create-product-hypermotion-with-specs

name	create-product-hypermotion-with-specs
description	Produce a Product Hypermotion + Kinetic Typography intercut ad (Common Thread Co "Product Specs" format × Higgsfield "Hyper Motion" treatment). Single Seedance i2v hypermotion clip cut into 5-6 segments, intercut with 5-7 PIL-rendered kinetic typography text cards (specs/CTA), capped by a brand-asset end card (real logo PNG + slam motion blur + inversion flash). 20-30s, 9:16 vertical, music-led, no VO. Validated on Soundboks GOOSE-1783 (10 iterations, V10 shipped 2026-05-28, $17.43 total spend, $4.99 marginal). Use when brand has industrial/sport/party voice + hero product + 4-6 hard spec callouts. NOT for UGC, talking-head, or VO-led ads.
status	ACTIVE — validated on 1 brand (Soundboks 2026-05-28). Promote to 2+ brands before locking decision rules.

create-product-hypermotion-with-specs

Hypermotion + Kinetic Typography intercut = one virtuoso AI-gen product clip, diced into segments and interleaved with PIL-rendered text cards for spec callouts, ending with a brand-asset end card. Music-led, silent VO, 9:16 Reels-native. Validated on Soundboks (industrial/party voice) 2026-05-28.

Purpose

Produce a 20-30s 9:16 vertical product ad by:

1. Gathering brand assets (real product photos + brand logo PNG + brand color palette)
2. Generating ONE 12-15s hypermotion i2v via Seedance 2.0 using a 5-block prompt recipe
3. Rendering 5-7 kinetic typography text cards via PIL (italic skew, outline echo, 3D extrusion, slam-with-shake, inversion flash) for spec callouts + CTA
4. Rendering 1 brand-asset end card via PIL (real logo PNG + brand-coded BG + slam motion blur + cascade reveal of subtitle + CTA + inversion flash)
5. Cutting the hypermotion into 5-6 segments, intercutting with text cards in a fixed beat structure, ffmpeg concat + crop to 9:16
6. Generating a 124 BPM bass-driven music bed via ElevenLabs Music (fal proxy)
7. Mux + self-QC + ship

Use when:

• Brand voice is industrial / sport / party / utility (Soundboks-class)
• Hero product photographs well (real PDP shots available, not AI-gen ex-nihilo)
• Brand has 4-6 hard spec callouts (dB, hours, IP rating, count, etc.)
• Brand has a logo SVG/PNG that can be extracted (most brand SVGs are base64 PNG wrappers)
• Target placement: TikTok / Reels / Stories (9:16 vertical) — works muted

Do NOT use for:

• UGC ads with creator → use skills/molecules/ugc-ad/*
• VO-driven explainer → use skills/molecules/explainer-video/*
• Editorial / luxury / wellness brand voices → use create-vignette-ad (calmer)
• Single static product hero → use skills/atoms/product-images/*

• 30s long-form — format breaks past 30s (the hypermotion clip is the ceiling)

Inputs

Required:

• brand_url — e.g. https://soundboks.com
• product_url — PDP URL for the hero product (Shopify or equivalent)
• spec_callouts[] — 4-6 short spec strings (e.g. ["126 dB SPL", "40-HOUR BATTERY", "IP65 RATED", "SWAPPABLE BATTERY", "PAIR 5 SPEAKERS"])
• brand_voice — one of industrial | sport | party | utility | luxury | editorial | playful
  • The first 4 share the same aesthetic palette (black + Space Grotesk + utility orange)
  • editorial uses cream paper + EB Garamond (Hope-style) — better suited for create-vignette-ad
  • luxury and playful need different palettes — currently OUT OF SCOPE (single-brand validation)

Optional (with autonomous defaults):

• duration_s — default 25.0 (range 20-30)
• cta_text — default "Own the party." or "Own the {category}."
• intro_text — default "INTRODUCING"
• hypermotion_brief — free-text. If omitted, derived from brand category + product (Soundboks → "beach festival crash-zoom on speaker, lateral orbit, slow-mo dust"). See references/hypermotion-prompt-recipe.md.
• music_brief — default "{BPM} BPM bass-driven electronic banger, no vocals or with a single rallying lyric for end-card sync". BPM default 124 for industrial/party, 100 for sport/utility.
• accent_color_hex — default #FF6B1A (utility orange). Override via brand palette scrape.
• bg_color_hex — default #0C0C0C (industrial black). Override only if brand requires.

