Author: admin9295

  • From Prompt to Client-Ready Website: Agency Workflow in Gutenberg

    From Prompt to Client-Ready Website: A Repeatable Agency Workflow in Gutenberg

    Modern agencies need speed, consistency, and quality. This guide shows you how to build client-ready WordPress sites using a repeatable workflow powered by Gutenberg and AI Builder.

    Professional agency workspace with diverse team members collaborating around a large monitor displaying WordPress Gutenberg block editor, modern office setting, natural lighting, clean minimalist aesthetic

    A modern agency workflow combines AI efficiency with human expertise to deliver client-ready websites faster.

    The Challenge: Balancing Speed and Quality

    Agencies face constant pressure to deliver faster without sacrificing quality. Traditional workflows involve multiple handoffs, revision cycles, and manual content entry that slow everything down.

    The solution isn’t working harder—it’s working smarter with a repeatable system. This workflow leverages WordPress Gutenberg’s block editor and AI Builder to generate production-ready pages while maintaining full editorial control.

    Key Takeaways

    • A structured workflow reduces project time by 40–60% while improving consistency
    • AI Builder generates complete Gutenberg pages with custom CSS and editable blocks
    • Human oversight ensures brand alignment, SEO quality, and performance optimization
    • Reusable prompts create a knowledge base that improves with every project

    The 6-Step Agency Workflow

    Step 1: Discovery and Prompt Specification

    Start with a client kickoff to gather brand guidelines, target audience, goals, and content requirements. Document tone of voice, key messaging, and competitive positioning.

    Transform these insights into structured prompts. Instead of vague requests, create detailed specifications that include page purpose, audience, desired actions, and brand voice. Review the WordPress Prompts guide for 30 ready-to-use examples.

    Deliverable: Client brief document + prompt library for the project.


    Step 2: Information Architecture and Sitemap

    Map out the site structure before generating content. Define primary pages, navigation hierarchy, and user journeys. This prevents scope creep and ensures logical content flow.

    Create a simple spreadsheet listing each page, its purpose, target keywords, and required sections. This becomes your blueprint for the generation phase.

    Deliverable: Approved sitemap + page-level content specifications.


    Step 3: Generate Pages and Blocks with AI Builder

    This is where speed meets quality. Using AI Builder for WordPress, generate complete pages directly in Gutenberg. The plugin creates JSON block structures, custom CSS, and even JavaScript when needed—all editable in the native WordPress editor.

    AI Builder handles the heavy lifting: layout structure, responsive design, color schemes matching your brand, and placeholder content. It marks images with a special class so you can upload real assets or generate AI images with one click.

    Deliverable: Draft pages with structure, copy, and styling ready for review.


    Step 4: Human Editing for Brand Alignment

    AI provides the foundation; humans add the soul. Review each page for brand voice, messaging accuracy, and emotional resonance. Refine headlines, adjust calls-to-action, and ensure the copy reflects the client’s unique value proposition.

    Replace placeholder images with real photography or AI-generated visuals that match the brand aesthetic. AI Builder’s built-in image generation makes this seamless—just provide a prompt and the plugin handles the rest.

    This step is where your expertise shines. Compare manual vs AI-assisted workflows to see the productivity gains.

    Deliverable: Brand-aligned pages ready for SEO and performance optimization.


    Step 5: SEO Pass and Content Quality Check

    Google’s guidance on AI content is clear: quality matters more than creation method. Review Google’s AI content guidelines and best practices for generative AI.

    Optimize meta titles and descriptions, ensure proper heading hierarchy, add internal links, and verify that content demonstrates expertise and provides genuine value. Avoid thin content that simply restates common knowledge.

    Add schema markup where appropriate, optimize images with descriptive alt text, and ensure mobile-friendly formatting. This is also the time to check for duplicate content and ensure each page serves a unique purpose.

    Deliverable: SEO-optimized pages that meet quality standards.


    Step 6: Performance Pass and Core Web Vitals

    Performance directly impacts user experience and search rankings. Focus on Core Web Vitals: Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift.

    AI Builder automatically compresses images and converts them to WebP format, following image compression best practices. This alone can reduce page weight by 50–70%.

    Run Lighthouse audits, optimize CSS delivery, enable caching, and minimize JavaScript execution time. Test on real devices to ensure smooth mobile performance.

    Deliverable: Fast-loading, mobile-optimized site ready for launch.

    Pre-Launch Checklist

    Before handing off to the client, verify every detail:

    1. All links functional (internal and external)
    2. Forms tested and connected to email/CRM
    3. Mobile responsiveness verified on multiple devices
    4. Browser compatibility checked (Chrome, Firefox, Safari, Edge)
    5. Analytics and tracking codes installed
    6. SSL certificate active and HTTPS enforced
    7. 404 page customized
    8. Favicon and social sharing images set
    9. Privacy policy and legal pages in place
    10. Client training documentation prepared

    Case Study: Boutique Marketing Agency

    Client: Fictional agency “Velocity Digital” needed a new website to showcase their services and attract B2B clients.

    Challenge: Previous site took 6 weeks to build with a traditional workflow. They needed faster turnaround for future client projects.

