Studio resource / v1

The stack behind the spectacle.

This is not a “best AI tools” ranking. It is a working inventory: what a tool is asked to do, whether we have actually used it, and what problem it solves in the pipeline.

Commercial status: this local draft contains no affiliate links, sponsorships, or paid placements. A recommendation must earn its place through real use and an honest limitations section.

Current production stack

Used / core

Python + ffmpeg

Assembly, audio/video inspection, vertical exports, and repeatable local automation. Boring tools are often the most dependable tools in the room.

Used / creative

AI-assisted image generation

Used to explore cinematic frames and original visual worlds. Outputs can fail on continuity, text, hands, and exact historical detail.

Used / delivery

Text-to-speech experiments

Useful for drafts and placeholder narration. Final pacing still needs human editorial judgment, especially when a joke depends on silence.

How a tool gets reviewed here

  1. It must solve a real problem in one of our existing workflows.
  2. We record the actual use case, not a generic feature list.
  3. We note setup friction, limitations, cost context, and who should skip it.
  4. We distinguish “used,” “tested,” “considering,” and “sponsored.”
  5. We never turn a vendor claim into a studio claim without checking it.

What comes next

Once the production archive is larger, this hub can grow into focused pages such as our vertical export checklist, how we keep a character readable on a phone, and what we changed after a failed generation. Those pages will be more useful than a giant undifferentiated tools list.

See the workflow this stack supports →