Prerequisites:

• FAL_API_KEY in .env at repo root — for Seedance + ElevenLabs Music
• ffmpeg + ffprobe installed
• Python 3.10+ with Pillow and fal_client
• TTF fonts in project source/fonts/:
  • SpaceGrotesk-Bold.ttf (static, NOT variable — variable renders as Regular in PIL)
  • EBGaramond-Italic.ttf (only required for editorial voice)
• Brand logo as PNG (extract from SVG via base64 decode — see references/brand-asset-extraction.md)

Composed Atoms

• source-brand-assets — scrape PDP product photo, brand logo SVG, brand color hex from homepage CSS
• remove-backgrounds — strip product PNG to alpha via fal-ai/birefnet/v2 (only needed if hypermotion uses cutout-on-clean-BG style; for in-environment hypermotion, skip — Seedance handles the BG)
• create-video-seedance-2-fal — single 12-15s i2v hypermotion call via fal-ai/bytedance/seedance/v2/pro/image-to-video ($0.30/s, supports start_image + audio_off)
• create-music-elevenlabs — 25-30s music bed via fal-ai/elevenlabs/music endpoint
• add-music-track — ffmpeg mux pass with -map 0:v -map 1:a explicit
• stitch-videos-ffmpeg — concat the 12-14 segments (hypermotion cuts + kinetic cards)
• Inline (not yet an atom — see "Back-propagation to atom"): PIL-based kinetic typography pipeline (11 techniques, see references/kinetic-typography-pipeline.md). The existing skills/atoms/motion-graphics/create-kinetic-typography atom outputs transparent overlays (qtrle .mov); this molecule needs full-frame text cards.
• watch — /watch:watch external skill for end-to-end QC on the final mp4

Do NOT use: Klap, captions, Whisper, Soul ID, UGC-creator atoms, Higgsfield Marketing Studio (validated to not match Hyper Motion brief — Seedance 2.0 beats it for product-as-hero hypermotion).

Workflow

Phase 0 — Brand asset gathering (autonomous, $0)

1. Scrape product hero photo from brand PDP:

   curl -sL "${product_url}.json" | jq -r '.product.images[0].src'
   

   Download highest-res (PDP shots typically 1500-2000px). Save to source/scraped-product-images/.

2. Extract brand logo PNG from SVG. Most brand SVGs are wrappers around base64-encoded PNGs:

   import re, base64
   svg = open('brand_logo.svg').read()
   m = re.search(r'data:img/png;base64,([A-Za-z0-9+/=]+)', svg) or \
       re.search(r'data:image/png;base64,([A-Za-z0-9+/=]+)', svg)
   open('brand_logo.png', 'wb').write(base64.b64decode(m.group(1)))
   

   Validated on Soundboks (decoded to 865×135 PNG of the actual wordmark). If SVG is pure vector (rare), use rsvg-convert -w 2400 brand_logo.svg > brand_logo.png.

3. Scrape brand palette from homepage CSS — count #xxxxxx patterns, take top 5 frequencies. Map dominant accent color → accent_color_hex.

4. Download fonts to source/fonts/:

   curl -sSL -o source/fonts/SpaceGrotesk-Bold.ttf \
     "https://raw.githubusercontent.com/floriankarsten/space-grotesk/master/fonts/ttf/static/SpaceGrotesk-Bold.ttf"
   

5. Write brief.md with: PDP photo preview, brand palette swatches, proposed hypermotion concept + Seedance prompt + spec callouts + estimated spend (~$5).

🚦 HUMAN GATE 1 — Brief approval

Show user: brief.md + hypermotion prompt + 5-7 spec callouts + estimated spend.

User approves OR edits brief.md.