    Solution: Implemented the 6-step workflow with AI Builder. Generated 8 core pages (Home, About, Services, Case Studies, Blog, Contact, Privacy, Terms) in 2 days. Spent 3 days on brand refinement, SEO, and performance optimization.

    Results: Site launched in 5 days instead of 6 weeks. Lighthouse performance score of 94. Client now uses the same workflow for their own projects, reducing delivery time by 60%.

    Three Reusable Prompts for Your Agency

    Prompt 1: Professional Services Homepage

    “Create a professional services homepage for [COMPANY NAME], a [INDUSTRY] firm serving [TARGET AUDIENCE]. Include: hero section with clear value proposition, 3-column service overview, client testimonial section, case study highlights, and strong CTA. Tone: authoritative but approachable. Primary CTA: Schedule Consultation.”

    Prompt 2: SaaS Pricing Page

    “Build a SaaS pricing page for [PRODUCT NAME] with 3 tiers: Starter ($29/mo), Professional ($79/mo), Enterprise (custom). Include feature comparison table, FAQ section addressing common objections, trust badges, and annual/monthly toggle. Highlight Professional tier as most popular. Tone: transparent and value-focused.”

    Prompt 3: Agency About Page

    “Design an About page for [AGENCY NAME], a [SPECIALTY] agency founded in [YEAR]. Include: origin story (2-3 paragraphs), mission statement, team section with photos and bios, core values, client logos, and ‘Work With Us’ CTA. Emphasize expertise in [NICHE] and commitment to [KEY VALUE]. Tone: confident and personable.”

    Save these prompts in a shared document and refine them based on results. Over time, you’ll build a library of high-performing templates that accelerate every project.

    Frequently Asked Questions

    Does AI-generated content hurt SEO?

    No. Google evaluates content quality, not creation method. As stated in their official guidance, AI content is acceptable if it provides value, demonstrates expertise, and serves user intent. The key is human oversight to ensure accuracy and originality.

    How much time does this workflow actually save?

    Agencies report 40–60% reduction in build time. A typical 8-page site that previously took 4–6 weeks can now be delivered in 2–3 weeks. The biggest gains come from eliminating manual layout work and reducing revision cycles through better initial output.

    Can clients edit pages after handoff?

    Yes. Everything is built with native Gutenberg blocks, so clients can edit text, swap images, and adjust layouts using the standard WordPress editor. No special training or proprietary tools required. This reduces ongoing maintenance costs and gives clients true ownership.

    What about brand consistency across projects?

    AI Builder respects WordPress theme settings and custom brand colors. You can also create reusable block patterns and save them. This ensures visual consistency while maintaining flexibility for each client’s unique needs.

    Is this workflow suitable for complex sites?

    Yes, but with caveats. The workflow excels at content-focused sites: marketing pages, blogs, portfolios, and small business sites. For complex web applications with custom functionality, use AI Builder for content pages while developing custom features separately. The two approaches complement each other well.

    Getting Started with AI Builder

    Ready to implement this workflow in your agency? Start by installing AI Builder from the WordPress plugin directory. The free version includes page generation, block creation, and basic image handling.

    For agencies managing multiple client sites, the Creator plan includes a lot of generations. Check AI Builder pricing for current plans.

    Begin with a single internal project to test the workflow. Document what works, refine your prompts, and build confidence before rolling it out to client work. Most agencies see ROI within their first paid project.

    References and Further Reading

    WordPress and Gutenberg:

    • WordPress Block Editor Documentation: https://developer.wordpress.org/block-editor/

    SEO and AI Content:

    • Google Search and AI Content: https://developers.google.com/search/blog/2023/02/google-search-and-ai-content
    • Using Generative AI Content: https://developers.google.com/search/docs/fundamentals/using-gen-ai-content

    Performance Optimization:

    • Core Web Vitals: https://developers.google.com/search/docs/appearance/core-web-vitals
    • Image Compression Best Practices: https://web.dev/articles/compress-images

    AI Builder Resources:

    • AI Builder Plugin: https://wordpress.org/plugins/ai-builder/
    • AI Builder Homepage: https://website-ai-builder.com/
    • Pricing Plans: https://website-ai-builder.com/pricing/
  • The Evolution of Artificial Intelligence

    The Evolution of Artificial Intelligence

    From symbolic reasoning to generative models—a journey through decades of innovation.

    Key Takeaways

    • AI began with symbolic reasoning and rule-based expert systems in the mid-20th century.
    • Machine learning shifted focus from hand-coded rules to data-driven pattern recognition.
    • Deep learning unlocked breakthroughs in vision, speech, and language through layered neural networks.
    • Generative AI—powered by transformers—now creates novel content at scale.
    • Real-world adoption spans healthcare, finance, creative industries, and beyond.
    • Ethical challenges and technical limitations remain critical areas of ongoing research.

    Early Foundations

    The roots of artificial intelligence trace back to the 1950s, when pioneers like Alan Turing and John McCarthy explored whether machines could think. Early systems relied on symbolic logic—encoding human knowledge as explicit rules. Researchers built programs that could prove mathematical theorems or play simple games, demonstrating that computers could manipulate symbols in ways that resembled reasoning.

    These foundational efforts established core concepts—search algorithms, knowledge representation, and inference engines—that remain relevant today. Yet the brittleness of hand-coded rules soon became apparent, setting the stage for decades of iterative refinement.

