guts/docs/progress/d-progress.md

Lane D — progress log

2026-07-16 — Round 1: pipeline online, first texture pack, audio proof

Shipped all four round-1 items. $0.00 spent — everything generated locally on the m3ultra box; no fal.ai candidates arose, so FAL_LIST.md still doesn't exist.

1. Scripts ported from PROCITY (--dry-run first, idempotent, resumable): gen_textures.py (flux_local backend, provenance JSON), derive_maps.py (tiling + Sobel normals + WebP), build_manifest.py, validate_manifest.py (qa gate 5, stdlib-only so it runs on any box — hand-parses the WebP header rather than needing PIL), gen_audio.py. Plus shot_sink.py, a small addition of my own: DBG.shot()'s <a download> lands as unnamed half-written temp blobs in this browser pane, and naming evidence by guessing at file sizes isn't evidence — so the page POSTs frames and they land correctly named.

2. First texture pack — 6 walls (2 each: esophagus / stomach / small intestine) + normals

• 1 wet-tissue matcap. 9.0–9.6 s per 1024² image, ~64 s for the pack. 1.7 MB shipped.

• Every raw FLUX image had a hard wrap seam (seam_error 3.7–17.9) despite the prompt asking for "seamless tiling texture". A 4-way cosine partition-of-unity blend of the four half-rolls fixes it exactly (weights sum to 1, are N-periodic, and each copy's seam sits where its own weight is 0) → 0.87–1.32, i.e. the seam is now indistinguishable from interior detail.
• Levels-normalised the pack to a common exposure: FLUX gave each prompt its own brightness (means 0.18–0.32), which under a multiplied biome tint reads as a broken tint, not dark tissue.
• Prompt-kit experiment rejected: adding PROCITY's "uniform coverage / edge to edge" clause to the ART_BIBLE stem cured the centred-subject failures but flattened the whole pack and collapsed three biomes into the same honeycomb. Reverted; framing words now live only in the two subject prompts that needed them. Recorded in gen_textures.py so it isn't re-tried.

3. js/core/assets.js — manifest loader per the TECH contract: null-on-miss, never throws, ?localassets=0 empty boot, depot: resolution, dual-format audio probing. Added a miss ledger after Lane A identified the silent-forever-fallback failure mode: each distinct miss logs once and assets.misses() lists them.

4. Audio proof — bed-esophagus (24.000 s, loop seam 0.32 = inaudible) + 4 sfx (pellet, hit-squelch, boost, pickup). Whole pack renders in 4.2 s. 0.61/10 MB budget, ogg+m4a dual-shipped, verified with ffprobe.

• First spectrogram sheet was a saturated cream rectangle (fixed (db+60)/70 normalisation) — evidence you can't read is not evidence. Rewrote against each clip's own peak over 80 dB with a log frequency axis and Hz gridlines.
• Caught by looking at it: the bed had strong energy to 16 kHz — my lp1 is one-pole (6 dB/oct), so a 900 Hz lowpass left 16 kHz only ~25 dB down. That's hiss, not a wet gut. Added cascaded poles; the bed is now properly muffled below ~1 kHz.

Eyeballed in engine (web/dev/laneD_texview.html, a dev harness that imports the stub world read-only): all 6 walls under their own ART_BIBLE biome tints + the ?localassets=0 fallback → docs/shots/laneD/round1_*.png.

• The find of the round: normal maps were rendering the tube near-black. I'd added the tangent-space sample to the view-space normal, which tilts every normal at the camera and kills the fresnel rim — and the rim is the biome's only real light. Rebuilt the TBN per-pixel from screen derivatives; the rim now traces every fold edge and the walls finally look like the ART_BIBLE's "SEM tissue + artificial rim light". Handed the working code to Lane A in NOTES, since they'd scheduled TBN work for round 2.

QA green. Committed only Lane D paths.

Next round: slug rename to biome ids (with A deleting their map — F to sequence), hero meshes (ENDO-1 + C's three enemies), colon/mouth walls, full audio pack, port normalize.py + glb_stat.py so the house GLB law is actually enforced.