Can AI replace Vidyard?

Build a closest honest personal substitute for Vidyard in an empty repository.
Use Tauri 2, React, TypeScript, ffmpeg, and SQLite; do not offer alternative stacks.
The core loop is: record personalized sales videos by capturing a screen or window with microphone audio, trim and annotate key moments, organize the files locally, and export shareable videos for manual sending.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Offer screen, window, or region capture plus optional microphone audio.
Show an always-visible recording timer and make stop available from the tray.
Create a non-destructive trim view with crop, zoom, cursor highlight, and text callouts.
Render locally through ffmpeg with sensible H.264 and WebM presets.
Generate a poster frame, transcript, and Markdown summary beside each video.
Provide copy-file-path and reveal-in-folder actions instead of mandatory cloud upload.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out public cloud hosting.
Deliberately leave out viewer identity and engagement analytics.
Deliberately leave out enterprise workspaces and SSO.
Finish by running the tests and listing the exact commands used.