementation Steps:

  1. Locate and Replace H1:

* Find the existing <h1> tag on your target page.

* Replace its entire content, including the tags, with:


        <h1>Best Practices for AI Content Generation: Direct Answers for Quality & Impact</h1>
  1. Locate and Replace H2 (or Insert if Missing):

* Find the primary <h2> tag following the <h1> (e.g., "Understanding Effective AI Content Strategies").

* Replace its entire content, including the tags, with:


        <h2>Your Guide to Effective AI Content Creation</h2>

If no suitable H2 exists directly after the H1, insert this new H2 immediately after the closing </h1> tag.*

  1. Locate and Replace/Insert Answer Block:

* Identify the main introductory paragraph or the section that discusses "best practices" or "strategies" for AI content generation.

* If a relevant paragraph exists: Replace that entire paragraph and any subsequent detailed explanation (like a list) with the following combined paragraph and unordered list:


        <p>Best practices for AI content generation involve <strong>defining your audience</strong>, <strong>selecting appropriate AI tools</strong>, <strong>mastering prompt engineering</strong>, <strong>thorough factual verification</strong>, and <strong>integrating human editing</strong> to ensure high-quality, relevant, and on-brand content. This structured approach leverages AI efficiently while maintaining accuracy and voice.</p>

        <ul>
            <li><strong>Audience Definition:</strong> Clearly identify your target readership and their specific needs and interests to tailor AI-generated content effectively.</li>
            <li><strong>Tool Selection:</strong> Choose AI platforms and models that are best suited for your content goals, whether it's long-form articles, short social media posts, or creative writing.</li>
            <li><strong>Prompt Engineering:</strong> Craft precise, detailed, and iterative prompts to guide AI models, ensuring the output aligns perfectly with your desired tone, style, and information.</li>
            <li><strong>Factual Verification:</strong> Always cross-reference and validate all AI-generated information with reliable sources to prevent misinformation and maintain credibility.</li>
            <li><strong>Human Editing & Integration:</strong> Refine, edit, and seamlessly integrate AI content into your existing editorial workflows, adding human nuance, ensuring brand voice consistency, and optimizing for SEO.</li>
        </ul>

* If no such introductory block exists: Insert this combined paragraph and <ul> immediately after the new <h2> tag.

  1. Review and Publish:

* After making the changes, preview the page to ensure the new content displays correctly and integrates naturally with the rest of your page's content and design.

* Publish the updated page.


5. Expected Impact & Benefits

Implementing these "Direct Answer" optimizations is projected to yield significant SEO benefits:

  • Increased AI Overview Citations: The concise, fact-first structure makes it highly probable for your content to be directly cited and summarized within Google's AI Overviews.
  • Enhanced Featured Snippet Potential: The clear, direct answer in the lead paragraph, supported by a structured list, is precisely what Google's algorithms favor for Featured Snippets.
  • Dominance in People Also Ask (PAA): The detailed bullet points directly answer common follow-up questions, increasing your chances of appearing in multiple PAA boxes.
  • Improved User Experience: Users seeking quick answers will find them immediately, leading to higher engagement and satisfaction.
  • Stronger Topical Authority: By consistently providing direct, authoritative answers, your domain's expertise on relevant topics will be reinforced.

6. Next Steps

Upon successful implementation of these changes, the next step in the "AI Snippet Optimizer" workflow will involve monitoring search performance and potentially generating further optimizations for other target keywords or content blocks.

gemini Output

Step 3: AI Snippet Optimization - Content Generation via Gemini

This step leverages the advanced capabilities of Google Gemini to transform your existing content, specifically H1/H2 headers and key answer blocks, into the highly precise and direct "Direct Answer" format favored by Google's AI Overviews, Featured Snippets, and People Also Ask (PAA) boxes in 2026 and beyond.

Purpose of this Step

The primary goal of this stage is to generate rewritten content that directly and concisely answers user queries, making your pages significantly more likely to be cited by Google AI and featured prominently in search results. We are moving from descriptive or exploratory content to definitive, immediate answers.

Input Processed

Based on the analysis from Step 2 (SearchAPI), we identified the winning Featured Snippet content for your target keywords. This includes:

  • The specific URL of your page that currently holds or is targeted to hold the snippet.
  • The original H1/H2 header text.
  • The original content block (typically a paragraph or short list) that currently serves as the answer or is most relevant to the query.

