docs(short): roadmap de fases 4-6 — audio, material de archivo, short_es
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# Phases 46 — more elaborate Shorts
**Roadmap document.** Phases 13 are live: spec generation with grounding (phase 2),
render via shortsmith, YouTube upload as private with a human publish click (phase 3).
Today shortsmith renders **silent** vector motion graphics from 8 templates
(`radar_sweep`, `track_map`, `data_card`, `scale_bars`, `orbit_track`, `signal_strips`,
`document_quote`, `counter_close`).
- **Repos touched:** mostly `git.chemavx.xyz/chemavx/shortsmith`. researchowl changes are
small and called out explicitly per phase — the live-contract design (`GET /templates`
injected into the prompt at generation time) means new templates and new spec fields
reach the generator with little or no code here.
- **Contract rule for every phase:** additive and optional. An existing valid spec must
stay valid; a pod running old researchowl must keep producing renderable specs. No
breaking field renames, ever.
---
## 0. The gate — data before work
Do not start phase 4 until 34 real Shorts are published and have a week of YouTube
Analytics. The decision is not aesthetic, it is a retention curve:
| Signal in Analytics | Diagnosis | Order |
|---|---|---|
| Viewers swipe in the first 12 s | Silent open kills the hook | Phase 4 first |
| Retention holds, then decays evenly | Format works, ceiling is production value | Phase 5 first |
| Retention fine, views low | Distribution problem, not video problem | Neither — titles/tags/posting time |
Four videos of data beat any amount of a priori taste. The phases below are ordered by
the expected outcome (audio first), but the gate can reorder them.
---
## Phase 4 — sound
The largest single lever. A silent Short is penalised de facto: retention is the
algorithm's primary signal and silence invites the swipe at second one. Three deliverables,
shipped in this order because each is useful without the next.
### 4a. Music bed + transition SFX
- shortsmith: new **optional** top-level spec block:
```json
"audio": { "track": "static_dread", "volume_db": -14 }
```
A small curated set of royalty-free tracks (35, matching the channel's tone) baked
into the shortsmith image as assets. Track names are advertised in the `GET /templates`
response (a new `audio.tracks` key) so the prompt can list them without hardcoding —
same reasoning as the template schemas. ffmpeg mixes at final assembly; a short whoosh
on each shot boundary comes free from the same mix.
- researchowl: **zero code**. The prompt gains one line ("pick a track from: …",
fed from the contract fetch). Old specs without `audio` render silent, as today.
- Determinism holds: same spec, same output.
### 4b. Narration (TTS) + burned-in captions
These two ship together: most Shorts are watched muted, so the captions matter more than
the voice — but both come from the same new field.
- Spec: each shot gains an optional `narration` string. **When present, the shot's
duration is derived from the synthesized audio length plus padding** (clamped to the
template's min/max) — voice-first timing, not text-squeezed-into-a-window. `duration`
stays valid for shots without narration.
- shortsmith: TTS engine local and free — Piper or Kokoro, CPU-realtime, **model version
pinned in the image** so renders stay reproducible. One voice, always the same: the
voice is channel identity, not a per-video choice. Captions burned from the narration
text, word-grouped, styled like the existing typography.
- Fallback (repo convention): if TTS fails, render with music only and report it —
degrade, don't die. The job must not fail because a phoneme did.
- researchowl — two small, real changes:
1. **Grounding must cover `narration`.** It is exactly the field an LLM fills with
confident paraphrase. `grounding.py` extracts from spec props today; add the
narration strings to the extraction. Same deterministic path, no LLM.
2. Prompt: narration guidance (spoken register, ≤ ~25 words per shot, hook in the
first line — the first two seconds decide the swipe).
- Optional later upgrade: ElevenLabs behind an env var (~$0.100.30/Short) if the local
voice grates. Start local; the constraint on volume is review time, not money.