Phase 1 — Hypermotion + music in parallel (~$4.99, ~10 min wallclock)

Run both in parallel via ThreadPoolExecutor or two Bash processes:

1. Fire Seedance i2v hypermotion ($4.54 for 15s):

   • Endpoint: fal-ai/bytedance/seedance/v2/pro/image-to-video
   • Input: hero product PNG as image_url (uploaded via fal_client.upload_file)
   • Duration: 15s (max for Seedance Pro)
   • Generate audio: false (we use external music bed)
   • Resolution: 1080p, aspect 1:1 (will be center-cropped to 9:16 later)
   • Prompt: 5-block recipe (see references/hypermotion-prompt-recipe.md):
     • Block 1: STYLE ANCHOR ("hypermotion product film, 124 BPM cuts, ...")
     • Block 2: CINEMATOGRAPHY ("ARRI Alexa, 50mm anamorphic, ...")
     • Block 3: SUBJECT + ENVIRONMENT ("Soundboks 4 on beach festival deck, ...")
     • Block 4: MULTI-SHOT TIMECODES ("0-3s crash zoom, 3-6s lateral orbit, ...")
     • Block 5: ABSOLUTE CONSTRAINTS ("no character contact, no multi-product, no text overlays, label-locked geometry, physics effects in environment only NOT on product")
   • Skip-if-exists guard: if assets/hypermotion-raw.mp4 exists, skip the call

2. Fire ElevenLabs Music ($0.45 for 30s):

   • Endpoint: fal-ai/elevenlabs/music
   • Duration: duration_s * 1000 ms (generate exact target — Soundboks 25s validated)
   • Prompt: {BPM} BPM bass-driven {brand_voice} banger, with rallying single-lyric ending for end-card sync
   • output_format: "mp3_44100_192"
   • Skip-if-exists guard

Phase 2 — Render kinetic typography cards (autonomous, $0)

Render all text clips at 1080×1920 via PIL frame-by-frame to working/kinetic-frames/<label>/f%04d.png, then ffmpeg-encode each to working/kinetic-movs/<label>.mp4.

Cards to render (defaults — adjust per spec_callouts list):

• intro.mp4 (1.0s) — "INTRODUCING" italic + outline echo, BG: brand bg + grain
• spec_1.mp4 (1.5s) — Killer-stat slam: 3D extrusion in accent color (the hero spec, e.g. "126 dB SPL")
• spec_2.mp4 (1.5s) — italic slam on dark BG (e.g. "40-HOUR BATTERY")
• spec_3.mp4 (1.5s) — italic + outline echo on light BG (e.g. "SWAPPABLE BATTERY")
• spec_4.mp4 (1.5s) — italic + sparkle accent (e.g. "IP65 RATED")
• spec_5.mp4 (1.5s) — italic + shadow stack (e.g. "PAIR 5 SPEAKERS")
• cta.mp4 (1.5s) — "OWN THE PARTY" 3D extrusion + accent→black flash
• endcard.mp4 (3.5s) — REAL LOGO with slam motion blur, settle, micro-motion, inversion flash at 60% mark, cascade reveal of subtitle ("126 dB · 40 HRS · IP65") + CTA

Use the 11 reusable PIL helpers from references/kinetic-typography-pipeline.md (italic skew, outline echo, 3D extrusion, repetition stack, slam-with-shake, color flash, inversion flash, paper/dark grain BG, rotated text, motion blur, micro-motion).

Reference scripts from Soundboks (copy + adapt):

• clients/soundboks/video-02-hypermotion/working/scripts/gen_kinetic_v6.py
• clients/soundboks/video-02-hypermotion/working/scripts/gen_endcard_v10.py

Phase 3 — Assemble + mux (autonomous, $0)

1. Center-crop hypermotion from 1:1 (1440×1440 or 1080×1080) to 9:16 (1080×1920):

   ffmpeg -i hypermotion-raw.mp4 -vf "scale=-1:1920,crop=1080:1920:(iw-1080)/2:0,fps=30" -c:v libx264 -crf 18 hypermotion-9x16.mp4
   

   Loses ~25% horizontal context but feels Reels-native.

2. Cut hypermotion into 5-6 segments at fixed timecodes via ffmpeg -ss/-t: Default segments (for 25s ad with 15s hypermotion source):

   • Seg A: t=[0.0, 2.5] (2.5s — opener crash-zoom)
   • Seg B: t=[2.5, 5.0] (2.5s — lateral orbit)
   • Seg C: t=[5.0, 7.0] (2.0s — first slow-mo dust)
   • Seg D: t=[7.0, 8.5] (1.5s — second slow-mo dust)
   • Seg E: t=[8.5, 10.0] (1.5s — pull-back)
   • Seg F: t=[10.0, 11.5] (1.5s — final hero)

3. Concat segments + cards per beat structure (see references/beat-structure.md):

   intro → segA → spec_1 → segB → spec_2 → segC → spec_3 → segD → spec_4 → segE → spec_5 → segF → cta → endcard
   

   Use ffmpeg concat demuxer with a concat.txt listing all segment files in order.

