Title: Fluid Editorial: AI-Powered Transcript

Title: Fluid Editorial: AI-Powered Transcript Summarizer Platform: Web Application / AI SaaS Live Demo: notes-summarizer-nu.vercel.app

Overview: Fluid Editorial is an AI-driven productivity workspace designed to convert raw, messy meeting transcripts into polished, actionable documentation. Built with a crisp, modern, light-mode enterprise aesthetic, the application acts as a "Remote Atelier," instantly structuring unstructured data so teams can focus on execution rather than administration.

The tool bypasses the standard "wall of text" output typical of basic AI wrappers, instead utilizing a highly opinionated UI that separates insights into distinct, scannable architectural blocks: Executive Summaries, Key Decisions, Action Items, and Next Steps.

Key Features:

Frictionless Ingestion: Supports direct text pasting or drag-and-drop file uploads (.txt, .docx, .pdf up to 50MB) for rapid processing.

Granular AI Control: Users can customize the processing parameters before generation, selecting specific summary styles (e.g., Executive), tones of voice, and toggling automatic speaker detection.

Structured Action Extraction: The AI doesn't just summarize; it actively assigns tasks. The output dashboard isolates specific action items and visually assigns them to recognized team members via UI tags.

Workspace Management: Features a built-in History Dashboard with a searchable index of past transcripts, a workspace storage tracker, and native one-click PDF exports for easy team distribution.

My Role: End-to-end development, including enterprise SaaS UI/UX design, frontend engineering, and AI prompt-structuring to guarantee consistent, highly formatted data outputs.