### Phase 4 tests
| Area | Assert |
|---|---|
| Contract | Spec without `audio`/`narration` still validates and renders (today's golden spec passes untouched) |
| Timing | Narrated shot duration == audio length + padding, clamped to template bounds |
| Fallback | TTS failure produces a music-only render plus a warning, not a failed job |
| Grounding (researchowl) | A fabricated figure placed only in `narration` is flagged |
| Determinism | Same spec twice → byte-identical audio track (pinned model) |
---
## Phase 5 — archival assets (the Ken Burns template)
The most differentiating work for this niche: real declassified documents, newspaper
clippings and official photos, panned and zoomed with a highlight box. It is what
separates the channel from generic AI slop — and it extends the grounding philosophy to
imagery, which is why the editorial rule below is load-bearing.
**The rule: only assets that come from the session's own sources.** No stock, no image
search, no "looks right". If the scraper didn't see it, the Short doesn't show it.
- shortsmith:
- New template `archive_pan`: props = asset reference, start/end crop keyframes,
optional highlight rectangle, mandatory `credit` line (rendered small, always).
- New endpoint `POST /assets` — content-addressed upload (sha256 as the id), so specs
reference immutable hashes and re-renders can't silently swap an image.
- researchowl:
- Asset extraction during scraping: `og:image`, inline images above a size floor, PDF
pages rendered to PNG. Stored under `/data/assets/{session_id}/` with **the source
URL persisted per asset** — provenance is the whole point.
- Spec generation: the prompt receives the asset list (id, source URL, dimensions,
nearby text) and may use `archive_pan` shots.
- The claims report grows an assets section: every asset used, with its origin URL, so
the human gate reviews imagery the same way it reviews figures.
- Rights posture: US federal government works (Blue Book, NARA scans, official releases)
are public domain — the bulk of this channel's material. Anything else the human
reviewer judges at the gate that already exists; the credit line renders regardless.
- This is the largest phase. It is two deliverables in truth (asset pipeline; template)
and the pipeline is useful alone — extracted assets improve the *blog* posts too.
### Phase 5 tests
| Area | Assert |
|---|---|
| Assets | Content-addressing: same bytes → same id; spec referencing an unknown hash is rejected at validation with the exact path |
| Provenance | Every stored asset carries a source URL; claims report lists all used assets |
| Template | Keyframe interpolation renders deterministically; missing `credit` fails validation |
| Editorial | A spec referencing an asset from another session is rejected |
---
## Phase 6 — `short_es` for Zona de Exclusión
Nearly free once the format is proven (phase 2 doc, §11, still true): shortsmith draws
whatever strings it gets and does not care about language; with phase 4, TTS needs a
Spanish voice (Piper has good ones — pin it like the English one). The work is the
prompt, the narrative shapes, and the stopword list — all researchowl, all small.
Do it only after the EN format has produced retention worth copying. A bad format in two
languages is twice the bad format.
---
## Explicitly out — generative video
No Veo, no Sora, no Runway. Not primarily for cost: a documentary channel whose premise
is *"the numbers come from primary sources"* cannot mix in fabricated "recreations"
without undermining exactly what the grounding pipeline protects. If ever revisited, it
would need an on-screen RECREATION label and a very good reason. There is no current
reason.
---
## Free work — no phase required
Available any time, zero researchowl changes, because the contract is fetched live:
- **New vector templates** in shortsmith: `timeline`, `before_after`, `map_zoom`. Same
discriminated-union pattern as the existing eight; they appear in the prompt
automatically on the next generation.
- **Narrative tuning** in the prompt: sharper first-shot hook, the
hook → evidence → unresolved question → CTA arc. Costs one commit, no deploy risk
beyond a prompt change.
---
## Implementation order
One change at a time, verified before the next — and phase-gated by the Analytics data
from §0.
1. Publish 34 Shorts with the current pipeline. Read the retention curves.
2. Phase 4a (music). Smallest change, immediate feel upgrade, proves the `audio` contract
extension end to end.
3. Phase 4b (narration + captions), grounding extension in researchowl **first** — build
the check before the thing it checks, same reasoning as phase 2 §12.
4. Free-work templates whenever convenient; they ride along.
5. Phase 5, asset pipeline before template — the pipeline is useful alone.
6. Phase 6 last, and only if the numbers say the format earned a second language.