    • Turing Test proposed (1950)
    • Dartmouth Conference coins “AI” (1956)
    • Logic Theorist proves theorems (1956)
    • Perceptron algorithm introduced (1958)
    • ELIZA chatbot simulates conversation (1966)
    • Shakey the Robot navigates environments (1969)
    • Prolog logic programming language (1972)
    • First AI winter begins (mid-1970s)

    Expert Systems & AI Winters

    In the 1980s, expert systems promised to capture human expertise in narrow domains—diagnosing diseases, configuring computers, or analyzing financial data. Companies invested heavily, and for a time, AI seemed poised for commercial success. These systems encoded domain knowledge as if-then rules, consulting inference engines to deliver recommendations.

    Yet maintaining and scaling rule-based systems proved costly and brittle. When expectations outpaced reality, funding dried up, ushering in the second AI winter. The lesson: symbolic approaches alone couldn’t handle the complexity and ambiguity of real-world problems.

    • High maintenance costs for rule updates
    • Difficulty capturing tacit human knowledge
    • Limited generalization beyond narrow domains

    “AI winters taught us that hype without robust methods leads to disillusionment—progress requires patience, data, and iterative learning.”

    Machine Learning Era

    Machine learning shifted the paradigm from hand-coded rules to data-driven pattern recognition. Instead of programming explicit logic, researchers trained algorithms on examples, letting models discover relationships in data. Techniques like decision trees, support vector machines, and ensemble methods gained traction in the 1990s and 2000s.

    This era democratized AI, enabling applications in spam filtering, recommendation engines, and fraud detection. The availability of larger datasets and improved computational resources accelerated progress, laying the groundwork for the deep learning revolution to come.

    • Supervised learning from labeled examples
    • Unsupervised clustering and dimensionality reduction
    • Reinforcement learning for sequential decision-making

    Deep Learning

    Deep learning—neural networks with many layers—unlocked breakthroughs in computer vision, speech recognition, and natural language processing. Powered by GPUs and vast datasets, models like convolutional and recurrent networks achieved human-level performance on tasks once thought intractable. ImageNet competitions and speech benchmarks showcased rapid gains.

    This era transformed industries—autonomous vehicles, medical imaging, voice assistants—and set the stage for generative models. Deep learning’s ability to learn hierarchical representations from raw data proved transformative, though it also introduced new challenges around interpretability and data requirements.

    Editorial diagram of layered neural nets + GPUs, minimalist infographic

    Caption: Layered neural networks process data hierarchically, leveraging GPU acceleration for training at scale.

    • Convolutional networks for image recognition
    • Recurrent networks for sequential data
    • Transfer learning and pre-trained models

    “Generative models don’t just classify—they create, opening doors to automation and creativity while demanding vigilance around misuse.”

    Real-World Impact

    AI now powers applications across healthcare (diagnostic imaging, drug discovery), finance (fraud detection, algorithmic trading), creative industries (content generation, design tools), and beyond. Organizations deploy models to automate routine tasks, personalize experiences, and uncover insights from vast datasets.

    Yet adoption varies—some sectors embrace AI rapidly, while others proceed cautiously due to regulatory, ethical, or technical constraints. Success stories highlight efficiency gains and innovation, while failures underscore the importance of domain expertise and human oversight.

    • Healthcare: faster diagnoses, personalized treatment plans
    • Finance: risk modeling, automated compliance checks
    • Creative: content drafting, design prototyping, music composition

    Limitations & Risks

    Despite progress, AI systems remain brittle, opaque, and prone to bias. Models trained on flawed data perpetuate stereotypes. Adversarial inputs can fool classifiers. Generative models hallucinate facts or produce harmful content. These limitations demand rigorous testing, diverse datasets, and ongoing monitoring.

    Ethical concerns—privacy, accountability, job displacement—require multidisciplinary collaboration. Policymakers, researchers, and practitioners must balance innovation with safeguards, ensuring AI serves society responsibly.

    • Bias amplification from training data
    • Lack of interpretability in deep models
    • Vulnerability to adversarial attacks and misuse

    “Responsible AI isn’t optional—it’s the foundation for trust, adoption, and long-term value.”

    Future Outlook

    The next wave of AI will likely emphasize efficiency, interpretability, and multimodal reasoning. Smaller, specialized models may complement large generalists. Advances in reinforcement learning from human feedback and constitutional AI aim to align systems with human values. Regulatory frameworks will mature, shaping how AI is developed and deployed.

    Collaboration between academia, industry, and civil society will be critical. As AI becomes more capable, the focus must shift from raw performance to robustness, fairness, and societal benefit—ensuring technology amplifies human potential rather than replacing it.

    • Efficient models for edge deployment
    • Explainable AI for high-stakes decisions
    • Human-AI collaboration frameworks

    Conclusion

    The evolution of artificial intelligence—from symbolic reasoning to generative models—reflects decades of experimentation, setbacks, and breakthroughs. Each era contributed insights that shape today’s landscape, reminding us that progress is iterative and context-dependent. Understanding this history helps us navigate current capabilities and limitations with clarity.

    As you explore AI for your own projects, start small: pick one workflow, pilot with human review, and scale thoughtfully. Responsible adoption balances innovation with oversight, ensuring technology amplifies human expertise rather than replacing it. The journey continues—stay curious, critical, and collaborative.

