# AI use cases for Awesome Jev (yibie/awesome-jev) Repo: [yibie/awesome-jev](https://github.com/yibie/awesome-jev) | Use cases: 4 | Page: https://dedupedai.com/use-cases/yibie-awesome-jev/ A curated GitHub list of public projects, integrations, and discussions built on Jev, TypeSafe AI's System One model for typed decisions. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Find Jev projects that match your coding agent: https://dedupedai.com/use-cases/yibie-awesome-jev/find-jev-projects-for-your-coding-agent/ - Vet a listed Jev project before you adopt it: https://dedupedai.com/use-cases/yibie-awesome-jev/vet-a-listed-jev-project-before-adopting-it/ - Spot same-day bulk submissions before trusting them: https://dedupedai.com/use-cases/yibie-awesome-jev/spot-same-day-bulk-submissions/ - Submit a missing Jev project to the list: https://dedupedai.com/use-cases/yibie-awesome-jev/submit-a-missing-jev-project-to-the-list/ ## How to find Jev projects that match your coding agent with Awesome Jev Repo: [yibie/awesome-jev](https://github.com/yibie/awesome-jev) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README Filter the list by coding agent tag to shortlist Jev tools for Claude Code or Codex. **Who it is for:** A developer using Claude Code or Codex who wants a Jev-based tool built for that agent. **The problem:** The list holds many entries across many categories, so a developer cannot easily tell which tools target their agent. **The outcome:** A shortlist of linked projects tagged for the developer's agent, each with a one-sentence summary. ### Steps 1. Open https://github.com/yibie/awesome-jev and scroll to the section named Find by coding agent. 2. Pick the tag for your agent: Claude Code (18 entries) or Codex (6 entries). 3. Check the Multi tag (24 entries) for projects that list several agents. 4. Open each linked project and read its summary on the matching category page. 5. Run the checks under Curation is not endorsement on any project before you install it. ### Prompt to paste into your agent ```text Using the repo yibie/awesome-jev, list every entry under the Claude Code tag in its README with its name and link. Expected output: a list of 18 entries with GitHub links. Verify that the count matches the 18 shown in the Find by coding agent section. ``` ### Caveat The agent tags are optional and only appear on entries where the source supports the classification, so many entries carry no tag. 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/yibie-awesome-jev/find-jev-projects-for-your-coding-agent/ ## How to vet a listed Jev project before you adopt it with Awesome Jev Repo: [yibie/awesome-jev](https://github.com/yibie/awesome-jev) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Run the README's five checks on one project to see if it uses Jev and can be tested. **Who it is for:** An engineer who found a Jev project in the list and needs to decide whether to try it. **The problem:** The list only applies inclusion rules, so a project can be listed without working code, tests, or a usable license. **The outcome:** A short written record showing which of the five checks pass, fail, or remain unclear for that project. ### Steps 1. Open the project's GitHub page and confirm that most of the repository is code, not only prompt documents. 2. Search the code for a call to the Jev API and confirm it sends a typed question and parses a typed answer. 3. Look for a test, an example with expected output, or a public demo. 4. Trace any accuracy, latency, cost, or volume figure to a source in the project. 5. Check for a license file and record whether one exists before reuse. ### Prompt to paste into your agent ```text Using the checklist in the yibie/awesome-jev README under Curation is not endorsement, check for a Jev API call, a runnable test or demo, a license file, and the share of code versus prose. Expected output: a table with one row per check marked pass, fail, or unclear, each with a file path as evidence. Verify that every pass cites a real file path in the target repository. ``` ### Caveat The list does not verify that any project compiles, that its tests pass, or that its license permits your use, so these checks are your responsibility. Risk, remote script: Do not run install scripts or setup commands from a listed project until the checks pass, because the list does not review code. 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/yibie-awesome-jev/vet-a-listed-jev-project-before-adopting-it/ ## How to spot same-day bulk submissions before trusting them with Awesome Jev Repo: [yibie/awesome-jev](https://github.com/yibie/awesome-jev) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README Check commit history and shared scaffold files to see if a bulk-submitted repo is proven. **Who it is for:** A maintainer or curator who sees several repositories from one author added at the same time. **The problem:** Bulk repos can meet every inclusion rule while still being unproven, and volume is not evidence of quality. **The outcome:** A clear yes or no on whether a bulk-submitted repository shows real development history and original code. ### Steps 1. Open the repository's commit history and note the number of commits and the dates they were made. 2. Look in the root folder for the shared scaffold files named in the README: AGENTS.md, CLAUDE.md, STATE.md, and CHANGELOG.md. 3. Compare the count of prose files to the count of code files. 4. Check whether the same scaffold appears in other repositories from the same author. 5. Label the repository as a lead rather than a validated tool if the signals point to a shared template. ### Prompt to paste into your agent ```text Using the Curation is not endorsement section of yibie/awesome-jev as the reference, inspect for commit count, commit dates, the presence of AGENTS.md, CLAUDE.md, STATE.md, and CHANGELOG.md, and the ratio of code to prose files. Expected output: a short verdict of proven, unproven, or unclear with the evidence listed. Verify the verdict against the commit history shown on the repository page. ``` ### Caveat The README describes these signals as a warning, not a rule, so a bulk-submitted repository may still be legitimate. 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/yibie-awesome-jev/spot-same-day-bulk-submissions/ ## How to submit a missing Jev project to the list with Awesome Jev Repo: [yibie/awesome-jev](https://github.com/yibie/awesome-jev) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Check a project against the inclusion rules and open a pull request with a one-sentence summary. **Who it is for:** A developer who built or found a public Jev project that is not yet in the list. **The problem:** Useful Jev projects stay hidden when they are not in a curated list, but submissions must meet specific rules. **The outcome:** A pull request or issue that the maintainers can review against the inclusion criteria. ### Steps 1. Read the inclusion criteria and confirm the source is public and citable. 2. Confirm the example uses Jev for a concrete decision task, such as classification, routing, scoring, or verification. 3. Confirm the source names Jev, cites TypeSafe AI's System One models, or shows a typed-decision loop. 4. Write one sentence that explains the scenario, method, and value. 5. Open an issue or pull request, following the rules in CONTRIBUTING.md. ### Prompt to paste into your agent ```text Using the inclusion criteria in yibie/awesome-jev, assess against the four rules and draft a one-sentence summary for it. Expected output: a pass or fail for each rule with a quoted line from the project as evidence, plus a summary under 140 characters. Verify that the summary describes the scenario, method, and value in one sentence. ``` ### Caveat Inclusion means only that an entry meets the rules, and the list says removal is as valid a contribution as addition. 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/yibie-awesome-jev/submit-a-missing-jev-project-to-the-list/