89 curated builds·evidence labeled
COMMUNITY OBSERVED

Flight Search with Browser Use

A browser agent searching real-world flights at 1× speed with Jev choosing each next action.

Overview & Result

Demonstrates an open-source browser agent navigating flight booking flows. Rather than prompting a heavy vision model for every click, the agent feeds DOM candidate states to Jev to select the next action in tens of milliseconds.

How Jev fits in the loop

  1. Observe the active browser page and extract candidate interactive DOM nodes.
  2. Pass the current goal and candidate actions to Jev Choice.
  3. Jev returns the target element ID with calibrated confidence.
  4. Browser Use executes the interaction and observes the next state.

How to reproduce

  1. Inspect the source implementation at https://github.com/browser-use/jev-ultrafast.
  2. Configure local Jev API credentials and register required tool/model bindings.
  3. Execute test prompts and observe decision latency and routing outputs.

Why this build matters

Proves that browser navigation can run near real-time without multi-second multimodal LLM delays per step.

Reported performance

Reported by author

Cost: ~$0.0039

Latency: ~7 s total run

Author reported finding flights in ~7s for ~$0.0039 total cost with video recorded at 1× speed.

Limitations

  • Metrics are author-reported from the initial release unless independently verified.
  • Requires access to the respective agent framework or runtime environment.
  • Generative model execution remains external to the Jev decision step.

Patterns