# AI use cases for Open Montage (calesthio/OpenMontage)

Repo: [calesthio/OpenMontage](https://github.com/calesthio/OpenMontage) | Use cases: 5 | Page: https://dedupedai.com/use-cases/calesthio-openmontage/

OpenMontage is an open-source system that lets an AI coding assistant plan, generate, edit, and render videos from plain-language requests through 12 production pipelines.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Build a real-footage documentary montage for free: https://dedupedai.com/use-cases/calesthio-openmontage/build-real-footage-documentary-montage/
- Turn a reference Short into a grounded production plan: https://dedupedai.com/use-cases/calesthio-openmontage/plan-video-from-reference-short/
- Make an animated explainer with no paid API keys: https://dedupedai.com/use-cases/calesthio-openmontage/make-zero-key-animated-explainer/
- Approve scenes on a live storyboard before rendering: https://dedupedai.com/use-cases/calesthio-openmontage/approve-visuals-with-backlot-storyboard/
- Add paid video providers to expand generation options: https://dedupedai.com/use-cases/calesthio-openmontage/connect-paid-video-providers/

## How to build a real-footage documentary montage for free with Open Montage

Repo: [calesthio/OpenMontage](https://github.com/calesthio/OpenMontage) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README

Have an agent assemble a real-footage montage from free archives and stock with music and no narration.

**Who it is for:** A filmmaker or content creator who needs a moody B-roll piece and wants to avoid stock licensing fees.

**The problem:** Finding free, usable motion footage and cutting it into a finished piece takes hours of manual searching and editing.

**The outcome:** A rendered 75-second montage built from free open archives and stock footage, with music and the requested tone.

### Steps

1. Install prerequisites: Python 3.10+, FFmpeg, and Node.js 18+.
2. `make setup`
3. Open the Open Montage folder in your AI coding assistant.
4. Send the request: "Make a 75-second documentary montage about city life in the rain. Use real footage only, no narration, elegiac tone, with music."
5. Review the approval points the agent raises before the final render.

### Prompt to paste into your agent

```text
Use the OpenMontage repo at <repo-path> to make a 75-second real-footage montage about <topic> with no narration and an elegiac tone. Read AGENT_GUIDE.md, pick the matching pipeline, and render an MP4. Verify the output with ffprobe that it is about 75 seconds long and has an audio track.
```

### Caveat

The README does not state how much free footage matches a given topic, so the agent may need to adjust the subject or length.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/calesthio-openmontage/build-real-footage-documentary-montage/

## How to turn a reference Short into a grounded production plan with Open Montage

Repo: [calesthio/OpenMontage](https://github.com/calesthio/OpenMontage) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Paste a Short you like and get concepts, a tool path, and a cost estimate before generation starts.

**Who it is for:** A social media creator who wants to copy the pacing and structure of a viral clip for a new topic.

**The problem:** Recreating a viral video style from a blank prompt usually produces guesswork about pacing, cost, and feasibility.

**The outcome:** Two or three concepts that state what is kept from the reference, what changes, the cost at the target length, and a sample to review.

### Steps

1. Complete setup with `make setup`.
2. Open the project in your AI coding assistant.
3. Paste a YouTube video, Short, Reel, TikTok, or local clip link or file path.
4. Ask for a version about your topic, for example: "Here's a YouTube Short I love. Make me something like this, but about quantum computing."
5. Choose one concept, then approve the sample before full production.

### Prompt to paste into your agent

```text
In the OpenMontage repo at <repo-path>, analyze the reference video <video-url-or-path> and produce 2-3 concepts about <topic>, each with a cost estimate at 60 seconds. Verify that each concept lists the tools available in the current environment.
```

### Caveat

The plan only reflects tools you have configured, so a richer tool path requires adding API keys to .env.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/calesthio-openmontage/plan-video-from-reference-short/

## How to make an animated explainer with no paid API keys with Open Montage

Repo: [calesthio/OpenMontage](https://github.com/calesthio/OpenMontage) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README

Generate a narrated animated explainer using free Piper narration and Remotion composition.

**Who it is for:** A teacher or developer who wants a short explainer video and has no budget for paid AI services.

**The problem:** Most AI video tools need paid accounts before a first video can be made, which blocks quick experiments.

**The outcome:** A rendered 60-second animated explainer with offline narration, built from the free tools in the default setup.

### Steps

1. Install prerequisites and run `make setup`.
2. Leave the .env keys empty, since every key is optional.
3. Open the project in your AI coding assistant.
4. Send the request: "Make a 60-second animated explainer about how neural networks learn".
5. Watch the render and check that the narration and subtitles are correct.

### Prompt to paste into your agent

```text
In the OpenMontage repo at <repo-path>, produce a 60-second animated explainer about <topic> using only free tools such as Piper TTS and Remotion. Save the final MP4 and verify with ffprobe that the duration is about 60 seconds.
```

### Caveat

The README describes Piper as free offline narration, but the visual quality of zero-key output depends on the free stock and Remotion scenes the agent can build.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/calesthio-openmontage/make-zero-key-animated-explainer/

## How to approve scenes on a live storyboard before rendering with Open Montage

Repo: [calesthio/OpenMontage](https://github.com/calesthio/OpenMontage) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Review takes, prompts, cost, and quality scores in Backlot before the final render starts.

**Who it is for:** A producer who needs to check every scene and spend before paying for a full render.

**The problem:** Finding a bad visual or an overspend only after rendering wastes money and time.

**The outcome:** Scene-by-scene approval on a contact sheet, with each provider decision and dollar spent visible before the render.

### Steps

1. Start a production through your AI coding assistant.
2. Run `python -m backlot open` to see the library of projects.
3. Run `python -m backlot open` with your project name to open its live board.
4. Review the contact sheet of takes, prompts, per-asset cost, and quality scores.
5. Reply in chat to approve or request changes before the render.

### Prompt to paste into your agent

```text
In the OpenMontage repo at <repo-path>, start a production for <topic] and open its Backlot board. Stop at the asset approval gate and report the per-asset costs. Verify that no final render has started until approval is given.
```

### Caveat

The approval gate applies to asset generation, so the board only shows costs for providers you have configured.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/calesthio-openmontage/approve-visuals-with-backlot-storyboard/

## How to add paid video providers to expand generation options with Open Montage

Repo: [calesthio/OpenMontage](https://github.com/calesthio/OpenMontage) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Add API keys to .env so the agent can use hosted image and video models for higher-end scenes.

**Who it is for:** A studio or creator who needs generated motion clips beyond free stock and has accounts with a provider.

**The problem:** Free footage cannot always show a specific scene, and provider access is needed to generate those clips.

**The outcome:** A configured .env with the chosen provider keys, and a confirmed tool list the agent can use.

### Steps

1. Run `make setup` if you have not already.
2. Open `.env` and add the key for the provider you have, such as `FAL_KEY=your-key`.
3. Run `python -c "from tools.tool_registry import registry; import json; registry.discover(); print(json.dumps(registry.provider_menu(), indent=2))"` to see the available providers.
4. Send a generation request to your AI coding assistant that names the scene you need.
5. Check the per-asset cost in the approval step before generation continues.

### Prompt to paste into your agent

```text
In the OpenMontage repo at <repo-path>, add the provider key for <provider> to .env, then list the provider menu with the registry. Confirm that the provider appears and report the cost per clip before generating anything.
```

### Caveat

The README lists many providers, but each one needs its own account and billing, and the README does not state their current prices.

Risk, credentials: Provider keys in .env grant paid access to your accounts, so keep the file out of version control and rotate keys if they leak.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/calesthio-openmontage/connect-paid-video-providers/