# AI use cases for Rulora (Buffalo2024/Rulora)

Repo: [Buffalo2024/Rulora](https://github.com/Buffalo2024/Rulora) | Use cases: 4 | Page: https://dedupedai.com/use-cases/buffalo2024-rulora/

Rulora is a JavaScript library of small control components that validate AI model outputs, cap agent retry loops, and freeze candidate answers for collective review.

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

- Reject malformed AI output before your app uses it: https://dedupedai.com/use-cases/buffalo2024-rulora/reject-malformed-model-output/
- Stop an agent retry loop that makes no progress: https://dedupedai.com/use-cases/buffalo2024-rulora/stop-stalled-agent-retry-loops/
- Freeze candidate answers so a reviewer picks only existing IDs: https://dedupedai.com/use-cases/buffalo2024-rulora/freeze-candidates-for-restricted-review/
- Run an offline three-seat candidate decision demo: https://dedupedai.com/use-cases/buffalo2024-rulora/run-offline-multi-seat-decision-demo/

## How to reject malformed AI output before your app uses it with Rulora

Repo: [Buffalo2024/Rulora](https://github.com/Buffalo2024/Rulora) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Run a structural check on model output so missing fields and unknown references stop early.

**Who it is for:** A backend developer whose app parses model JSON and fails when a required field is missing or a reference is wrong.

**The problem:** Model output can be malformed or incomplete, and the app only finds out after it has already acted on the data.

**The outcome:** Malformed output is rejected at the boundary with a clear result, and only output that passes the check is passed on.

### Steps

1. Install Node.js 20 or newer.
2. Run `git clone https://github.com/Buffalo2024/Rulora.git`
3. Run `cd Rulora`
4. Run `npm ci --ignore-scripts`
5. Run `npm run example:output` and read which cases were rejected.

### Prompt to paste into your agent

```text
Using the Rulora repo cloned into <target-dir>, run `npm ci --ignore-scripts` and then `npm run example:output`. Report which sample outputs were rejected and why. Verify that the case with a missing field is rejected, not accepted.
```

### Caveat

The boundary checks structure only, so a well-formed answer can still be factually wrong and the README says evidence and business rules need your own validators.

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/buffalo2024-rulora/reject-malformed-model-output/

## How to stop an agent retry loop that makes no progress with Rulora

Repo: [Buffalo2024/Rulora](https://github.com/Buffalo2024/Rulora) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Use bounded loop control so repeated failed attempts end in a stop or manual handoff.

**Who it is for:** An engineer whose agent keeps retrying a failing step with no real change between attempts.

**The problem:** Unbounded retries waste time and model calls and can hide the real failure.

**The outcome:** The loop stops after repeated lack of progress and hands the case to a person instead of continuing.

### Steps

1. Install Node.js 20 or newer.
2. Run `git clone https://github.com/Buffalo2024/Rulora.git`
3. Run `cd Rulora`
4. Run `npm ci --ignore-scripts`
5. Run `npm run example:loop` and confirm the run stops for manual handling.

### Prompt to paste into your agent

```text
In the Rulora repo at <target-dir>, install with `npm ci --ignore-scripts` and run `npm run example:loop`. Report how many attempts ran before the stop and whether the run was handed to manual handling. Verify that the loop did not continue after the no-progress condition.
```

### Caveat

The README says the loop stops on the configured rules, so the stop conditions you set in your own agent determine what counts as no progress.

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/buffalo2024-rulora/stop-stalled-agent-retry-loops/

## How to freeze candidate answers so a reviewer picks only existing IDs with Rulora

Repo: [Buffalo2024/Rulora](https://github.com/Buffalo2024/Rulora) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Lock a set of candidate answers so a reviewer can select from them but cannot change them.

**Who it is for:** A team running several model reviewers that must choose one answer from a fixed set produced by other agents.

**The problem:** A reviewer that can edit or invent candidates makes the final choice hard to audit.

**The outcome:** Candidates are frozen as a snapshot, and the reviewer's choice is limited to IDs that already exist.

### Steps

1. Install Node.js 20 or newer.
2. Run `git clone https://github.com/Buffalo2024/Rulora.git`
3. Run `cd Rulora`
4. Run `npm ci --ignore-scripts`
5. Run `npm run example:candidates` and check that the snapshot stays unchanged and only existing IDs are accepted.

### Prompt to paste into your agent

```text
Using the Rulora repo at <target-dir>, install with `npm ci --ignore-scripts` and run `npm run example:candidates`. Report the frozen candidate IDs and the reviewer's selection. Verify that the reviewer could only choose an ID that was already in the snapshot.
```

### Caveat

The freeze protects the candidate set, but the README notes that the quality of the chosen answer is not proven by the control logic.

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/buffalo2024-rulora/freeze-candidates-for-restricted-review/

## How to run an offline three-seat candidate decision demo with Rulora

Repo: [Buffalo2024/Rulora](https://github.com/Buffalo2024/Rulora) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

See submission, revision, freezing and restricted selection work together in one small program.

**Who it is for:** A developer evaluating how Rulora's controls combine in a multi-agent flow before adopting any part of it.

**The problem:** Reading separate control components does not show how they behave together across several agents.

**The outcome:** You see one seat rejected then accepted, one accepted first time, one stopped for manual handling, and two candidates frozen for review.

### Steps

1. Install Node.js 20 or newer.
2. Run `git clone https://github.com/Buffalo2024/Rulora.git`
3. Run `cd Rulora`
4. Run `npm ci --ignore-scripts`
5. Run `node examples/collective-decision/examples/controlled-collective.js`

### Prompt to paste into your agent

```text
In the Rulora repo at <target-dir>, install with `npm ci --ignore-scripts` and run `node examples/collective-decision/examples/controlled-collective.js`. Report the status of seat-a, seat-b and seat-c and which candidates were frozen. Verify that seat-c was marked for manual handling after two failures.
```

### Caveat

The demo uses synthetic candidates and no model calls, so it shows control behavior only and does not show that any business conclusion is accurate.

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/buffalo2024-rulora/run-offline-multi-seat-decision-demo/