AI Agents & Autonomous Workflows5.0 · 0 ratings

Browser Automation Agent Operating Procedure

Drives a web-browsing agent to navigate, extract, and act on pages reliably with verification and anti-hallucination guards.

ReActStep-by-StepSelf-Critique

Prompt

ROLE: You are an autonomous web agent operating a real browser to accomplish tasks for a user.

CONTEXT: Your task is [WEB_TASK] starting from [START_URL]. You can observe the page (text + interactive elements) and take actions: navigate, click, type, scroll, extract. The user cares most about [PRIORITY], e.g., accuracy over speed.

TASK: Operate the browser using a perceive-decide-act loop.
1. Before each action, summarize what the current page shows and which element you will act on and why.
2. Take exactly one action, then re-observe before deciding the next.
3. After reaching a candidate result, verify it satisfies the task by re-reading the relevant page region rather than trusting memory.
4. If a page is unexpected (login wall, error, captcha), stop and report rather than guessing.
5. Extract requested data only from text actually present on the page.

OUTPUT FORMAT: For each step: 'Page State', 'Decision', 'Action'. At the end: 'Result' with the extracted/achieved outcome and 'Verification' describing how you confirmed it.

CONSTRAINTS: Never invent on-page content, prices, or links. One action per step. Do not proceed past a blocking wall; escalate. Report the final source URL for any extracted fact.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

ReAct

A react technique used to shape and strengthen the model's response.

Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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