# AI use cases for Jev Ultrafast (browser-use/jev-ultrafast) Repo: [browser-use/jev-ultrafast](https://github.com/browser-use/jev-ultrafast) | Use cases: 3 | Page: https://dedupedai.com/use-cases/browser-use-jev-ultrafast/ Jev Ultrafast is a browser agent from Browser Use with a dynamic, indexed action space. Each page becomes a numbered element table, TypeSafe's Jev picks one operation (CLICK, TYPE_TEXT, SELECT, SCROLL, WAIT, DONE or BLOCKED) and a target in one network round trip, and a small LLM writes text only when the operation is TYPE_TEXT. The README shows a Zurich to London Google Flights search in about 7 seconds. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Run a 7 second browser agent and watch every decision: https://dedupedai.com/use-cases/browser-use-jev-ultrafast/watch-a-fast-browser-agent-in-the-inspector/ - Script a web task in Python with one natural language goal: https://dedupedai.com/use-cases/browser-use-jev-ultrafast/script-a-web-task-with-the-jev-library/ - Run a verified flight search that never books: https://dedupedai.com/use-cases/browser-use-jev-ultrafast/verify-a-flight-search-without-booking/ ## How to run a 7 second browser agent and watch every decision with Jev Ultrafast Repo: [browser-use/jev-ultrafast](https://github.com/browser-use/jev-ultrafast) | Difficulty: Intermediate | Time: 20 minutes | Basis: From the README Start the local inspector and see each element table, operation probability and executed action. **Who it is for:** A developer evaluating browser agents who wants to see why one is fast before adopting it. **The problem:** Most browser agents are slow because they screenshot and call a big model for every step, and you cannot see why they chose an action. **The outcome:** A local demo that runs a real task and shows numbered elements, operation and target probabilities and every executed action. ### Steps 1. Run `git clone https://github.com/browser-use/jev-ultrafast.git` and `cd jev-ultrafast` 2. Run `uv sync` then `cp .env.example .env` and add TYPESAFE_API_KEY and TEXT_MODEL_API_KEY 3. Start the inspector with `uv run jev` and open http://127.0.0.1:8766 4. Click Start demo, then Run automatically; use Choose next to pause before each action 5. If Chrome does not connect, run `uv run browser-harness --doctor` and allow remote debugging ### Prompt to paste into your agent ```text Set up browser-use/jev-ultrafast locally, start the inspector with uv run jev, run the demo step by step with Choose next, and summarize for each step the operation chosen, its probability and the target element. ``` ### Caveat Risk, credentials: The agent drives your existing Chrome profile, so owned tabs share your logins; use a separate profile for experiments. 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/browser-use-jev-ultrafast/watch-a-fast-browser-agent-in-the-inspector/ ## How to script a web task in Python with one natural language goal with Jev Ultrafast Repo: [browser-use/jev-ultrafast](https://github.com/browser-use/jev-ultrafast) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Use the Agent class to run any goal on any URL and stream its state from your own script. **Who it is for:** A Python developer who wants to drop a fast web agent into an automation script. **The problem:** Writing selectors or site-specific scripts for every web task breaks whenever a page changes. **The outcome:** A script that opens a URL, pursues one plain language goal and reports elapsed time and status at each step. ### Steps 1. Install as in Try it and fill in .env 2. In your script, `from jev_ultrafast import Agent` and pass a URL and a goal, as in the README example 3. Iterate over `agent.run()` and log elapsed_ms and status 4. Run it with `uv run --env-file .env python your_script.py` 5. Try the bundled example: `uv run --env-file .env python examples/run.py` with --url and --goal ### Prompt to paste into your agent ```text Write a Python script with browser-use/jev-ultrafast's Agent that opens and pursues the goal , logs elapsed_ms and status per step, and then independently checks the page to confirm the goal was met before reporting success. ``` ### Caveat A DONE choice still needs independent verification. Shadow roots, frames, canvas, uploads and pop-up tabs are outside this MVP. 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/browser-use-jev-ultrafast/script-a-web-task-with-the-jev-library/ ## How to run a verified flight search that never books with Jev Ultrafast Repo: [browser-use/jev-ultrafast](https://github.com/browser-use/jev-ultrafast) | Difficulty: Intermediate | Time: 20 minutes | Basis: From the README Use the bundled Google Flights example to search a route, check the results and save a trace. **Who it is for:** A travel or ops developer prototyping fare search automation who must not trigger purchases. **The problem:** Flight sites are dynamic forms with comboboxes and date pickers that break naive automation. **The outcome:** A completed search with the route, date and visible results checked independently, plus a saved trace, and no booking. ### Steps 1. Install the repo and keys as in Try it 2. Run `uv run --env-file .env python examples/flights.py --keep-open` 3. Let it fill the form, wait for suggestions and run the search 4. Read the check of route, date and results and inspect the saved trace 5. Change the goal in the library example to your own route and date ### Prompt to paste into your agent ```text Using browser-use/jev-ultrafast, run examples/flights.py with --keep-open, then adapt the library example to search one-way flights from to on for one adult in economy. Stop when results are visible and do not select or book anything. ``` ### Caveat The README timing is three repeats of one task on one browser profile, not a general reliability benchmark. 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/browser-use-jev-ultrafast/verify-a-flight-search-without-booking/