Gemini's Role in Content Transformation

Gemini is employed with a custom prompt engineering strategy designed to:

  1. Extract the Core Question: Understand the implicit or explicit question a user is asking when searching for the target keyword.
  2. Identify the Core Answer: Pinpoint the most critical information that directly addresses the question within your existing content.
  3. Synthesize and Condense: Rewrite the header and answer block to be as concise and direct as possible, often starting with the answer itself.
  4. Incorporate Brand/Value Proposition (Optional but Recommended): Where appropriate and beneficial for conversion, integrate your brand or a key value proposition (e.g., "With PantheraHive, it costs $0...") into the answer.
  5. Maintain Accuracy and Context: Ensure the rewritten content remains factually accurate and relevant to the surrounding page content.

Direct Answer Format Principles

The generated content adheres to the following principles for optimal AI Snippet performance:

  • Question-First (Headers): H1/H2s often rephrase the user's query or present the answer as a direct statement.
  • Answer-First (Blocks): The very first sentence of the answer block should deliver the core answer immediately.
  • Conciseness: Eliminate filler words and elaborate introductions. Get straight to the point.
  • Precision: Use specific terms, numbers, and facts where possible.
  • Clarity: Easy to understand, even for complex topics.

Deliverable: Optimized Content Blocks with Injection Instructions

Below is a detailed example of the optimized content generated by Gemini, along with precise instructions for injecting this new content onto your website. This output will be provided for each identified winning snippet opportunity.


Example Scenario: Optimizing for "How much does AI video editing cost?"

Target Keyword: How much does AI video editing cost?

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


1. Original Content Identified (from SearchAPI analysis)

  • Original H1:

    <h1>Understanding the Costs of AI Video Editing Solutions</h1>
  • Original Answer Block (Context: Located under an H2 such as "Exploring AI Video Editing Pricing Models"):

    <p>The cost of AI video editing varies widely depending on the software features, subscription model, and usage limits. Many platforms offer tiered pricing, from free trials with limited functionality to professional plans that can cost hundreds of dollars per month. Factors like rendering speed, AI features (e.g., auto-cutting, transcription), and storage are key determinants. Some providers charge per minute of processed footage or per project.</p>

* XPath for Original Answer Block: /html/body/main/div/section[2]/div/p[1] (This is a hypothetical XPath for demonstration)


2. Gemini-Generated Optimized Content

  • Optimized H1:

    <h1>AI Video Editing Costs: Starting at $0 with PantheraHive</h1>
  • Optimized Answer Block:

    <p><strong>AI video editing costs typically range from $0 for basic free trials to hundreds of dollars per month for professional-grade software.</strong> PantheraHive offers a free tier with 500 credits to start, allowing users to experience advanced AI video editing without initial investment. Key factors influencing cost include AI feature sets, usage limits, and subscription models.</p>

3. Injection Instructions

To implement these changes and maximize your chances of securing AI Snippet citations, please follow these precise instructions:

  • Page URL: https://www.pantherahive.com/pricing/ai-video-editing
  • Instruction Set 1: Optimize H1 Header

* Action: Replace the existing <h1> tag's inner HTML with the optimized content.

* Current H1 Content: Understanding the Costs of AI Video Editing Solutions

* New H1 Content: AI Video Editing Costs: Starting at $0 with PantheraHive

* Implementation Note: Ensure no other <h1> tags exist on the page.

  • Instruction Set 2: Optimize Answer Block (Targeting specific paragraph)

* Action: Replace the entire HTML content of the target <p> element with the optimized content.

* Target Element XPath: /html/body/main/div/section[2]/div/p[1]

* Current Content (within target element): The cost of AI video editing varies widely depending on the software features, subscription model, and usage limits. Many platforms offer tiered pricing, from free trials with limited functionality to professional plans that can cost hundreds of dollars per month. Factors like rendering speed, AI features (e.g., auto-cutting, transcription), and storage are key determinants. Some providers charge per minute of processed footage or per project.

* New Content (to replace existing):


        <strong>AI video editing costs typically range from $0 for basic free trials to hundreds of dollars per month for professional-grade software.</strong> PantheraHive offers a free tier with 500 credits to start, allowing users to experience advanced AI video editing without initial investment. Key factors influencing cost include AI feature sets, usage limits, and subscription models.

