# AI use cases for DSH Lowtide (KelaoHu/dsh-lowtide)

Repo: [KelaoHu/dsh-lowtide](https://github.com/KelaoHu/dsh-lowtide) | Use cases: 4 | Page: https://dedupedai.com/use-cases/kelaohu-dsh-lowtide/

A plugin for DeepSeek Harness (dsh) that queues tasks during busy hours and runs them unattended in off-peak windows, then returns a report.

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

- Queue daytime tasks and collect results at off-peak: https://dedupedai.com/use-cases/kelaohu-dsh-lowtide/queue-tasks-for-off-peak-run/
- Get an independent critical review of a deliverable: https://dedupedai.com/use-cases/kelaohu-dsh-lowtide/review-deliverable-before-shipping/
- Generate four design candidates and pick the best: https://dedupedai.com/use-cases/kelaohu-dsh-lowtide/compare-candidate-designs-side-by-side/
- Run queued tasks unattended on an always-on dsh server: https://dedupedai.com/use-cases/kelaohu-dsh-lowtide/run-unattended-on-always-on-server/

## How to queue daytime tasks and collect results at off-peak with DSH Lowtide

Repo: [KelaoHu/dsh-lowtide](https://github.com/KelaoHu/dsh-lowtide) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

File tasks whenever they come to mind, release them, and read a morning report of what ran.

**Who it is for:** A developer using dsh during the workday who wants routine agent jobs to run later at lower off-peak prices.

**The problem:** Agent work takes your attention while you wait, and it often runs at peak prices when you are busy.

**The outcome:** Tasks run unattended inside the off-peak window, and you review the results and spend the next day.

### Steps

1. Open the new-task modal in dsh with lowtide installed and pick a strategy such as single or iterative.
2. Set rounds, priority, and run mode for the task, then file it so it lands as pending review.
3. Release each task you trust, or in batch mode release the whole batch from the gate card 30 minutes before the window.
4. Let the queued tasks run when the off-peak window opens.
5. Open the execution report in the morning, retry failed tasks, and merge the good results.

### Prompt to paste into your agent

```text
Using the lowtide plugin in DeepSeek Harness, queue the task described here for <target project path> with the single strategy and release it for the next off-peak window. Expected output: a task in the queue with status queued, then an execution report listing results and actual spend. Verify that the task appears in the report with its workspace and cost.
```

### Caveat

The README says the batch runs in DeepSeek's valley hours, so the savings depend on DeepSeek's published peak and valley times, and non-official models show price unknown in the ledger.

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/kelaohu-dsh-lowtide/queue-tasks-for-off-peak-run/

## How to get an independent critical review of a deliverable with DSH Lowtide

Repo: [KelaoHu/dsh-lowtide](https://github.com/KelaoHu/dsh-lowtide) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Run a task once, then have a separate session critique the result against a focus you choose.

**Who it is for:** A consultant or freelancer preparing a client deliverable who wants a second check before sending it.

**The problem:** A single agent pass can contain errors that the same session tends not to notice.

**The outcome:** You receive the result plus a critical review written by an independent session focused on the risks you named.

### Steps

1. In the new-task modal, choose the review strategy for the deliverable task.
2. Enter your review focus, for example a specific kind of error you want checked.
3. Set the workspace to the project folder that holds the deliverable source files.
4. File the task and release it for the next off-peak window.
5. Read the report and compare the result with the critical review before sending anything.

### Prompt to paste into your agent

```text
Using the lowtide plugin in DeepSeek Harness, run the review strategy on the deliverable task in <workspace path> with the review focus set to <review focus>. Expected output: a report containing the task result and an independent review of it. Verify that the review section appears and cites the focus you set.
```

### Caveat

The README describes the review strategy as roughly twice the cost of a single run, so budget for that before filing large batches.

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/kelaohu-dsh-lowtide/review-deliverable-before-shipping/

## How to generate four design candidates and pick the best with DSH Lowtide

Repo: [KelaoHu/dsh-lowtide](https://github.com/KelaoHu/dsh-lowtide) | Difficulty: Beginner | Time: 30 minutes | Basis: From the README

Run four isolated sessions that each produce a full candidate, then choose one yourself.

**Who it is for:** A designer or engineer who needs several options for a title, idea, or design and wants to make the final call.

**The problem:** One generated answer rarely gives enough options, and comparing them by hand takes time.

**The outcome:** You get four complete candidates shown side by side with their costs, and you pick the one you prefer.

### Steps

1. In the new-task modal, choose the sampling strategy and set the candidate count to 4.
2. Describe the design problem clearly in the task prompt.
3. File the task so it lands as pending review, then release it.
4. Open the execution report once the run finishes.
5. Compare the candidates side by side and choose one, since the machine makes no aesthetic judgment.

### Prompt to paste into your agent

```text
Using the lowtide plugin in DeepSeek Harness, run the sampling strategy with 4 candidates on the design problem described in <design brief file>. Expected output: four complete candidates shown side by side with their costs in the execution report. Verify that exactly four candidates appear and that each has a cost listed.
```

### Caveat

The README says the sampling strategy costs about N times a single run, so four candidates cost roughly four times as much.

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/kelaohu-dsh-lowtide/compare-candidate-designs-side-by-side/

## How to run queued tasks unattended on an always-on dsh server with DSH Lowtide

Repo: [KelaoHu/dsh-lowtide](https://github.com/KelaoHu/dsh-lowtide) | Difficulty: Advanced | Time: 1 hour | Basis: From the README

Set full-auto on a dsh machine that runs all day, then file tasks through its API.

**Who it is for:** A developer who keeps a dsh machine running 24/7 and wants to file work from elsewhere without watching each run.

**The problem:** Each task normally waits for a confirmation, which blocks unattended operation on a server.

**The outcome:** Tasks you file run on schedule in the sandbox at off-peak times and the report is written with no confirmations.

### Steps

1. In settings, switch the autonomy level to L3 full-auto, accepting the double confirmation.
2. Confirm the workspace and the sandbox preset you want the tasks to use.
3. Set the daily budget in settings so unattended spending stays within your limit.
4. File tasks through the API route `POST /ds-lowtide/tasks`.
5. Check the execution report later to confirm the tasks ran and the budget was respected.

### Prompt to paste into your agent

```text
Using the lowtide plugin in DeepSeek Harness on a machine that runs 24/7, switch autonomy to L3 full-auto and file the task <task description> through POST /ds-lowtide/tasks. Expected output: the task runs at off-peak and appears in the execution report. Verify that the task status reaches done or a clear failure reason, and that the daily budget was not exceeded.
```

### Caveat

The README says the HTTP routes accept only same-origin requests from the same machine, which may block filing tasks from another location despite the remote-filing example.

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/kelaohu-dsh-lowtide/run-unattended-on-always-on-server/