4. Mux music as SEPARATE ffmpeg pass per memory feedback_ffmpeg_lcut_endcard_recipe.md:

   ffmpeg -y -i master-silent.mp4 -i music.mp3 \
     -c:v copy -c:a aac -b:a 192k -ar 44100 \
     -map 0:v -map 1:a -shortest \
     -movflags +faststart finals/master-v1-9x16.mp4
   

   Verify audio bit_rate ≈ 192000 via ffprobe (NOT 1000 — that's the default-mapping silent bug per feedback_ffmpeg_map_directive.md).

Phase 4 — Self-QC + ship (autonomous, $0)

1. Run /watch:watch finals/master-v1-9x16.mp4 to verify:

   • Duration ± 0.5s of target
   • Aspect 1080×1920
   • All text cards readable, no frame bleed (outline echoes at 1.08x sweet spot)
   • Hypermotion segments hold subject identity (no geometry drift)
   • End card real logo visible + inversion flash hits at right beat
   • Music holds throughout, no decay tail visible

2. Upload to gooseworks for share URL via mcp__gooseworks__get_upload_url + curl PUT.

Output

<project>/
├── brief.md
├── HOW_TO_MAKE_THIS_VIDEO.md
├── source/
│   ├── scraped-product-images/        # raw PDP PNGs
│   ├── logo/
│   │   ├── brand_logo.svg              # original
│   │   └── brand_logo_white.png        # extracted from SVG
│   ├── fonts/
│   │   ├── SpaceGrotesk-Bold.ttf       # static (NOT variable)
│   │   └── EBGaramond-Italic.ttf       # only if editorial voice
│   └── brand-palette.json              # scraped color hex
├── assets/
│   ├── hypermotion-raw.mp4             # Seedance i2v output (12-15s, 1:1)
│   ├── hypermotion-9x16.mp4            # center-cropped to vertical
│   └── music/
│       └── music_bed.mp3               # 20-30s ElevenLabs Music
├── working/
│   ├── kinetic-frames/                 # PIL PNG sequences (intermediate)
│   ├── kinetic-movs/                   # encoded kinetic clips
│   ├── segments/                       # hypermotion cuts
│   └── scripts/
│       ├── fire_hypermotion.py
│       ├── fire_music.py
│       ├── gen_kinetic_cards.py
│       ├── gen_endcard.py
│       └── assemble.py
└── finals/
    └── master-v1-9x16.mp4              # shipping master, ~25s, 1080×1920

Decision Rules

1. One hypermotion call, not many. Generate ONE 12-15s clip and CUT into 5-6 segments via ffmpeg, rather than firing 5-6 separate Seedance calls. Cheaper ($4.54 vs $22) AND maintains visual consistency across segments (same camera/grade/subject — what Seedance does well in one call).

2. Center-crop, don't regen for 9:16. Generate Seedance at 1:1 and center-crop to 9:16 in post. Generating natively 9:16 in Seedance is more expensive and quality-equivalent. ~25% horizontal context loss is acceptable for the product-centric framing.

3. Real brand logo > typeset wordmark on end card. Always use the actual brand SVG/PNG, not typeset text. Per memory feedback_brand_asset_end_card.md — typeset wordmarks miss distinctive letterforms (Soundboks has custom italic-slanted glyphs that Space Grotesk Bold can't approximate). See also LEARNINGS.md #138.

4. Brand voice drives aesthetic palette. Don't apply Hope-style cream paper + EB Garamond italic to industrial/sport/party brands. Soundboks-class = black BG + Space Grotesk Bold + utility orange accent. Editorial/literary brands belong in create-vignette-ad, not here. Per LEARNINGS.md #139.

5. Outline echo at 1.08x is the bleed-safe sweet spot. Larger (1.2x+) reads as accidental clipping; smaller defeats the ambient-shadow purpose. Validated on Soundboks V8→V9 bleed audit. Per LEARNINGS.md #140.

6. Never freeze after settle on the wordmark. Continuous ±1% scale pulse + ±3px horizontal drift for the entire 3.5s end card hold. 3+ seconds of frozen text feels like a JPEG. Per LEARNINGS.md #141.

