# AI use cases for Lnwjud (engasnm111/lnwjud) Repo: [engasnm111/lnwjud](https://github.com/engasnm111/lnwjud) | Use cases: 4 | Page: https://dedupedai.com/use-cases/engasnm111-lnwjud/ lnwjud is a cross-platform local AI-agent runtime and MCP gateway that exposes 294 tool definitions for files, Git, processes, browser control and more. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Run a Release Readiness review before publishing a build: https://dedupedai.com/use-cases/engasnm111-lnwjud/run-release-readiness-review-before-publishing/ - Audit a CSV or XLSX file for data problems: https://dedupedai.com/use-cases/engasnm111-lnwjud/audit-csv-or-xlsx-file-for-data-problems/ - Review Git changes in the explorer before committing: https://dedupedai.com/use-cases/engasnm111-lnwjud/review-git-changes-in-explorer-before-committing/ - Delegate a bounded task to Codex through Agent Swarm: https://dedupedai.com/use-cases/engasnm111-lnwjud/delegate-bounded-task-to-codex-via-agent-swarm/ ## How to run a Release Readiness review before publishing a build with Lnwjud Repo: [engasnm111/lnwjud](https://github.com/engasnm111/lnwjud) | Difficulty: Intermediate | Time: 60 minutes | Basis: From the README Run the Release Readiness workflow on a local project and review its evidence before a release. **Who it is for:** A developer preparing a desktop or command-line release who needs a review-first check of the project before publishing. **The problem:** Release checks are spread across Git state, tests and file contents, so gaps are easy to miss before shipping. **The outcome:** A reviewed draft that lists readiness evidence. The preview does not start a Goal, scheduler or AI worker on its own. ### Steps 1. Download the Lnwjud build for your platform from the release page: Windows Portable x64, macOS Intel x64 DMG, or Linux x64 AppImage. 2. Open Lnwjud and select the project folder as the workspace. 3. Open the workflows list and choose Release Readiness. 4. Fill in the required inputs. Lnwjud checks them before it prepares a draft. 5. Read the draft and its evidence, then decide on any follow-up action yourself. ### Prompt to paste into your agent ```text Using the lnwjud repo, run its Release Readiness workflow on and report which readiness checks have recorded evidence and which do not. Verify that the preview did not start a Goal, scheduler or AI worker. ``` ### Caveat The README lists Windows, macOS and Linux builds, but macOS and Linux capabilities depend on platform permissions and target-native verification. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. 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/engasnm111-lnwjud/run-release-readiness-review-before-publishing/ ## How to audit a CSV or XLSX file for data problems with Lnwjud Repo: [engasnm111/lnwjud](https://github.com/engasnm111/lnwjud) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Use the Data Audit workflow to check a tabular file for typed issues while keeping the source file. **Who it is for:** An analyst or operations person who receives a spreadsheet or CSV export and needs to check it before using it. **The problem:** Tabular exports often contain type mismatches and odd values that are hard to spot by eye in a large file. **The outcome:** A typed audit of the file. The source file is preserved by default. ### Steps 1. Download the Lnwjud build for your platform from the release page. 2. Open Lnwjud and select the folder that contains the CSV or XLSX file as the workspace. 3. Open the workflows list and choose Data Audit. 4. Select the file and complete the required inputs. 5. Review the typed findings and confirm the original file is still in place. ### Prompt to paste into your agent ```text Use the lnwjud repo's Data Audit workflow on and list the typed findings by column. Verify that the source file is preserved after the audit. ``` ### Caveat Native Office actions depend on platform and provider support, so XLSX handling may differ from one machine to another. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. 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/engasnm111-lnwjud/audit-csv-or-xlsx-file-for-data-problems/ ## How to review Git changes in the explorer before committing with Lnwjud Repo: [engasnm111/lnwjud](https://github.com/engasnm111/lnwjud) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Browse changed and untracked files, read diffs, and run a Code Review workflow on a repo. **Who it is for:** A developer with a working tree full of changes who wants a careful look before committing or opening a pull request. **The problem:** New folders with many untracked files are hard to review when only folder counts are shown. **The outcome:** A list of changed files with readable diffs and a Code Review summary of the working tree. ### Steps 1. Download the Lnwjud build for your platform and open it. 2. Select the Git repository folder as the workspace. 3. Open the Git explorer and expand the tree to see each untracked file in new folders. 4. Open diffs and safe previews for the files you want to check. 5. Run the Code Review workflow on the working tree and read its findings. ### Prompt to paste into your agent ```text In the lnwjud repo, use the Git explorer and Code Review workflow on to list changed and untracked files and summarize the riskiest diffs. Verify that each untracked file in a new folder is listed individually, not only as a folder count. ``` ### Caveat The README describes the Git explorer and the Code Review workflow but does not describe the exact format of the review output. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. 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/engasnm111-lnwjud/review-git-changes-in-explorer-before-committing/ ## How to delegate a bounded task to Codex through Agent Swarm with Lnwjud Repo: [engasnm111/lnwjud](https://github.com/engasnm111/lnwjud) | Difficulty: Advanced | Time: 90 minutes | Basis: From the README Hand a scoped coding task to a Codex agent and monitor its progress from Lnwjud. **Who it is for:** A developer who wants to split off a well-defined coding task to Codex while keeping control of the workspace. **The problem:** Running a Codex agent by hand leaves no shared record of ownership, output or the final result. **The outcome:** A Codex agent works on a scoped task in the workspace, and its status, output and terminal receipt stay retrievable by the owner. ### Steps 1. Enable Codex delegation and Agent Swarm in Lnwjud. The README does not give the exact setting path. 2. Confirm the tool count rises to 294 once both are enabled. 3. Start a bounded task in the workspace and keep monitoring the spawned agent until it reports a result. 4. Retrieve the retained task status, stdout, stderr and terminal receipt for the task. 5. Review the Codex output before accepting any change. ### Prompt to paste into your agent ```text Using the lnwjud repo with Codex delegation and Agent Swarm enabled, delegate to a Codex agent in and report its status. Verify that monitoring continues after the start request ends and that the terminal receipt is retrievable. ``` ### Caveat Hosted Codex results depend on account quota and provider availability, so a delegated run can stall even when Lnwjud itself works. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. 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/engasnm111-lnwjud/delegate-bounded-task-to-codex-via-agent-swarm/