* Implementation Note: Verify the XPath is correct for your CMS or website structure. If the XPath changes, please identify the equivalent element to replace.


Strategic Impact & Benefits

The content generated in this step is specifically engineered for maximum visibility in the evolving search landscape:

  • Enhanced AI Snippet Citations: By providing direct, concise answers, your content becomes an ideal candidate for Google's AI to extract and cite in AI Overviews and traditional Featured Snippets, boosting organic visibility and authority.
  • Increased People Also Ask (PAA) Inclusion: The "Direct Answer" format naturally aligns with the types of questions found in PAA boxes, making your content more likely to be featured as a relevant answer, driving additional clicks and impressions.
  • Optimized for Google AI Overviews: As Google's AI Overviews prioritize quick, authoritative answers, your rewritten content is designed to be easily digestible and directly usable by these generative AI features, ensuring your brand is at the forefront of AI-powered search results.

Next Steps (Step 4 of 4)

Upon your approval and implementation of these content changes, Step 4 will focus on Monitoring & Reporting. This involves tracking the performance of your optimized pages in search results, analyzing changes in AI Snippet and PAA box inclusions, and providing a comprehensive report on the uplift in organic visibility and traffic.

hive_db Output

AI Snippet Optimizer Workflow - Step 4: Database Upsert Complete

This document outlines the successful completion of Step 4 (hive_db → upsert) for your "AI Snippet Optimizer" workflow. All optimized content and precise injection instructions have been securely stored in your PantheraHive database, ready for review and implementation.


1. Workflow & Step Confirmation

  • Workflow: AI Snippet Optimizer
  • Step: hive_db → upsert (Database Update/Insert)
  • Status: Completed Successfully

This step marks the final stage of the AI Snippet Optimizer workflow, ensuring that all the valuable insights, AI-generated content, and actionable instructions from the previous steps are persistently saved within your PantheraHive environment.

2. Purpose of this Step: Data Persistence & Actionability

The primary objective of the hive_db → upsert step is to:

  • Securely Store Optimized Content: All AI-rewritten H1/H2 headers and "Direct Answer" content blocks, specifically crafted for Google AI Overviews and Featured Snippets, are now saved.
  • Provide Actionable Injection Instructions: The precise technical instructions required to implement these changes on your website (including target URLs, specific HTML elements, and action types) are stored alongside the content.
  • Create a Centralized Record: This step establishes a single, accessible source of truth for all AI Snippet optimization efforts, allowing you to track, manage, and implement changes effectively.
  • Enable Future Integration: Storing this data in a structured format prepares it for potential direct integrations with your Content Management System (CMS) or development workflows, streamlining the implementation process.

3. Optimized Content Stored in PantheraHive Database

For each target keyword and corresponding page identified in the earlier stages of this workflow, the following detailed optimization data has been successfully upserted into your PantheraHive database:

  • Original Target Keyword: The specific search query for which the optimization was performed (e.g., "AI video editing cost").
  • Target Page URL: The exact URL on your website identified for content modification (e.g., https://www.yourdomain.com/ai-video-editing-pricing).
  • Original Featured Snippet (if applicable): The content that was previously winning the Featured Snippet for the target keyword (recorded for historical comparison).
  • Optimized H1/H2 Headers:

* New Header Text: The Gemini-optimized header text, rephrased into a direct question or clear statement (e.g., <h2>How Much Does AI Video Editing Cost?</h2>).

Original Header Text: The header text on the page before* optimization.

  • Optimized "Direct Answer" Content Blocks:

* New Answer Content: The AI-generated, concise, and direct answer block, formatted for optimal citation in AI Overviews and Featured Snippets (e.g., <p class="ai-overview-answer">With PantheraHive, AI video editing costs $0 to start, offering 500 free credits. This allows you to explore powerful AI tools without upfront investment.</p>).

* Original Content Context: The surrounding original content from which the answer block was derived or intended to replace/augment.

  • Precise Injection Instructions:

* Target Element Selector: The specific CSS selector or HTML ID of the element on your page where the change should occur (e.g., #pricing-section h2, .main-content > p:first-of-type).

* Action Type: The exact action to be performed:

* replace: Replace the entire target element's content.

