Can I vibecode Avoma?

text
Build a comprehensive personal AI meeting assistant and revenue intelligence clone inspired by Avoma.
Start in an empty repository. Use Python 3.12, FastAPI, SQLite, whisper.cpp, and a clean HTMX interface with Tailwind CSS for modern aesthetics. Do not offer alternative stacks.
The core job to be done: Record or import a meeting, transcribe it locally with high accuracy, automatically generate smart notes (action items, decisions, next steps), and provide "coaching insights" based on talk patterns (talk-time analysis, objection handling tracking, keyword detection).
Make the first run work locally with one documented command. Store all user data locally in SQLite.
Put API keys for any optional LLMs in .env, ship .env.example, and never commit credentials.
Build an intuitive recording interface with explicit start, pause, resume, and stop controls, plus a highly visible recording indicator.
Support dragging and dropping WAV, MP3, M4A, and MP4 files through ffmpeg for import.
Run transcription locally using whisper.cpp and display timestamped, speaker-labeled editable segments.
Implement a "Smart Notes" generator that extracts actionable insights and formats them clearly.
Build a "Coaching Dashboard" that analyzes the transcript for talk-time ratio (who spoke most), identifies filler words, tracks custom keywords (e.g., pricing, competitors), and scores the overall conversation flow.
Provide a "Chat with Meeting" feature allowing users to query the transcript using a local or API-based LLM.
Include CRM-like export capabilities: allow pushing structured notes to Markdown or a mock CRM endpoint.
Include clear empty, loading, success, and recoverable error states. Validate all input.
Write focused tests for the core transcription, data extraction, and talk-pattern analysis, plus one end-to-end smoke test.
Create a comprehensive README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Deliberately leave out automatic bot attendance in Zoom/Teams (user provides audio).
Deliberately leave out team workspaces, enterprise routing, and real CRM syncing.
Finish by running the tests and listing the exact commands used to run the app.