5 numbers + 48 signed-hash word slots → 12 neurons → like. The DJ's taste paragraph now names the words the net
warms to and cools on; the heat map and the grid are scored with the station's own wording so the words block is
live. Checked: with identical tempo/energy/key, "wobble bass" vs "harmonica" separate cleanly on words alone.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K6897PWcUEwHiqZMcVnNF6
brain.js: 5 inputs (tempo, energy, key on the circle, minor) → 8 neurons → like, retrained from scratch on
every reaction and play count (a looped track is a loud 🔥). Its picture of the listener rides in the DJ's prompt
(most and least likely regions in words); the NEXT line shows the net's guess for the track in the oven. TASTE
draws the net with neurons firing for the current track, the prediction heat map, emoji and play counts on each
dot, the cooking track as a hollow mark, and THE FIVE tracks that define the station.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K6897PWcUEwHiqZMcVnNF6
Every track is a point (tempo across, energy up, colour = key, ring warm or cold by its reactions, size by how
much was said); the background is a kernel estimate of liking from the reactions, lit where warm outweighs cold.
Tabs per station with their seed marks, plus ALL. Reads the library's own rows; no new storage.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K6897PWcUEwHiqZMcVnNF6
Analyser on the player: bass breathes the rings and the seed mark, highs sharpen the lines, slow drift on the
phases; ground and grain are cached per song so the frame loop only redraws rings and core. Reactions are saved
with the track on each tap (they were only in memory before), and the tiles show them (💬 for words, ⏭ for a skip).
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K6897PWcUEwHiqZMcVnNF6
Stations: a seed, its name, taste and recent history are saved (IndexedDB v2) and listed on the seed screen as
seed marks to resume; a new seed opens a new station, picking a station resumes it with its taste intact.
KEEP: a labelled pill under the controls pins the current track (toggle), beside the ❤️ reaction which still keeps.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K6897PWcUEwHiqZMcVnNF6
Three timed renders through the worker took 8-24 s; the one that sat for 2+ min was Venice's queue stalling that
job. A second copy after 60 s bounds the wait at about normal + 60 s for an extra 3 cents on a bad day.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K6897PWcUEwHiqZMcVnNF6
No key in the page and none needed: calls go to inference.yolopreneur.lol with an x-app header, quota'd per person
per day; a saved personal key still goes straight to api.venice.ai. DJ defaults to claude-haiku-5-5 (llama-3.3-70b
is gone from Venice's list). The ?demo key path is removed.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K6897PWcUEwHiqZMcVnNF6
Type a seed → a DJ (Venice chat, JSON) writes tags, lyrics, bpm, key, energy for each track → ACE-Step 1.5 on
Venice renders 60 s → Pandora-style player with render-ahead. Covers are deterministic: hue from key, rings from
bpm, grain from energy, symmetry and core mark from the seed. Emoji + text reactions edit the station's taste;
❤️ keeps a track in an IndexedDB library (free replays). Venice key stays in the browser (CSP: api.venice.ai only).
Claude-Session: gandora-poc
A Step node is one Gitea Actions step as it is (run, uses, with, env): inert in the browser, verbatim in the
export. Import now takes any Actions workflow file, not only one exported from here: its steps become a chain of
Step nodes and the rest of the file (on, permissions, concurrency, the job's runs-on and env) is kept as the
workflow's frame, so it exports back as it came in, with any Venice nodes spliced in as runner steps. A file
exported from a framed workflow re-reads each step's YAML from the file on import, so an edit made in the file wins.
Proof: .github/workflows/venture.yml imports as three Step nodes and exports back identical.
Co-Authored-By: Claude <noreply@anthropic.com>
Claude-Session: open-workflows-venture-loop
