Commentify AI Core: AI Comment Generator UI.

Commentify AI Core Project Overview

Commentify AI Core is an AI-powered web application designed to help users create, customise, review, and export social media comments and product reviews.

The platform simplifies a process that normally requires repeated writing, editing, and formatting. Users can add a product link or enter product information manually. The system then uses that information to generate relevant comments based on selected settings.

Users can control the language, tone, length, response style, and profile details before generating content. They can also review and edit each result before downloading it as text or an image.

The goal was to create a clear AI comment generator interface that makes advanced content settings easy to understand and use.

The Product Challenge

Generating useful social media comments is not as simple as producing random sentences.

The content must match the product, audience, platform, and intended purpose. A casual engagement comment may require a different tone from a professional customer review or an informative product response.

Users may also need several variations for different accounts, audience groups, or campaign requirements.

The main design challenges included:

• Collecting product information without creating a long form
• Organising multiple AI generation settings clearly
• Allowing users to control tone, language, and comment length
• Supporting different comment and review objectives
• Presenting generated results in an editable format
• Making profile settings understandable
• Keeping the workflow simple for first-time users
• Providing convenient export options

The interface needed to support detailed controls without making the experience feel technical or complicated.

Our AI Web App Design Solution

We designed Commentify AI Core around a clear, step-by-step workflow.

Instead of showing every setting on one crowded screen, the product guides users from product input to content customisation, profile settings, preview, editing, and final export.

This structure helps users understand what information is required and how each setting affects the generated result.

Product Information Input

Generate Content From a Product Link

Users can begin by adding a product URL.

The application is designed to extract useful product details from the supplied link. This reduces manual data entry and gives the AI relevant context before it generates comments or reviews.

The URL-based workflow is useful when users want to create content for an existing product page, online listing, or campaign landing page.

Add Product Details Manually

Users can also enter the product information themselves.

The manual option gives users greater control when a public URL is unavailable or when they want to provide specific context that may not appear on the product page.

Manual details may include:

• Product name
• Product category
• Key features
• Benefits
• Intended audience
• Brand information
• Campaign context

Providing clear product information helps the system generate more relevant and focused responses.

Custom Comment Settings

Commentify AI Core allows users to control how the generated content should sound and what it should achieve.

Comment Type

Users can select the purpose of the generated response.

For example, they may want comments that encourage engagement, provide feedback, describe a product benefit, or present a review-style opinion.

Separating comments by objective helps the generated results feel more intentional.

Language Selection

The interface includes language controls for users working with different markets and audiences.

A clear language selector makes it easier to prepare content for regional pages, international campaigns, and multilingual social media accounts.

Tone of Voice

Users can choose a tone that matches their brand and audience.

Available directions may include:

• Casual
• Professional
• Informative
• Friendly
• Conversational
• Feedback-focused

The tone setting allows the same product information to produce different types of responses.

Comment Length

Users can control the approximate length of the generated comments.

Short comments are useful for quick engagement, while longer responses can provide more detail or context. The length control helps users generate content that better fits the intended platform.

AI Profile Attributes

Commentify AI Core also includes profile settings for generated comments.

Users can define attributes such as country, gender, and age. These settings help create different content perspectives and allow users to test how responses may vary across audience profiles.

The profile options are organised as clear controls rather than technical AI parameters. This makes the feature easier to understand for users without experience in prompt engineering.

The purpose of these settings is to give users more control over the style and context of the generated output.

Comment Preview and Editing

AI-generated content should not be published without review.

Commentify AI Core includes a preview stage where users can inspect the generated comments before finalising them.

Users can:

• Read each generated comment
• Compare multiple variations
• Correct inaccurate details
• Adjust the wording
• Add brand-specific language
• Remove unsuitable responses
• Personalise the final content

The editing workflow keeps the user in control and turns the generated content into a starting point rather than an automatic final answer.

Exporting Generated Content

After reviewing and editing the results, users can export the generated comments.

The application supports downloadable text and image-based outputs. These options make it easier to reuse the content across different workflows.

Text exports can support content planning, spreadsheets, campaign documents, or manual publishing. Image exports can support visual previews, presentations, and social media planning.

The export step is placed at the end of the workflow so users can verify the content before saving it.

User Experience Design Approach

Clear Step-by-Step Navigation

The application follows a guided process from input to output.

Users always know which stage they are currently completing and what action should come next. This reduces confusion and prevents important settings from being missed.

Simple Form Controls

Language, tone, length, comment type, and profile attributes are presented using familiar form components.

Dropdowns, selectors, input fields, cards, and buttons make the settings easier to scan and change.

Strong Visual Hierarchy

Important actions receive greater visual priority.

Primary buttons guide users forward, while supporting controls remain accessible without competing for attention. Headings and short descriptions explain the purpose of each section.

Editable AI Output

Generated content is presented in a format that supports review and modification.

This is important because users may need to correct product details, match brand guidelines, or remove content that does not fit the intended campaign.

Consistent Interface Components

The design uses repeated cards, controls, buttons, spacing rules, and typography styles.

Consistent components make the application easier to learn and support future product expansion.

Possible Use Cases

Commentify AI Core can support several content and marketing workflows.

Social Media Campaign Planning

Marketing teams can create multiple comment ideas for campaign planning and engagement research.

Product Review Drafting

Users can generate review-style drafts based on supplied product details and then edit them for accuracy and relevance.

Tone Exploration

Brands can compare casual, professional, friendly, and informative versions of the same response.

Multilingual Content Preparation

Teams managing international accounts can prepare comment variations for different languages and markets.

Content Variation Testing

Users can generate several versions and compare which style best matches their audience or campaign direction.

AI-generated content should still be reviewed for accuracy, authenticity, platform compliance, and appropriate disclosure before publication.

Tools Used

The Commentify AI Core interface was designed using Figma.

Figma supported the creation of user flows, form layouts, reusable components, interactive screens, and visual consistency across the web application.

The tool also made it easier to review the complete generation process, from product input to comment export.

Future Product Direction

The original product concept also identified several possible future enhancements.

These included engagement tracking, direct SMS sharing, and a database for saving generated comments. These features were presented as future ideas rather than confirmed parts of the current design.

A saved-content database could help users organise previous generations. Engagement tracking could provide information about how published content performs. Direct sharing options could reduce the number of steps required to move content into other workflows.

The Final Result

The final Commentify AI Core design turns a complex AI content-generation process into a structured web experience.

The application brings together:

• Product URL analysis
• Manual product entry
• Comment-type selection
• Language controls
• Tone customisation
• Length settings
• AI profile attributes
• Comment previews
• Manual editing
• Text and image exports

The result is a focused AI web app interface that gives users meaningful control over generated content while keeping the workflow clear and approachable.

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