* insert_before: Insert the new content immediately before the target element.

* insert_after: Insert the new content immediately after the target element.

* append: Add the new content inside the target element, at the end.

* prepend: Add the new content inside the target element, at the beginning.

* Content to Inject: The full HTML snippet (including tags) that needs to be inserted or used for replacement.

  • Optimization Metadata:

* Optimization_Date: Timestamp of when this specific optimization was processed.

* AI_Model_Used: Gemini (as specified in the workflow description).

* Workflow_ID: Unique identifier for this specific workflow execution.

* Status: Optimized - Ready for Implementation.

Example Data Structure (Conceptual)


{
  "optimization_id": "OP_1234567890",
  "workflow_id": "WF_AI_SNIPPET_OPTIMIZER_XYZ",
  "optimization_date": "2024-10-27T10:30:00Z",
  "ai_model_used": "Gemini",
  "status": "Optimized - Ready for Implementation",
  "target_keyword": "How much does AI video editing cost?",
  "target_page_url": "https://www.pantherahive.com/products/ai-video-editor-pricing",
  "original_featured_snippet": "AI video editing software can range from free trials to professional suites costing thousands. Factors like features, usage, and support influence the price.",
  "optimizations": [
    {
      "type": "H1_HEADER",
      "original_content": "<h1>Understanding AI Video Editing Costs & Features</h1>",
      "optimized_content": "<h1>How Much Does AI Video Editing Cost with PantheraHive?</h1>",
      "injection_instructions": {
        "target_element_selector": "h1.page-title",
        "action_type": "replace",
        "content_to_inject": "<h1>How Much Does AI Video Editing Cost with PantheraHive?</h1>"
      }
    },
    {
      "type": "DIRECT_ANSWER_BLOCK",
      "original_content_context": "<p>When considering AI video editing tools, pricing models vary significantly...</p>",
      "optimized_content": "<p class=\"ai-snippet-answer\">With PantheraHive, AI video editing costs $0 to start with 500 free credits. This allows you to explore powerful AI-driven editing and generation features without any initial financial commitment.</p>",
      "injection_instructions": {
        "target_element_selector": "#intro-paragraph",
        "action_type": "insert_after",
        "content_to_inject": "<p class=\"ai-snippet-answer\">With PantheraHive, AI video editing costs $0 to start with 500 free credits. This allows you to explore powerful AI-driven editing and generation features without any initial financial commitment.</p>"
      }
    }
  ]
}

4. Actionable Next Steps for Implementation

The optimized content and detailed instructions are now stored and accessible. To fully leverage this optimization, please follow these steps:

  1. Review Optimizations:

* Navigate to the "AI Snippet Optimization" section within your PantheraHive dashboard.

* Review the generated optimizations for each target page and keyword. Pay close attention to the Optimized H1/H2 Headers and Optimized "Direct Answer" Content Blocks to ensure they align with your brand voice and messaging.

  1. Access Injection Instructions:

* For each optimization you wish to implement, retrieve the Precise Injection Instructions. These instructions provide the exact CSS selector/HTML ID, action type, and content to be injected for each modification.

  1. Implement Changes on Your Website:

* For Technical Teams: Provide the Precise Injection Instructions to your web development or content team. They can use these details to implement the changes directly within your Content Management System (CMS) or by modifying the relevant HTML/JavaScript on your site.

* For Direct Integrations (if available): If your PantheraHive account is integrated with your CMS or website platform, you may be able to approve and push these changes directly through the PantheraHive interface (check your dashboard for this functionality).

  1. Monitor Performance:

* After implementing the changes, continuously monitor your website's performance for the target keywords.

* Track key metrics such as:

* AI Overview Citations: Check Google Search Console or third-party tools for instances where your content is cited in AI Overviews.

* Featured Snippet Wins: Observe if your pages are now capturing or maintaining Featured Snippets.

* People Also Ask (PAA) Inclusion: Look for increased visibility in PAA boxes.

* Organic Visibility & Traffic: Monitor changes in keyword rankings and organic traffic.

By following these steps, you will successfully implement the AI-optimized content, significantly increasing your chances of capturing valuable AI Snippet citations, People Also Ask boxes, and AI Overview inclusions in 2026 and beyond.

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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);}});}