wide-cam-podcast

The full pipeline for producing a wide-cam AI podcast video — two AI hosts in a locked-off lounge 2-shot, ~60 seconds, 16:9, dialogue-only, native audio.

When to invoke

The user wants any of:

• An AI-hosted short-form ad or VSL with two characters in a podcast-style conversation
• A promotional clip for a brand, course, community, or product
• A UGC explainer with two talking heads
• A talking-head podcast clip in 16:9 for YouTube / X / Reels (16:9 master, derive verticals after)

Required environment variables

Set these in the user's shell or .env before any pipeline step runs.

• WAVESPEEDAPIKEY — required. Used for both image (gpt-image-2) and video (bytedance/seedance-2.0) generation, plus the CDN upload for reference images.
• GEMINIAPIKEY — optional. Only needed if you want 4K starting frames via Nano Banana 2 instead of gpt-image-2's 2K.
• VIDJUTSUAPIKEY (or vidjutsu auth token already saved at ~/.vidjutsu/config.json) — optional. Only needed for the compliance scan and disclaimer burn.

The pipeline (7 steps)

Read each recipe page in order. Every recipe is a self-contained markdown file under recipes/.

1. Define characters → recipes/01-define-characters.md — one JSON per host
2. Generate starting frames (per character) → recipes/02-generate-starting-frames.md — Wavespeed gpt-image-2
3. Define the wide scene → recipes/03-define-scene-wide.md — one JSON describing the 2-shot
4. Define clips (one per dialogue block) → recipes/04-define-clips.md — one JSON per ~15s block
5. Generate clips → recipes/05-generate-clips.md — Wavespeed Seedance 2.0 text-to-video, wide as reference image
6. Concat → recipes/06-concat.md — ffmpeg stream-copy concatenation
7. Compliance scan (optional) → recipes/07-compliance.md — VidJutsu /v1/compliance/video, plus disclaimer burn if needed

Working directory layout

Set up the project's working directory exactly as described in references/folder-structure.md before running any step. Every recipe assumes that layout.

Schema and endpoint references

When you need the exact JSON shape or API contract:

• references/folder-structure.md — canonical project layout
• references/character-spec.md — character JSON schema
• references/scene-spec.md — scene JSON schema (multi-person)
• references/clip-spec.md — Seedance clip JSON schema
• references/wavespeed-gpt-image-2.md — image generation endpoint, params, gotchas
• references/wavespeed-seedance-2.md — video generation endpoint, params, render times
• references/gemini-nano-banana-2.md — alt 4K image generation endpoint
• references/vidjutsu-compliance.md — /v1/compliance/video endpoint and response shape
• references/vidjutsu-disclaimer.md — /v1/disclaimer endpoint for fine-print burn-in
• references/ffmpeg-concat.md — stream-copy concat recipe

Cost and time expectations

• One starting frame: ~30 seconds to ~2 minutes per render at 2K
• One ~15s Seedance clip: ~5–8 minutes per render at 720p; runs in parallel
• Full 4-block ~60s ad, end to end, set up: under 2 hours
• Total stack cost per finished ad: single-digit dollars

Style guardrails baked into every recipe

• 16:9 throughout (vertical or square crops are derived after, not generated separately)
• Native audio in the clip model — do not stitch voiceover on top
• No captions, overlays, music, or third-party logos in the source generation. Burn captions at the very end if needed
• Cast the two hosts with visibly different silhouettes (hair, wardrobe color, pose) so cuts read instantly
• One simple question per dialogue block, asked by Host A; Host B teaches/answers
• Casual, non-technical tone — assume the viewer is a non-builder