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Coding · Advanced

# Testing multi-step web agent workflows on live sites

Execute browser navigation scenarios, track milestone checkpoints, and log task efficiency.

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When something happensBenchmark run initiated
- ThenExecute web tasks across target sites
- ResultLog node scores and await report

Evaluate and debug autonomous web navigation scripts against dynamic live websites. The bot executes scheduled interaction sequences, checks intermediate milestone states, collects execution logs, and records completion accuracy alongside token and compute costs.

## Prompt to start with

BotBentoRecommended

```
Execute web navigation test cases through the browser environment according to the provided task specifications. Record DOM observations and verify that each key interaction node is reached. Calculate token expenditures and completion scores for each trial run, saving the detailed logs to the spreadsheet. Always request approval before posting benchmark summaries to the Slack channel or deleting old run artifacts.
```

Copy

## Tools it uses

BrowserTerminalSpreadsheetSlack

## Works with

BotBento

## Tags

- browser
- testing
- benchmarks
- qa
- web-agents

## Source

[WebCanvas: All-in-one Web Agent framework for post-training. Start building with a few clicks!](https://github.com/iMeanAI/WebCanvas)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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