7. Hypermotion prompt must include ABSOLUTE CONSTRAINTS block. Without it, Seedance lets geometry drift mid-clip (V2 broke to cowbell shape). Block must include: "no character contact, no multi-product, label-locked geometry, physics effects (heat-shimmer, dust) in environment only NOT on product." Per memory feedback_hypermotion_prompt_recipe.md.

8. ffmpeg mux: ALWAYS explicit -map 0:v -map 1:a + SEPARATE pass from concat. Default mapping silently produces 1 kbps garbage audio. Per memory feedback_ffmpeg_map_directive.md + feedback_ffmpeg_lcut_endcard_recipe.md.

9. Use STATIC font TTFs, never variable. PIL doesn't respect variable font axes — SpaceGrotesk[wght].ttf renders as Regular weight regardless of the weight axis. Always download single-weight static TTFs (/static/ subfolder on most font repos).

Quality Checks

Before declaring done, verify the final mp4:

• Duration within target ± 0.5s (e.g. 25.0s ± 0.5s)
• Aspect 1080×1920 (9:16 vertical)
• All N text cards readable, no accidental frame bleed (outline echoes ≤1.08x)
• Hypermotion segments hold subject identity (label/logo on product stays consistent across cuts)
• End card real logo visible + sharp (no PIL upscale artifact)
• Inversion flash at end card hits at correct beat (~60% of card duration)
• Continuous micro-motion visible on end card wordmark (NOT frozen)
• Music holds throughout, no decay tail in last 5s
• Music aligns to cuts on the strongest beats (intro slam, mid-bridge, end-card flash)
• Audio bit_rate ≈ 192kbps AAC (verify via ffprobe -show_entries stream=bit_rate)
• No people, no hands, no text overlays inside the hypermotion clip itself
• Final mp4 plays cleanly in QuickTime + browser

Failure Modes

Failure	Cause	Recovery
Hypermotion geometry drifts mid-clip (product morphs shape)	Prompt lacks ABSOLUTE CONSTRAINTS block	Add the 5th block per references/hypermotion-prompt-recipe.md. Regen ($4.54).
Hypermotion shows character touching product	"Character" entered prompt at all	Strip all human/hand references from prompt. Add "no character contact" to constraints.
Text cards bleed off frame	Outline echo scale > 1.08x	Tighten echo to 1.08x. Re-render PIL (free).
Fonts render as Regular weight despite Bold being specified	Downloaded variable font TTF	Replace with static TTF from /static/ subfolder of font repo
End card wordmark looks generic/wrong	Used typeset font instead of real logo	Extract real logo PNG from brand SVG via base64 decode. Re-render.
End card feels frozen after 1s	No micro-motion phase added	Add scale = 1.0 + 0.010*sin(t*1.4); x_off = 3*sin(t*1.1) after settle phase
Final mp4 audio is 1 kbps	ffmpeg mux without explicit map	Add -map 0:v -map 1:a per memory feedback_ffmpeg_map_directive.md
Music tapers in 2nd half	Known ElevenLabs Music behavior	Generate 20% longer than target + trim. OR loop-and-flatten with acrossfade + acompressor + loudnorm per feedback_elevenlabs_music_decay.md
9:16 crop loses critical product detail	Hypermotion framed product at horizontal edges	Re-generate Seedance with explicit "subject centered, vertical-safe composition" in prompt
gen_kinetic_cards.py script fails on font load	Wrong font path or font not downloaded	Verify source/fonts/SpaceGrotesk-Bold.ttf exists; re-download from raw.githubusercontent.com/floriankarsten/space-grotesk/master/fonts/ttf/static/
Brand logo SVG isn't a base64 PNG wrapper	Pure vector SVG (rare)	Use rsvg-convert -w 2400 logo.svg > logo.png instead
Hypermotion clip is silent but final has music too quiet	Music loudnorm not applied	Add acompressor=threshold=-12dB:ratio=2:attack=20:release=200,loudnorm=I=-14:TP=-1.5:LRA=9 to music before mux

Spend Reference (validated on Soundboks V10, 2026-05-28)

Item	Count	Per-unit	Subtotal
Seedance 2.0 i2v 15s (1080p, audio off)	1	$4.54	$4.54
ElevenLabs Music 25s	1	$0.45	$0.45
Brand logo PNG extraction (base64 decode)	1	$0.00	$0.00
PIL kinetic typography rendering (8 clips)	8	$0.00	$0.00
ffmpeg concat + mux + crop	1	$0.00	$0.00
V1 marginal cost (no iteration)			~$4.99

For full multi-iteration runs (Soundboks did V1→V10): ~$17.43 total. V10 alone is $5 to reproduce. Most "iteration cost" is PIL re-renders + ffmpeg = $0.