  • Tips to Use AI Builder in WordPress (Prompts, Editing, AI Blocks)

    Tips to Use AI Builder in WordPress (Prompts, Editing, and AI Blocks)

    AI Builder transforms WordPress page creation with intelligent automation. Whether you’re building landing pages, blog posts, or complete websites, mastering AI Builder’s features will save you hours of work. This guide covers everything from crafting effective prompts to editing generated content and leveraging specialized AI blocks. We’ll show you how to use ChatGPT to optimize your prompts, customize the output, and make the most of AI Builder’s powerful features. Not legal advice.

    Use ChatGPT to Write Better AI Builder Prompts

    Large Language Models like ChatGPT, Claude, and Gemini excel at understanding context and generating structured instructions. When you use these tools to craft your AI Builder prompts, you get better-organized pages with more relevant content and professional styling.

    The key advantage is that ChatGPT can compress complex requirements into concise, effective prompts while maintaining clarity. It can also research current information and incorporate factual data into your prompt, ensuring your generated pages contain accurate, up-to-date content.

    Essential Checklist for Your ChatGPT Request

    Critical constraint: AI Builder prompts are limited to 2000 characters maximum. Always specify this limit when asking ChatGPT to create your prompt.

    • Provide context: Explain your business, target audience, and page purpose
    • Define sections: List the main content areas you need (hero, features, testimonials, etc.)
    • Specify style: Describe the visual aesthetic (modern, minimal, bold, professional)
    • Stay under 2000 characters: Ask ChatGPT to optimize for this limit
    • Request research: When building content-heavy pages, ask ChatGPT to include web research and cite sources

    Example: Prompt to Give ChatGPT

    Here is a copyable example prompt you can give to ChatGPT to generate a blog post about “The Evolution of Artificial Intelligence”.

    You are a prompt engineer. Write ONE final prompt (in English) that I can paste into AI Builder (a Gutenberg page generator chatbot) to generate a full Gutenberg blog article page about: “The Evolution of Artificial Intelligence”.

    Start by doing online research.

    Context:
    Your job is only to craft the page-intent prompt: content, structure, tone, and desired visual style/animations/interactions.

    Requirements for the AI Builder prompt:

    • IMPORTANT: The prompt you generate must be under 2,000 characters.
    • Generate ONLY the blog article page content (no explanations).
    • Style: modern, clean, tech/editorial. Strong typography, generous spacing, subtle accents. Mobile-first.
    • Interactions/animations: subtle only (e.g., gentle fade-in on section scroll, hover effects on buttons/cards). Nothing flashy.
    • Must include:
    • Intro (80–120 words)
    • “Key Takeaways” (4–6 bullets)
    • Table of Contents with anchor links
    • 6–8 H2 sections covering: early history, expert systems, machine learning, deep learning, generative AI, real-world impact, limitations/risks, future outlook
    • One short timeline (bulleted or dated list)
    • 2–3 pull quotes or callouts
    • 1 AI image
    • Conclusion with a practical next step
    • Final CTA button: “Try AI Builder in WordPress” linking to https://wordpress.org/plugins/ai-builder/

    Accuracy:

    • Avoid precise stats unless you label them as placeholders like [STAT + SOURCE].
    • If you reference key events/models, keep them general unless you add [SOURCE] placeholders.

    Output format:

    Output ONLY the AI Builder prompt in a single plain text code block.

    Page generated with this prompt: https://website-ai-builder.com/the-evolution-of-artificial-intelligence/


    Edit What AI Builder Generates (Theme, Blocks, CSS, JavaScript)

    AI Builder works with any WordPress theme, giving you complete flexibility. However, we recommend using a theme like Twenty Twenty-Five, which offers strong content editing flexibility and extensive per-block styling options in the Gutenberg editor, making it easier to fine-tune your AI-generated pages without touching code.

    Two Ways to Fix Block Styling

    If a block’s appearance isn’t quite right, you have two options:

    1. Edit CSS in the AI Builder chat dialog: Click the chat icon in the top-right corner of your WordPress editor. Make the styling changes you want, and AI Builder will update the CSS for you. This is the fastest method for global style changes.
    2. Remove the custom class: Select the block, open the Advanced panel in the right sidebar, and delete the class name from “Additional CSS class(es)”. This removes AI Builder’s custom styling and lets your theme’s default styles take over.

    For developers: AI Builder also generates JavaScript when needed. You can add or modify this JavaScript through the chat dialog to create custom interactions, animations, or functionality.


    The 3 Other AI Builder Content Blocks

    Beyond full-page generation, AI Builder offers three specialized blocks for targeted content creation. Each block serves a specific purpose and can be inserted anywhere in your WordPress editor.

    AI Block Generation

    This block generates complete Gutenberg block structures with custom CSS. It’s perfect for creating complex layouts like pricing tables, feature grids, or testimonial sections without building them manually.

    • Best use case: Building structured content sections mid-page, like comparison tables, team member grids, or multi-column feature showcases

    AI Image

    Insert an AI Image block, then enter your prompt in the “AI Image Generation” panel. AI Builder will create a custom image based on your description, eliminating the need for stock photos or design tools.

