Intelligent Web Research & AI Content Assistant Prototype – Built with Vibe Coding
Client
The client approached us with a business idea aimed at solving a major pain point faced by knowledge workers and content-driven professionals. They wanted to build a tool that would help users capture information from the web and transform it into well-structured content with minimal effort. They were not content creators themselves, but they identified a market need and wanted a working prototype to validate the concept before investing in full-scale development. Their goal was to explore whether a solution could streamline the research-to-writing workflow for end users by reducing the time spent on collecting data, drafting content, reviewing, and proofreading.
Problem Statement
During market analysis, the client observed that knowledge workers, students, researchers, book writers, and content creators often gather large amounts of text from various web pages. However, they experience a disjointed and inefficient workflow :
- Manually copying and saving useful information
- Struggling to organize and revisit collected snippets
- Spending significant time converting notes into structured, polished content
- Reviewing, refining, and proofreading text repeatedly
Existing solutions were limited—some only saved snippets, while others only improved writing. No holistic solution combined web snippet collection with AI-powered content generation, review, suggestions, and proofreading in a unified experience. This market gap created an opportunity to develop a more powerful and integrated research-to-writing assistant.
Solution
The prototype demonstrated essential features:
- Text Highlighting: Select and highlight text on any webpage.
- Popup Menu: Display contextual actions after selection.
- Copy to Clipboard & Save Snippets: Instantly copy or save highlighted text locally.
- Quick Web Search: Search selected text instantly online.
We strategically designed the prototype with future enhancements in mind, including:
- Snippet Management: Folder-based organization.
- Notes & Tags: Adding context or metadata.
- Export Options: PDF, DOCX, Markdown.
- Cloud Sync: Chrome Sync or Google Drive.
- AI Summarization: Turn long text into concise points.
- Instant Translation: Convert text into preferred languages.
- Dictionary Lookup: Quick definitions.
- Citation Generator: APA, MLA, Harvard.
- Text-to-Speech: Accessibility-focused reading.
Additionally, a defining feature of the planned full product is: AI-Powered Content Creation.
The extension will help users write content based on saved snippets by:
- Generating structured content: articles, reports, chapters, emails.
- Reviewing and refining drafts: improve organization and flow.
- Contextual writing suggestions: phrase-level and structural advice.
- AI-powered proofreading: grammar, clarity, and tone improvements.
This positions the product as more than a snippet collector—it becomes a complete research-to-writing assistant. The prototype validated the client’s business idea, demonstrating real user flow, usability, and market feasibility. This reflects our Vibe Coding philosophy—rapid, user-focused, iterative, and creativity-driven prototyping that transforms ideas into tangible solutions quickly.
Project Outcome
- The prototype validated the business idea and showed clear market viability.
- Core interactions—highlighting, saving, and managing snippets—worked seamlessly within the browser.
- Testing allowed us to define the roadmap for advanced features and AI-powered content creation.
- Building with Lovable enabled a fast, flexible, and iterative Vibe Coding approach, accelerating delivery significantly.
Conclusion
By proactively identifying the best approach and delivering a functioning prototype, we transformed the client’s business idea into a testable and meaningful solution. This project showcases the strength of Vibe Coding, demonstrating how rapid, user-centric development can turn innovative ideas into tangible prototypes and lay the foundation for a powerful, AI-enhanced product.
