Markus Gotthard Dold · MUSIC.AI

Outcome-first music for execution, capital and recovery.

A personal AI Music Director that selects the right soundtrack for the next 30-120 minutes: focus, sales, negotiation, investor work, deep work, travel or recovery.

Current mode Build Mode

Ben Boehmer Radio

30-120
minute sessions
74%
energy target
91%
focus score
LAN
Sonos bridge
Performance director

Not a jukebox. A decision system.

Music is selected for outcome: deal flow, writing quality, technical productivity, negotiation posture, strategic thinking, mood stabilization and recovery.

Mood Assessment

Builder Mode

Energy74%
Stress32%
Focus91%
Recommended Mode

Build Mode

Recommended Playlist

Ben Boehmer Radio

Deep melodic momentum for structured execution without emotional spikes.

Reasoning

Strong cognitive capacity and a build-oriented task profile.

Expected Outcome

One clean 60-minute execution block with stable focus and reduced context switching.

Type an artist or song above and press the main button. Longer work context becomes a recommendation.

Search Results

No search yet

Search an artist or song to select tracks here.

Local Music Archive results are preferred; Apple Music is used as fallback.

Local network

Sonos control from this desk.

The browser talks to a local Node bridge. The bridge discovers Sonos speakers on the LAN, reads favorites, sets volume and starts playback through Sonos UPnP.

Bridge status

Checking local bridge

42%

Start the local server, then discover speakers.

Playback

Favorites and session launch

For Spotify, add the desired playlists or artist radios to Sonos Favorites first, then MUSIC.AI can launch the closest match.

Search results

Mark tracks for a new playlist

Search for an artist or song in the large director field.

Local Music Archive results are preferred; Apple Music is used as fallback.

Your Services

Sonos services

Discover speakers to load services.

Sonos Playlists

No playlists loaded yet.

Recently Played

No recently played items loaded yet.

Learning loop

Consistency beats novelty.

Completed sessions are stored locally and used to slightly bias future recommendations toward what has worked.

Local profile

No completed sessions yet.

Recommendations will adapt after session feedback.