# How to Vibe Code Your Own Jamie (and Stop Paying for It) > The privacy-first AI note taker. Without a bot. - Site: https://meetjamie.ai - Category: Productivity & AI - Verdict: **Serious undertaking** (45/100 vibecodeable) - Estimated effort: 4-6 weeks of part-time development ## Verdict Build a basic web-based meeting recorder subset, but keep paying for the native desktop app. The single biggest catch is writing low-level cross-platform audio capture code for macOS and Windows. Vibecoding a personal clone of Jamie requires tackling two distinct domains: a high-level AI summarization pipeline and a low-level native desktop app that records system audio. While Claude Code and Cursor can easily scaffold the Next.js frontend, database schemas, and LLM prompting layers, capturing system audio cleanly on macOS and Windows without third-party virtual audio cables is notoriously painful and prone to edge-case bugs. A solo developer can build a web-upload version or a basic recording utility over a single weekend, but achieving a polished, low-latency native menubar app with local audio buffering takes weeks of dedicated systems debugging. ### What you can't replicate - Pre-existing enterprise compliance certifications (ISO 27001, SOC 2 Type II) - Deep vendor ecosystem trust and brand reputation among European executives - Years of fine-tuned speaker diarization and custom vocabulary heuristics ## What it does An AI-powered meeting assistant and note-taker that operates as a native local desktop app, recording system/microphone audio directly, transcribing across 100+ languages, auto-identifying speakers, and extracting action items without deploying an artificial meeting bot into calls. ### Core features - Local system and microphone audio recording without virtual meeting bots - Native desktop client for macOS (Apple Silicon optimized) and Windows - Multi-language speech-to-text transcription across 100+ languages - Speaker diarization and Speaker Memory mapping names to voices - AI summary and action item extraction via frontier LLMs - Ask Jamie conversational assistant sidebar over meeting history - Native iOS and Android companion apps with live activities - Calendar integration for automatic meeting detection and metadata tagging ## The business ### Pricing - Free: €0 — Start free. Upgrade anytime. - Plus: €21/mo — Great for busy professionals, billed annually. - Pro: €39/mo — For high-volume & power users, billed annually. - Team: €33/mo per seat — A secure, collaborative workspace for startups and growing teams, billed annually. - Enterprise: Custom — Enterprise-grade AI, security, and support at scale. Founded 2022. Team size: 20 to 40. ## The hard parts - Cross-platform system audio capture on macOS and Windows without breaking user audio devices or requiring complex third-party drivers - Robust offline/hybrid speaker diarization and voice fingerprinting matching across sessions - Local performance overhead of continuous high-fidelity audio buffering and encoding - Zero-data-training privacy guarantee architecture and secure vaulting of meeting archives ## How to vibe code Jamie ### Prerequisites - Node.js (free): Runtime environment for building and executing the web dashboard and toolchain scripts. - GitHub (free): Version control repository hosting and CI/CD deployment pipeline. - Cursor (free): AI-native code editor for iterative multi-file frontend and backend implementation. ### Recommended AI tools - Claude Code: Terminal agent for scaffolding backend services, API integrations, and database schemas end-to-end. - Cursor: Primary code editor for crafting UI components, sidebar chats, and transcript viewers with inline diff reviews. ### Stack - Frontend: Next.js - Backend: Next.js API Routes - Database: Turso - Auth: better-auth - Payments: none - Other: Vercel AI SDK, OpenAI API, Tailwind CSS ### Hosting - Vercel (Hosting the Next.js web dashboard, API routes, and frontend interface.): $0-20/mo - Turso (Serverless edge SQLite database storing meeting metadata, transcripts, and summaries.): $0/mo ### Build guide 1. **Project Scaffolding & Database Schema** — Initialize the Next.js project with Tailwind CSS, configure Turso for SQLite connectivity, and set up better-auth for single-user authentication. ``` Create a new Next.js project with TypeScript, Tailwind CSS, and App Router structure. Configure Turso (libSQL) database connections using Drizzle ORM or native libSQL client. Set up better-auth for user authentication with email/password and session management. Ensure environment variables are structured securely in .env.local with validation. Create database tables for users, meetings (id, title, date, duration, raw_transcript, structured_summary, action_items), and speakers. ``` 2. **Audio Recording & Upload Interface** — Build a responsive web dashboard UI featuring a meeting recorder component that captures microphone/audio input via browser MediaRecorder API or handles direct audio file uploads. ``` Build a clean Next.js dashboard with a dark mode interface resembling a modern executive productivity app. Implement a 'Start Meeting' recording view with a live timer, pause/resume controls, and a waveform visualizer. Add a file upload dropzone supporting MP3, WAV, and M4A audio formats for pre-recorded meetings. Handle client-side audio chunking and secure submission to backend storage or processing endpoints. ``` 3. **Transcription & AI Summarization Pipeline** — Integrate OpenAI Whisper for speech-to-text transcription and structured LLM prompt workflows via the Vercel AI SDK to generate executive meeting summaries and extract action items. ``` Implement a server-side transcription and processing pipeline in Next.js. When an audio file is uploaded or submitted, send it to the OpenAI Whisper API to extract a time-stamped transcript with speaker labels. Then, pass the transcript through Claude 3.5 Sonnet (via Vercel AI SDK) using a rigorous system prompt to generate a structured meeting summary (key takeaways, detailed notes, decisions) and a separate list of actionable tasks with assignees. Store the results securely in the Turso database linked to the meeting record. ``` 4. **Meeting Workspace & Rich Note Editor** — Create a rich-text meeting detail view with inline editing, task checkboxes, export utilities, and a team sharing mechanism. ``` Build a meeting detail view in the Next.js app displaying the generated summary, raw transcript with speaker attribution, and actionable task lists with interactive completion checkboxes. Implement a rich text editor supporting block-level formatting, highlights, and custom summary template selection. Add export and copy-to-clipboard buttons for instant sharing of meeting notes. ``` 5. **'Ask Jamie' Conversational Assistant Sidebar** — Develop a persistent slide-over chat sidebar allowing users to query past meeting transcripts and knowledge bases using retrieval-augmented generation (RAG). ``` Implement an 'Ask Jamie' slide-over chat sidebar accessible globally via keyboard shortcuts (Cmd+J). Build a RAG querying mechanism that indexes past meeting transcripts and summaries stored in Turso, retrieves relevant context based on user prompts, and streams conversational responses using the Vercel AI SDK and Claude Sonnet. Ensure code blocks and citations within chat answers include copy buttons and links to source meetings. ``` ### Cost vs paying **Starting costs (one-time):** - Domain name (optional): $12 one-time - Total: ~$12 one-time **Ongoing costs (monthly):** - Vercel Hobby / Cloudflare: $0/mo - OpenAI Whisper & LLM API Usage: ~$5-15/mo depending on meeting volume - Total: ~$5-15/mo - Paying for the SaaS instead: €39/mo (Pro tier) - Build time: 25-35 hours - AI tool credits: $20/mo (Claude Pro / Cursor Pro) - Break-even: Immediate if replacing Pro tier for personal use ## Sources - [Jamie Official Website](https://meetjamie.ai) - [Tracxn Company Profile - Jamie (wespond UG)](https://tracxn.com/d/company/jamie/__T6pWw946FvT7tF10LqB4lqg3XyB27eM9O199Lw0s) - [GetLatka SaaS Revenue Metrics - Jamie](https://getlatka.com)