# AI use cases for Awesome Jev Use Cases (walidboulanouar/awesome-jev-use-cases) Repo: [walidboulanouar/awesome-jev-use-cases](https://github.com/walidboulanouar/awesome-jev-use-cases) | Use cases: 3 | Page: https://dedupedai.com/use-cases/walidboulanouar-awesome-jev-use-cases/ A curated list of demos, repos, limits, cost figures and API notes for TypeSafe's Jev model, which answers typed questions instead of generating text. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Triage a large inbox with Jev for a few cents: https://dedupedai.com/use-cases/walidboulanouar-awesome-jev-use-cases/triage-inbox-with-jev-classifier/ - Filter a social feed with a Jev classifier: https://dedupedai.com/use-cases/walidboulanouar-awesome-jev-use-cases/filter-feed-with-jev-classifier/ - Choose a browser agent demo before delegating a search task: https://dedupedai.com/use-cases/walidboulanouar-awesome-jev-use-cases/pick-browser-agent-demo-for-delegation/ ## How to triage a large inbox with Jev for a few cents with Awesome Jev Use Cases Repo: [walidboulanouar/awesome-jev-use-cases](https://github.com/walidboulanouar/awesome-jev-use-cases) | Difficulty: Intermediate | Time: 60 minutes | Basis: From the README Copy the email triage pattern from a listed demo and test it on your own messages. **Who it is for:** A founder or ops person with a backlog of hundreds of emails who needs each one sorted by a typed decision. **The problem:** Reading and sorting every email by hand is slow, and an LLM may be more than the job needs. **The outcome:** A short script or call that returns a typed label and confidence for each email, with a measured cost per batch. ### Steps 1. Open the Triage and routing section and read the entry titled 500 emails for 3.5 cents. 2. Read Limits of Jev 1.13 and check that your sorting task does not depend on math, counting or dates. 3. Read Reported cost and latency and estimate the input token count for your batch. 4. Send a POST to https://api.typesafe.ai/v1/systemone with your bearer key, following the curl example in docs/api-quickstart.md. 5. Run the call on 20 sample emails and compare the labels with your own judgment before running the full batch. ### Prompt to paste into your agent ```text Using the repo walidboulanouar/awesome-jev-use-cases, read the Triage and routing section and the Jev API quickstart, then build a small script that sends each email in to the Jev API and returns a label and confidence per email. Verify the output on 20 emails by checking that every line has a label and a confidence value. ``` ### Caveat The 3.5 cents figure comes from the demo author's post and is not checked by this list, so measure your own cost. 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/walidboulanouar-awesome-jev-use-cases/triage-inbox-with-jev-classifier/ ## How to filter a social feed with a Jev classifier with Awesome Jev Use Cases Repo: [walidboulanouar/awesome-jev-use-cases](https://github.com/walidboulanouar/awesome-jev-use-cases) | Difficulty: Intermediate | Time: 90 minutes | Basis: From the README Adapt a listed feed-filter demo to score posts as you scroll. **Who it is for:** A developer building a personal feed filter who wants to hide low-quality posts without a slow model call. **The problem:** Keyword filters miss tone and quality, and a full text model may be too slow or costly for every post. **The outcome:** A function that takes a post and returns a Jev typed answer, such as keep or hide, with a confidence value. ### Steps 1. Open Content and growth and read the entries for the real-time slop detector and the doomscroll filter. 2. Read Patterns to see how the working demos are put together. 3. Read Limits of Jev 1.13 and note that accuracy drops with irrelevant state, so send only the post text. 4. Send a POST to https://api.typesafe.ai/v1/systemone with your bearer key, using docs/api-quickstart.md. 5. Test on 50 saved posts and record how many decisions you would change by hand. ### Prompt to paste into your agent ```text Using the repo walidboulanouar/awesome-jev-use-cases, read the Content and growth section and the Patterns section, then write a function that sends one post text from to the Jev API and returns a keep or hide decision with a confidence value. Verify by running it on 50 saved posts and confirming every result is keep or hide. ``` ### Caveat The README lists the demos but does not say how any of them handle platform terms, so check that before you run a filter on a live feed. 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/walidboulanouar-awesome-jev-use-cases/filter-feed-with-jev-classifier/ ## How to choose a browser agent demo before delegating a search task with Awesome Jev Use Cases Repo: [walidboulanouar/awesome-jev-use-cases](https://github.com/walidboulanouar/awesome-jev-use-cases) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README Use the flight search and browser agent entries to scope a delegated web task. **Who it is for:** An operator or agent builder who wants an AI agent to run a web search or form task and needs a reference demo first. **The problem:** Delegating browsing to an agent without a reference can produce unclear scope and wasted runs. **The outcome:** A short written plan that names the demo to copy, the inputs the agent needs and the output format to expect. ### Steps 1. Open Agents and computer use and read the entry Flight search with Browser Use. 2. Read the entries Stagehand on a remote browser and Headless Chromium agent to compare approaches. 3. Write the task as one input, one output and one stop condition. 4. Send a POST to https://api.typesafe.ai/v1/systemone with your bearer key only if the task needs a typed decision, following docs/api-quickstart.md. ### Prompt to paste into your agent ```text Using the repo walidboulanouar/awesome-jev-use-cases, read the Agents and computer use section and write a plan for a browser agent that searches for and returns a list of results. Verify that the plan names one input, one output format and one stop condition. ``` ### Caveat The README gives the browser demos as examples only, so treat them as reference points and not as tested products. Risk, credentials: Browser agents may need logins or saved sessions, so keep keys and passwords out of prompts and config files that an agent can read. 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/walidboulanouar-awesome-jev-use-cases/pick-browser-agent-demo-for-delegation/