# AI use cases for Generative Loaders (kasturibuilds/generative-loaders)

Repo: [kasturibuilds/generative-loaders](https://github.com/kasturibuilds/generative-loaders) | Use cases: 4 | Page: https://dedupedai.com/use-cases/kasturibuilds-generative-loaders/

Generative Loaders is an npm package of accessible React loading states (animated text reveals, compact activity indicators, and image placeholders) built for AI-generated responses.

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

- Stream AI answers into a React chat with TextLoader: https://dedupedai.com/use-cases/kasturibuilds-generative-loaders/stream-ai-answers-into-react-chat/
- Show a compact wait indicator on buttons and status rows: https://dedupedai.com/use-cases/kasturibuilds-generative-loaders/show-pending-activity-on-buttons-and-status-rows/
- Reserve image frames while generated images load: https://dedupedai.com/use-cases/kasturibuilds-generative-loaders/hold-image-frames-while-images-generate/
- Run the package checks before opening a pull request: https://dedupedai.com/use-cases/kasturibuilds-generative-loaders/verify-loader-changes-before-a-pull-request/

## How to stream AI answers into a React chat with TextLoader with Generative Loaders

Repo: [kasturibuilds/generative-loaders](https://github.com/kasturibuilds/generative-loaders) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Show a streamed AI response that animates only the newly arrived text in a React app.

**Who it is for:** A front-end developer building a chat screen where the model answer arrives in chunks over a streaming HTTP response.

**The problem:** Re-rendering streamed text often replays animations on content that already appeared, which is distracting and hard to read.

**The outcome:** The answer grows as chunks arrive, previously received text stays still, and the live status announces received text to assistive technology.

### Steps

1. Run `npm install generative-loaders` in the React project.
2. Import TextLoader from Generative Loaders and import generative-loaders/styles.css once near the application root.
3. Keep the full response received so far in React state and append each decoded chunk to it.
4. Render TextLoader with the full text and one of the text variants, such as decode or typewriter.
5. Stream a test response from your endpoint and confirm earlier text does not reanimate as new chunks arrive.

### Prompt to paste into your agent

```text
In the generative-loaders repo (kasturibuilds/generative-loaders), wire TextLoader into the chat component at <path-to-component> so it renders the full response text received so far from a streaming fetch. Expected output: a short diff and a note on which text variant was chosen. Verify that the component passes the complete accumulated string, not only the newest chunk.
```

### Caveat

The README asks you to pass the complete response received so far, so a component that sends only the newest token will not show the intended behavior.

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/kasturibuilds-generative-loaders/stream-ai-answers-into-react-chat/

## How to show a compact wait indicator on buttons and status rows with Generative Loaders

Repo: [kasturibuilds/generative-loaders](https://github.com/kasturibuilds/generative-loaders) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Display a small animated activity state while an AI request is pending.

**Who it is for:** A developer whose app triggers an AI action from a button or status line and needs a visible wait state before any text arrives.

**The problem:** Users click a button and see nothing change while the model works, so they may click again or assume the app is stuck.

**The outcome:** The button or status row shows an animated indicator with a clear label until the response starts.

### Steps

1. Run `npm install generative-loaders` in the project.
2. Import InlineLoader and the styles stylesheet from Generative Loaders.
3. Render InlineLoader next to the pending text, choosing a variant such as dot-pulse or spark and a size.
4. Add a label prop when the loader stands alone, or leave it off when adjacent text already describes the activity.
5. Trigger a slow request and confirm the indicator appears and stops when the response begins.

### Prompt to paste into your agent

```text
In the kasturibuilds/generative-loaders package, add an InlineLoader to the pending state of <component-name> with a label that describes the request. Expected output: the updated component and a one-line summary of the chosen variant. Verify that the label is set when the loader has no nearby text describing the activity.
```

### Caveat

The README says InlineLoader avoids duplicate announcements only when adjacent text already describes the activity, so standalone uses need the label prop.

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/kasturibuilds-generative-loaders/show-pending-activity-on-buttons-and-status-rows/

## How to reserve image frames while generated images load with Generative Loaders

Repo: [kasturibuilds/generative-loaders](https://github.com/kasturibuilds/generative-loaders) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Show sized placeholder frames with a Generating image label until each picture is ready.

**Who it is for:** A developer building an image generation screen where the final picture takes time and the layout must not jump.

**The problem:** Without a placeholder, the page layout shifts when the image arrives and users cannot tell that generation is still running.

**The outcome:** Each pending image shows a reserved frame with an animated placeholder and an accessible label, then gets replaced by the finished image.

### Steps

1. Run `npm install generative-loaders` in the project.
2. Import ImageLoader and the styles stylesheet from Generative Loaders.
3. Render ImageLoader in the image slot with a variant such as skeleton or pixel-grid, a size, and a radius that matches your design.
4. Keep the default label or pass your own label for the frame.
5. Replace the ImageLoader with your image element when generation completes and check that the layout does not shift.

### Prompt to paste into your agent

```text
In the generative-loaders repo, render ImageLoader in place of the pending image in <path-to-image-component> using a variant from the twelve image variants, sized to match the final image. Expected output: the code change and the variant name used. Verify that the frame keeps the same size before and after the real image replaces it.
```

### Caveat

The README lists the image variants and default label but does not describe how the placeholder should be sized to match your generated image, so you must set size yourself.

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/kasturibuilds-generative-loaders/hold-image-frames-while-images-generate/

## How to run the package checks before opening a pull request with Generative Loaders

Repo: [kasturibuilds/generative-loaders](https://github.com/kasturibuilds/generative-loaders) | Difficulty: Advanced | Time: 45 minutes | Basis: From the README

Test, lint, and dry-run the npm package before submitting a change to the repo.

**Who it is for:** A contributor or coding agent who has changed loader code in the public repo and needs to confirm it passes before review.

**The problem:** A change can break tests, lint rules, or the published package contents, and reviewers will reject it without these checks.

**The outcome:** The contributor gets a clean test run, lint result, and package dry-run output ready to attach to a pull request.

### Steps

1. Run `npm install` in the cloned repository.
2. Run `npm test` and fix any failing tests.
3. Run `npm run lint` and fix any reported issues.
4. Run `npm pack --workspace generative-loaders --dry-run` to check the package contents.
5. Read CONTRIBUTING.md in the repo for the full workflow, then open the pull request.

### Prompt to paste into your agent

```text
In the kasturibuilds/generative-loaders repository, run npm install, npm test, npm run lint, and npm pack --workspace generative-loaders --dry-run after my change to <file-or-component>. Expected output: a pass or fail summary for each command with any error messages. Verify that all three commands exit with no errors before suggesting a pull request.
```

### Caveat

The README says the live website is maintained separately, so the checks cover only the public npm package source in this repository.

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/kasturibuilds-generative-loaders/verify-loader-changes-before-a-pull-request/