# Product Specification Document ## Product: Input Enhancer Browser Extension (IEBE) ### Version: 1.0 #### Last Updated: June 21, 2023 ## Objective Input Enhancer Browser Extension (IEBE) aims to empower users to harness the full potential of web-based platforms that rely on input text or queries. By utilizing an AI large language model, the extension will provide intelligent suggestions to optimize and refine input queries for search engines, AI language models, AI image generators, and similar platforms where the quality of the input significantly affects the output. ## Success Metrics 1. User Acquisition: Acquire 10,000 active users within the first 3 months of launch. 2. User Retention: Achieve a 30-day user retention rate of at least 50%. 3. User Satisfaction: Obtain a net promoter score (NPS) of 8 or higher. 4. Platform Integration: Integrate with at least 3 major platforms (e.g., Google, OpenAI, DeepArt) within the first 6 months. 5. User Feedback: Collect and categorize at least 200 pieces of user feedback within the first month. ## Assumptions 1. Users are seeking ways to optimize their inputs to yield better results from AI-based platforms. 2. Major web-based AI platforms allow integration or customization through browser extensions. 3. The AI large language model integrated into the extension can understand and enhance a variety of queries. 4. Users are concerned about data privacy and want assurances that their data is not being stored or misused. ## Milestone Roadmap 1. Phase 1: Research & Planning (Month 1-2) - Market research and validation - Competitor analysis - Initial technical architecture design - Identifying AI large language model options - Establishing partnerships with web-based AI platforms 2. Phase 2: Development (Month 3-5) - Developing the browser extension - AI model integration and optimization - Designing the UI/UX for the extension - Alpha testing 3. Phase 3: Testing & Feedback (Month 6-7) - Beta release to a select group of users - Collecting user feedback - Fixing bugs and improving UX based on feedback 4. Phase 4: Launch (Month 8) - Public release - Marketing campaign - Establishing customer support 5. Phase 5: Post-Launch (Month 9-12) - Collecting and analyzing user feedback - Releasing updates and new features - Expansion to more platforms - Measuring success metrics ## Requirements ### Functional Requirements 1. Input Suggestion: Provide users with suggestions to improve their queries/input text. 2. Platform Compatibility: Be compatible with major browsers like Chrome, Firefox, and Edge. 3. AI Model Integration: Seamless integration of AI large language model. 4. Customization: Allow users to enable/disable or customize suggestions for specific websites. 5. Data Privacy: Ensure that user data is not stored and maintain privacy. ### Non-Functional Requirements 1. Usability: Simple and intuitive UI/UX design. 2. Performance: Quick response times for suggestions (less than 2 seconds). 3. Scalability: Be able to handle an increasing number of users. 4. Security: Secure handling of user data and ensure no vulnerabilities. ## User Flows 1. Installation & Setup - User installs the extension from the browser’s extension store. - User sees a welcome screen with a brief tutorial. - User can select specific websites to use the extension with. 2. Usage - User enters text into a web-based AI platform. - The extension provides suggestions to enhance the input in real-time. - User can choose to accept, modify, or ignore these suggestions. 3. Feedback - User can access a feedback form through the extension settings. - User can provide feedback and rate their experience. ## Technical Specification The IEBE will be built as a JavaScript browser extension, compatible with Chrome, Firefox, and Edge. The extension will make use of a client-side JavaScript AI model like TensorFlow.js or similar technology. All user data processing will happen locally on the client's machine to ensure data privacy. ## Open Questions 1. How does the extension handle complex or technical queries? 2. What strategies can we implement to ensure user data privacy? 3. What languages will the extension initially support? 4. How does the extension handle dynamic web elements? 5. What is the optimal way to handle model updates for the extension? ## Out-of-Scope 1. Mobile app version of the extension is not included in the current scope. 2. Personalized user profiles or user data tracking is out of scope due to privacy considerations. 3. Support for all web platforms - initial launch will focus on key partners, with more added over time. 4. Multilingual support - initial version will be English only, with additional languages added in future updates.