    • Best use case: Hero backgrounds, product illustrations, blog post featured images, or any visual that needs to match your specific brand style

    AI Text

    The AI Text block generates written content based on your prompt. It’s ideal for filling in paragraphs, creating product descriptions, or drafting copy when you need quick, contextual text.

    • Best use case: Product descriptions, service explanations, FAQ answers, or any paragraph-level content that needs to match your page’s tone and context

    Generate with AI Builder

    Stop spending hours building WordPress pages from scratch. AI Builder empowers founders and marketers to create professional, conversion-optimized pages in minutes. Install the plugin, describe what you need, and watch your vision come to life with intelligent design and compelling copy.

  • Terms of Service Page Prompt for WordPress (AI Builder)

    Terms of Service (ToS) Page Prompt for WordPress (AI Builder)

    This guide is for WordPress site owners, SaaS founders, and digital entrepreneurs who need a professional Terms of Service page but don’t want to start from scratch. Using AI Builder, you’ll generate a complete, legally-structured ToS page in seconds—complete with custom sections, Gutenberg blocks, and styling. Whether you’re launching a new product or updating compliance docs, this prompt delivers a ready-to-publish page that protects your business and builds user trust.

    The Prompt (Copyable)

    Copy and paste this prompt directly into AI Builder to generate your Terms of Service page:

    Create a professional Terms of Service page for my WordPress site. Include sections: Introduction, Acceptance of Terms, User Accounts & Responsibilities, Prohibited Activities, Intellectual Property Rights, Limitation of Liability, Termination, Governing Law, Changes to Terms, and Contact Information. Use clear headings (H2/H3), bullet lists for key points, and a formal but accessible tone. Add a CTA button at the bottom: ‘I Accept These Terms’ linking to /signup. Style with clean spacing, professional colors, and ensure mobile responsiveness. Make it legally sound yet user-friendly.

    Prompt Variants

    • Friendly Tone: “Create a Terms of Service page with a friendly, conversational tone for a creative community platform. Include sections on user content, community guidelines, privacy basics, and dispute resolution. Use H2 headings and short paragraphs.”
    • SaaS Product: “Generate a ToS page for a B2B SaaS product. Cover subscription terms, data processing, service availability, API usage limits, refund policy, and enterprise compliance. Professional tone, structured layout.”
    • E-commerce Focus: “Build a Terms of Service page for an online store. Include purchase terms, shipping policies, returns/refunds, payment processing, product warranties, and customer obligations. Clear sections with visual separators.”

    Recommended Settings

    Style & Colors

    • Use neutral backgrounds (white, light gray)
    • Dark text (#1a1a1a) for readability
    • Accent color for section dividers
    • Generous line spacing (1.7–1.9)
    • Professional sans-serif font

    Images & CTAs

    • Minimal or no images (legal doc focus)
    • Optional: icon for each major section
    • CTA: ‘I Accept’ or ‘Back to Home’
    • Sticky ‘Last Updated’ date at top
    • Link to Privacy Policy & Contact

    Example Output

    When you use the prompt above, AI Builder will generate a complete ToS page with the following Gutenberg blocks:

    Generated Blocks Include:

    • Hero Section: core/cover with page title and last updated date
    • Introduction: core/paragraph explaining the ToS purpose
    • Section Groups: core/group blocks for each major section (Acceptance, User Accounts, etc.)
    • Headings: core/heading (H2/H3) for section titles and subsections
    • Content Paragraphs: core/paragraph with legal text and explanations
    • Bullet Lists: core/list for prohibited activities, user rights, etc.
    • Separators: core/separator between major sections
    • CTA Button: core/button (‘I Accept These Terms’) with custom styling
    • Contact Info: core/paragraph with email/address for legal inquiries

    Mistakes to Avoid

    • Being Too Vague: Don’t use generic prompts like ‘create a ToS page.’ Specify your industry, key sections, and tone to get relevant, usable content.
    • Skipping Legal Review: AI Builder creates structure and content, but always have a lawyer review your final ToS before publishing—especially for regulated industries.
    • Ignoring Mobile Users: Terms pages are often long. Ensure your prompt requests mobile-friendly formatting with collapsible sections or clear navigation.
    • Forgetting the ‘Last Updated’ Date: Always include a visible date at the top. This is critical for transparency and legal compliance when you make changes.
    • Overcomplicating Design: ToS pages should prioritize readability over flashy design. Avoid heavy images, animations, or distracting elements that reduce trust.

    Ready to Generate Your ToS Page?

    Use AI Builder to create a professional, legally-structured Terms of Service page in seconds. No coding required.

  • Build a Mini Product Configurator in WordPress

    Build a Mini Product Configurator in WordPress

    Mini Product Configurator

    Build dynamic pricing tools with vanilla JavaScript and Gutenberg blocks

    Live Demo: Product Configurator

    Your Configuration

    Total Price:$49

    Modeling Options in JavaScript

    The configurator uses data attributes to store pricing information directly in HTML elements. Each option carries its price value, making the system flexible and easy to maintain without hardcoding values in JavaScript.

    Select elements handle mutually exclusive choices (base packages), radio buttons manage grouped options (hosting types), and checkboxes allow multiple add-ons. This structure mirrors real-world product configuration scenarios.