Sub-Archetypes (none yet)

This molecule has 1 validated sub-archetype: the Soundboks pattern (industrial voice, single-product hero, 5-7 spec callouts, brand-asset end card).

Future sub-archetypes pending multi-brand validation:

• PH-LUXURY — luxury brand voice (gold + monochrome typography, slower BPM, longer holds)
• PH-SPORT — sport/fitness voice (high-saturation accent, faster BPM ~140, athletic motion verbs)
• PH-PLAYFUL — pop/retail voice (bright color blocks, bold display sans, exaggerated 3D extrusion)

Until validated on N=2+ brands per sub-archetype, treat them as open questions, not Decision Rules.

Tests

See tests/:

• smoke-test.md — structural pass (all required files exist, frontmatter valid)
• sample-input.md — Soundboks worked example
• expected-output.md — what successful output looks like
• human-test.md — manual acceptance criteria
• verifier.md — ffmpeg + ffprobe assertions

Related

Originally validated in content-goose at clients/soundboks/video-02-hypermotion/. Adapt paths to your project.

• Reference project: clients/soundboks/video-02-hypermotion/ — full worked example with HOW_TO_MAKE_THIS_VIDEO.md (V1→V10 iteration history)
• Reference scripts:
  • clients/soundboks/video-02-hypermotion/working/scripts/gen_kinetic_v6.py — 8 spec/filler cards
  • clients/soundboks/video-02-hypermotion/working/scripts/gen_endcard_v10.py — brand-asset end card
  • clients/soundboks/video-02-hypermotion/working/scripts/assemble_v10.py — concat + mux template
• Related molecules:
  • skills/molecules/ad-format/create-vignette-ad — for editorial/luxury brand voices
  • skills/molecules/ad-format/create-value-prop-ad — for VO-led value prop ads
  • skills/molecules/product-video/create-product-stopmotion-video — for tabletop stop-motion
  • skills/molecules/ugc-ad/* — for UGC creator ads
• Memory rules to read before running:
  • reference_kinetic_typography_pipeline.md — full PIL pipeline reference (11 techniques + code)
  • feedback_brand_asset_end_card.md — real logo > typeset
  • feedback_hypermotion_prompt_recipe.md — 5-block Seedance prompt template
  • feedback_ffmpeg_map_directive.md — -map 0:v -map 1:a always
  • feedback_ffmpeg_lcut_endcard_recipe.md — separate concat + mux passes
  • feedback_music_with_vocals_default.md — vocals OK for product ads
  • feedback_elevenlabs_music_decay.md — generate longer + trim
• LEARNINGS.md rules: #137 (PIL kinetic typography supersets atom), #138 (real brand assets on end cards), #139 (brand aesthetic per voice register), #140 (outline echo 1.08x sweet spot), #141 (never freeze after settle).

Back-propagation to skill atom (future work)

The existing skills/atoms/motion-graphics/create-kinetic-typography atom exposes 5 animation_type options. This molecule's PIL pipeline adds 6 more: italic skew, outline echo, 3D extrusion, repetition stack, mask wipe, letterbox slide, color flash, inversion flash. Worth extracting these into the atom as new animation_type options once a 2nd brand validates the pipeline.

Open Questions (not yet Decision Rules)

These need N=2+ project validations before promoting:

• Optimal segment count per hypermotion clip. Soundboks used 6 segments from a 15s clip. Would 4 (longer holds) or 8 (faster cuts) be better defaults?
• Spec callout count. Soundboks used 5 hard specs + 1 intro + 1 CTA + 1 endcard. Is 5 specs the right ceiling? Below 3 may feel sparse; above 6 may feel like a deck.
• Music BPM auto-selection per brand voice. Soundboks 124 BPM worked. Does sport/luxury need different BPM tables?
• 9:16 vs 1:1 vs 16:9 portability. Soundboks validated 9:16. Does this molecule produce equally-good 1:1 (Instagram feed) and 16:9 (YouTube) variants with just a different center-crop?
• Cost of iteration. Soundboks went V1→V10 ($17.43 total). What does the 60th-percentile brand spend look like for a "first ship"?