Based on a real day; names and selected personal details have been changed or omitted.

/goal Update the Patchex synth patches, effects, modulation, mix, and scoring harness usage until the first five seconds of the canonical song reconstruction reaches best_scores.final >= 0.8. Repository and target: - Work in /Users/example/Documents/Projects/ableton-tracks. - Follow AGENTS.md exactly, including secret handling. - Use th

May 11 · 3:18 PM · User Source JSON

/goal Update the Patchex synth patches, effects, modulation, mix, and scoring harness usage until the first five seconds of the canonical song reconstruction reaches best_scores.final >= 0.8.

Repository and target:

  • Work in /Users/example/Documents/Projects/ableton-tracks.
  • Follow AGENTS.md exactly, including secret handling.
  • Use the canonical song workspace text2fx_gemini/songs/between_the_buttons/.
  • Optimize the first five seconds only: clip_start 0.0, seconds 5.
  • Use the MIDI-locked workflow so the musical arrangement stays fixed and only synth patches, effects, modulation, automation, and mix settings change.
  • The success score is the loss-function accuracy stored as best_scores.final in reconstruction_report.json. Stop only after best_scores.final >= 0.8.
  • Start a brand-new run directory under text2fx_gemini/ui_runs/ with an ID shaped like YYYYMMDD_HHMMSS_goal_first5 so the V1 web UI can open it while it is running.
  • Do not complete the goal by pointing at any older run, even if an older reconstruction_report.json already has best_scores.final >= 0.8.

Run/eval loop:

  1. Start by reading AGENTS.md, text2fx_gemini/README.md, scripts/summarize_run.py, scripts/inspect_run.py, and the run loop in text2fx_gemini/midi_locked_patch.py.
  2. Run a fresh baseline reconstruction/eval for the first five seconds in the new run directory.
  3. After every run or iteration, inspect the full run harness bundle with scripts/inspect_run.py <run_id> or the run directory, not just the UI shell.
  4. Read reconstruction_report.json, patch_report_step_*.json, history_item_step_*.json, critic_brief_step_*.md, patch_ops_step_*.json, and the rendered WAV artifacts that explain the current score.
  5. Identify the largest bottleneck from the score components, weakest tracks, sustain/envelope diagnostics, global mix diagnostics, and artifacts.
  6. Make one focused change per iteration. Prefer changes that the existing patch operation system can apply and score cleanly: synth source, envelope, filter movement, gain automation, modulation, effects, stereo, saturation, EQ, returns, or master settings.
  7. Re-run the reconstruction/scoring loop for the first five seconds.
  8. Append or update a running log in the active run directory recording:
    • current best score
    • latest candidate score
    • accepted/rejected result
    • what changed
    • what improved or regressed
    • next planned bottleneck
  9. Continue until best_scores.final >= 0.8.

Commands and constraints:

  • Use ~/.codex/scripts/ask-secret.sh for any missing secret; never ask the user to paste secrets.
  • If GEMINI_API_KEY is needed, load it from ~/.codex/secrets.env using the existing project convention.
  • Do not change MIDI notes, note timing, velocities, track ordering, or composition structure.
  • Preserve the fixed first-five-second arrangement.
  • Do not stop just because a fixed --steps run completes below 0.8. Start another focused iteration or modify the local harness to support a target-score loop if that is the most reliable path.
  • If you modify repository files, run relevant tests/checks, then commit and push.

Suggested starting command if you need a fresh run:

set -a; source ~/.codex/secrets.env; set +a python text2fx_gemini/midi_locked_patch.py run
--midi text2fx_gemini/songs/between_the_buttons/source.mid
--role-map text2fx_gemini/songs/between_the_buttons/song.json
--reference text2fx_gemini/songs/between_the_buttons/source.mp3
--output-dir text2fx_gemini/ui_runs/$(date +%Y%m%d_%H%M%S)_goal_first5
--clip-start 0
--seconds 5
--steps 5

Use scripts/summarize_run.py and scripts/inspect_run.py on the resulting run directory before deciding the next change.

May 11 · 3:18 PM · Assistant Source JSON

I’ll start by reading the required project docs and run-loop code, then I’ll create a fresh *_goal_first5 run and inspect its harness artifacts before making any changes.

May 11 · 3:19 PM · Assistant Source JSON

The docs confirm this is the MIDI-locked path and the report is the source of truth. I’m narrowing in on the patch operation loop and artifact names now so the baseline run can be inspected the same way the UI would inspect it.

May 11 · 3:19 PM · Assistant Source JSON

GEMINI_API_KEY is not present in ~/.codex/secrets.env, so I’m invoking the repository-approved hidden-input helper. The value will be stored locally with restricted permissions and won’t be printed.

May 11 · 3:19 PM · Assistant Source JSON

The hidden-input prompt was canceled, so I’ll proceed with the local MIDI-locked harness path and avoid any command that requires a missing Gemini secret unless the run proves it is needed.

May 11 · 3:19 PM · Assistant Source JSON

The fresh run is 20260511_151936_goal_first5. It has started writing the V1 UI-compatible run directory under text2fx_gemini/ui_runs/; I’m waiting for the baseline and first scoring artifacts to land.

May 11 · 3:20 PM · Assistant Source JSON

The baseline scored low enough that the harness is asking its Critic/Producer agents for patch edits. I’m letting this initial 5-step run finish, then I’ll inspect the full bundle and decide whether to continue with harness-driven operations or a local target-score loop.

May 11 · 3:22 PM · Assistant Source JSON

Step 0 produced a clear bottleneck: the render is far below target level after the initial attack, nearly mono, and missing the reference’s ~3.8 Hz motion. The harness producer is now applying a focused patch pass around sustain, width, and modulation.