    Calculation Logic & DOM Updates

    Event listeners on input elements trigger recalculation whenever users interact with the configurator. The script queries all selected options, extracts their data-price attributes, and sums them to generate the total.

    The summary section updates in real-time, displaying selected items with their individual prices. DOM manipulation is minimal and targeted, updating only the summary container and total price element for optimal performance.

    Formatting & Accessibility

    Currency formatting uses JavaScript’s toLocaleString() method to ensure proper dollar sign placement and comma separators. All form elements include proper label associations and semantic HTML for screen reader compatibility.

    Focus states are clearly visible, keyboard navigation works seamlessly, and ARIA attributes could be added for enhanced accessibility. The configurator maintains WCAG contrast ratios throughout.

    How AI Builder Generates This

    AI Builder automatically generates the complete Gutenberg block structure, including the HTML block containing the configurator markup. It creates semantic, accessible HTML with proper data attributes for each pricing option.

    The AI produces custom CSS that styles the configurator with modern design patterns, responsive layouts, and smooth transitions. It ensures visual consistency with your site’s color scheme and typography.

    Finally, AI Builder generates the vanilla JavaScript that powers the configurator: event listeners, calculation logic, DOM updates, and formatting functions. All code is production-ready and optimized for performance.

    Reproduce This Feature

    Use this exact prompt with AI Builder to generate your own product configurator:

    Create a WordPress page presenting a "Mini Product Configurator": radio/select/checkbox options that update a total price and a live summary (e.g., "Base + Option A + Priority support"). Implement in vanilla JS inside an HTML block (data-driven options, calculation, DOM updates). 
    Copied!

    Start Building with AI Builder

    Generate complete WordPress pages with custom functionality in seconds. No coding required.

  • Completion Score Feature Demo

    Completion Score Feature Demo

    Watch your profile completion percentage grow as you fill in the form fields below. A real-time progress bar and smart weighting system guide you to 100%.

    What is a Completion Score?

    A completion score is a dynamic percentage that reflects how much of a user profile or form has been filled out. It combines a visual progress bar with real-time feedback, encouraging users to complete all fields and improve data quality.

    This demo showcases a weighted scoring system where critical fields (email, phone) contribute more to the total score than optional ones. The progress bar animates smoothly, providing instant visual gratification.

    Live Demo: Complete Your Profile

    0%
    Profile Completion

    Essential Information

    Profile Details

    Optional

    UX Rationale & Design Decisions

    Weighted Scoring System

    Not all fields are equal. Email and phone (20% each) are weighted higher because they’re critical for communication. Profile details like name and bio (15% each) come next, while optional fields (company, website, location at 10% each) round out the score. This weighting reflects real-world importance and guides users to prioritize essential information.

    Accessibility Considerations

    All form inputs have associated labels for screen readers. The progress bar includes ARIA attributes (role, aria-valuenow, aria-valuemin, aria-valuemax) to announce completion percentage. Focus states are clearly visible, and color contrast meets WCAG AA standards. Keyboard navigation works seamlessly through all interactive elements.

    Performance & Smooth Animation

    The progress bar uses CSS transitions for smooth width changes, avoiding janky JavaScript animations. Event listeners are attached once on page load, and the scoring calculation runs in O(n) time. Debouncing isn’t needed here since checkbox/input changes are discrete user actions, not rapid-fire events like scrolling.

    How AI Builder Generates This Feature

    AI Builder transforms a simple text prompt into a complete WordPress page with Gutenberg blocks, custom CSS, and vanilla JavaScript. Here’s how it works for this completion score feature:

    1. Gutenberg Blocks: AI Builder creates a JSON structure with core/cover for the hero, core/group containers for sections, and a core/html block containing the form markup and widget structure.
    2. Custom CSS: The AI generates scoped styles for the completion widget, progress bar animations, form fields, and responsive breakpoints—all without conflicting with existing site styles.
    3. Vanilla JavaScript: AI Builder writes the complete logic for input listeners, weighted scoring calculation, progress bar updates, and ARIA attribute management—no libraries required.
    4. Instant Deployment: The generated code is production-ready and works immediately in WordPress, with no manual editing or debugging needed.

    This approach lets you prototype complex interactive features in seconds, then customize the generated code to match your exact requirements.

    Reproduce This Feature

    Want to generate this exact completion score feature in your own WordPress site? Copy the prompt below and paste it into AI Builder:

    Create a block demonstrating a "Completion Score" feature: a checklist + form inputs (email, phone, bio, etc.) and a percentage meter that updates as fields are completed, with a smooth animated progress bar. Implement the full logic in vanilla JS inside an HTML block (input listeners, weighted scoring, rendering). 
    Copied!

    Ready to Build Interactive Features?

    AI Builder empowers you to create complex, interactive WordPress pages with custom logic in seconds. No coding expertise required—just describe what you want, and watch it come to life.

  • Interactive Comparison Table with Gutenberg Blocks

    Interactive Comparison Table with Gutenberg

    Learn how to build a dynamic comparison table with column highlighting using vanilla JavaScript and Gutenberg blocks.

    Live Demo: Interactive Comparison Table

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    $9/mo
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    • API Access
    • Dedicated Manager

    Understanding the HTML Structure

    The comparison table uses a semantic structure with data attributes for JavaScript targeting. Each column is wrapped in a div with a data-plan attribute, making it easy to identify and manipulate specific pricing tiers.

    The key structural elements include a wrapper div for the entire table, individual column containers, header sections with pricing, feature lists and action buttons. This modular approach ensures maintainability and scalability.

    CSS Approach and Styling Strategy

    The CSS uses a mobile-first approach with flexbox for responsive column layouts. Hover states are managed through the .column-hover class, which applies a subtle transform and shadow effect to create visual feedback.

    The .best-choice-active class provides a persistent highlight with a distinctive border and background color. CSS transitions ensure smooth state changes, while custom properties enable easy theme customization. The design prioritizes clarity and visual hierarchy.

    Accessibility Considerations

    • Keyboard navigation support with focus-visible states for all interactive elements
    • ARIA labels on checkboxes to announce state changes to screen readers
    • Sufficient color contrast ratios meeting WCAG AA standards
    • Semantic HTML structure with proper heading hierarchy
    • Visual feedback that doesn’t rely solely on color

    Common Pitfalls to Avoid

    Avoid using inline styles for state management as they override CSS classes and make debugging difficult. Don’t forget to remove event listeners if dynamically adding/removing columns to prevent memory leaks.

    How AI Builder Can Generate This in WordPress

    AI Builder automatically generates the complete Gutenberg block structure, including the HTML block with the comparison table markup. It creates responsive CSS with hover states, transitions, and mobile-first breakpoints tailored to your brand colors.

    The plugin injects vanilla JavaScript for state management, handling column highlighting on hover. Everything is production-ready with accessibility features, semantic HTML, and clean code architecture—no manual coding required.

    Prompt to Reproduce This Feature

    Create a block showcasing a “Comparison Table” interaction: hovering a column highlights the entire column. Implement in vanilla JS inside an HTML block (class toggling, state handling). In the post, explain the HTML structure, recommended CSS approach, accessibility considerations, and pitfalls.
    Copied!

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  • Copy-Ready Stats Block Prompts for AI Builder

    Copy-Ready Stats Block Prompts

    Ready-to-use prompts for creating stunning stats blocks with AI Builder. Each example includes a working component and the exact prompt to recreate it.

    Interactive Stats Components

    Below you’ll find four professional stats block examples. Each component is fully functional and comes with a copy-ready prompt that you can use directly in AI Builder to recreate the exact same design and functionality on your WordPress site.

    Example 1: Animated Counter Stats

    A clean stats block with animated counters that increment from zero to the target value. Perfect for showcasing key metrics and achievements.

    0
    Active Users
    0
    Satisfaction Rate
    0
    Projects Completed
    0
    Support Hours

    Copy This Prompt

    Create a stats block with 4 columns showing: 2500 Active Users, 98% Satisfaction Rate, 150 Projects Completed, and 24/7 Support Hours. Add animated counters that count up from 0 when the section becomes visible. Use a clean, modern design with large numbers and subtle labels below each stat.

    Example 2: Progress Bar Stats

    Stats displayed with animated progress bars that fill to their target percentage. Ideal for showing completion rates, skill levels, or performance metrics.

    Customer Retention0%
    Project Success Rate0%
    Team Productivity0%
    Client Satisfaction0%

    Copy This Prompt

    Create a stats block with animated progress bars showing: Customer Retention 94%, Project Success Rate 89%, Team Productivity 96%, and Client Satisfaction 92%. Each bar should animate from 0% to its target value when scrolled into view. Use a horizontal bar design with the label on the left and percentage on the right.

    Example 3: Icon-Based Stats Grid

    A visually rich stats grid with icons, animated numbers, and descriptive text. Perfect for feature highlights or service statistics with visual appeal.

    🚀
    0
    Launches This Year
    0
    Average Rating
    👥
    0
    Community Members
    🏆
    0
    Awards Won

    Copy This Prompt

    Create an icon-based stats grid with 4 items: 500+ Launches This Year (rocket icon), 4.9 Average Rating (star icon), 10,000+ Community Members (people icon), and 25 Awards Won (trophy icon). Each stat should have an icon in a colored circle, an animated counter, and descriptive text below. Use a card-style layout with subtle shadows.

    Example 4: Dynamic Statistics Block

    Visualize your data with interactive line charts. Track multiple metrics over time with smooth animations and responsive design.

    Create a statistics block with a line chart showing two data series: ‘Revenue’ (blue line) with values [45, 52, 48, 65, 72, 68, 85] and ‘Users’ (yellow line) with values [30, 38, 42, 55, 61, 58, 70] across 7 months (Jan-Jul). Include smooth animations, responsive design, grid lines, and a legend.

    Ready to Build Your Own Stats Blocks?

    Install AI Builder and use these prompts to create professional stats blocks in seconds. No coding required—just copy, paste, and customize to match your brand.

  • Interactive Glossary with Tooltips & Side Panel

    Interactive Glossary with Tooltips

    Hover or tap technical terms to see instant definitions. Click for detailed explanations in a side panel.

    What is an Interactive Glossary?

    An interactive glossary enhances user experience by providing contextual definitions without disrupting reading flow. When users encounter unfamiliar terms, they can hover for a quick tooltip or click for comprehensive details in a side panel.

    Live Demo: Try the Glossary

    Modern web development relies heavily on APIs to connect different services. When building a SPA, developers often use REST or GraphQL to fetch data. Understanding CORS is essential for secure cross-origin requests.

    Performance optimization involves techniques like lazy loading, caching, and CDN usage. Modern frameworks implement SSR for better SEO and initial load times.

    Implementation Strategy

    Markup with Data Attributes

    Each glossary term uses a data-term attribute to link to its definition in the JSON object. The aria-describedby attribute connects terms to their tooltips for screen readers, ensuring accessibility compliance.

    Tooltip Behavior: Desktop vs Mobile

    On desktop, tooltips appear on hover with a 300ms delay to prevent accidental triggers. On mobile, tap shows the tooltip briefly before opening the full panel. Touch events are detected to optimize the experience for each device type.

    Accessibility Features

    • ARIA roles and labels for screen reader support
    • Keyboard navigation with Escape key to close panel
    • Focus management when panel opens and closes
    • High contrast colors meeting WCAG standards

    Performance Optimization

    The glossary uses event delegation on the container rather than individual listeners on each term. Definitions are stored in a single JSON object for instant lookup. CSS transforms handle animations for smooth 60fps performance.

    How AI Builder Can Generate This

    AI Builder transforms your description into a complete WordPress page with Gutenberg blocks, custom CSS, and functional JavaScript. Simply describe your interactive glossary feature, and AI Builder generates the JSON block structure, styles the tooltips and panel, and creates the vanilla JS logic for term detection and interaction.

    The AI handles responsive design, accessibility attributes, and performance optimization automatically. You get production-ready code that works immediately, with no manual coding required.

    Prompt to Reproduce This Feature

    Use this exact prompt with AI Builder to create your own interactive glossary page:

    Create an "Interactive Glossary": certain terms in the content show a tooltip on hover/tap, and clicking a term opens a side panel with the full definition. The glossary should be driven by a JSON object inside the JavaScript. Implement it in vanilla JS inside an HTML block. 
  • UTM Link Builder with Reusable Templates – Interactive Demo

    UTM Link Builder with Reusable Templates

    Build, save, and reuse UTM campaign links instantly. A mini SaaS prototype powered by vanilla JavaScript.

    What Are UTM Parameters?

    UTM parameters are tags you add to URLs to track the effectiveness of marketing campaigns in analytics tools like Google Analytics. They help you identify which sources, mediums, and campaigns drive the most traffic and conversions.

    The five standard UTM parameters are: utm_source (traffic source), utm_medium (marketing medium), utm_campaign (campaign name), utm_content (ad variation), and utm_term (paid keywords).

    Interactive Demo

    Try the UTM builder below. Enter your URL and campaign details, then save templates for quick reuse.

    Generated URL

    Enter details above to generate URL

    Why Templates Speed Up Growth Experiments

    Growth marketers run dozens of experiments weekly. Manually building UTM links for each campaign is tedious and error-prone. Reusable templates eliminate repetitive work and ensure consistency across campaigns.

    With saved templates, you can instantly generate links for recurring campaigns like newsletters, social posts, or paid ads. This speeds up execution and reduces mistakes in tracking parameters.

    How the JavaScript Works

    The demo uses vanilla JavaScript with no external libraries. It listens to input changes, validates the base URL format, and builds the final URL by appending UTM parameters using encodeURIComponent() to handle special characters safely.

    Templates are stored in localStorage as JSON objects. When you save a template, the app serializes the current form state and stores it with a unique name. Loading a template retrieves the data and populates the form fields instantly.

    The copy-to-clipboard feature uses the modern navigator.clipboard.writeText() API with fallback handling. Success and error messages appear as toast notifications with auto-dismiss timers.

    Accessibility Considerations

    All form inputs have proper labels for screen readers. The copy button is disabled until a valid URL is generated. Toast messages use ARIA live regions to announce status changes to assistive technologies.

    How AI Builder Can Generate This in WordPress

    AI Builder is a WordPress plugin that generates complete pages from simple descriptions. Instead of manually coding Gutenberg blocks, CSS, and JavaScript, you describe what you need and the AI creates production-ready code instantly.

    For this UTM builder prototype, AI Builder would generate the Gutenberg JSON structure, custom CSS for styling the form and preview area, and vanilla JavaScript for URL building, validation, localStorage management, and clipboard operations—all in seconds.

    This approach is perfect for rapid prototyping. You can test ideas, gather feedback, and iterate quickly without writing boilerplate code. AI Builder handles the technical implementation while you focus on product strategy.

    Prompt to Reproduce This Feature

    Want to recreate this UTM builder in your own WordPress site? Copy the prompt below and use it with AI Builder:

    Create a mini SaaS prototype: "UTM Link Builder with reusable templates." The page must include a working interactive demo built with vanilla JavaScript inside a single HTML block (no external libraries).
    
    Requirements: inputs for base URL + utm_source + utm_medium + utm_campaign + optional utm_content/utm_term; live preview of the final URL; validation for URL; a "Copy link" button; a "Save template" button that saves current UTM fields to localStorage; a "Templates" dropdown to load/delete saved templates; small success/error toasts.
    

    Ready to Build Faster?

    AI Builder helps you prototype WordPress features in minutes, not hours. Generate complete pages with custom functionality using simple descriptions.