Try a work task with a browser agent
The poster had Operator search the web for a work task; it made mistakes and would have taken longer than doing it manually. Task: Suggested implementation: Use OpenAI Operator with a ChatGPT Pro subscription to execute a browser task: find 50 financial YouTubers, gather LinkedIn info, emails, and channel summaries, and compile them into a table. Operator autonomously browses via Bing, visits pages, and attempts spreadsheet integration. Human role: Define the task scope, monitor progress, and critically verify all generated data against original sources before use.; tools: Operator. Human role: Source evidence is unavailable regarding specific human roles or manual intervention steps.; limitations: Prerequisites include a ChatGPT Pro subscription and access to Operator. Key constraints are slow interaction speeds (1-2 seconds per click/scroll) and inefficiencies in tool selection (e.g., 5 minutes wasted finding spreadsheet options). Source reliability is low as the original Reddit post is inaccessible (HTTP 403), and the reported outcome involved hallucinated data. Human approval is mandatory for any data used in business contexts..
Tools
Published on Agent Work Atlas:
Overview
The poster had Operator search the web for a work task; it made mistakes and would have taken longer than doing it manually.
Workflow
Suggested implementation: Use OpenAI Operator with a ChatGPT Pro subscription to execute a browser task: find 50 financial YouTubers, gather LinkedIn info, emails, and channel summaries, and compile them into a table. Operator autonomously browses via Bing, visits pages, and attempts spreadsheet integration. Human role: Define the task scope, monitor progress, and critically verify all generated data against original sources before use.
Reported result
In the reported case, Operator produced only 18 influencer entries after 20 minutes. While the table format was correct, the LinkedIn details and email addresses were fabricated. The process was slower than manual execution and failed to meet the target volume or data accuracy. No verified success metrics exist for this specific workflow; a measurable acceptance check would require 100% data verification against public sources.
Human role
Source evidence is unavailable regarding specific human roles or manual intervention steps.
Limitations
Prerequisites include a ChatGPT Pro subscription and access to Operator. Key constraints are slow interaction speeds (1-2 seconds per click/scroll) and inefficiencies in tool selection (e.g., 5 minutes wasted finding spreadsheet options). Source reliability is low as the original Reddit post is inaccessible (HTTP 403), and the reported outcome involved hallucinated data. Human approval is mandatory for any data used in business contexts.
Try it
Act as a data research agent. I need you to use OpenAI Operator to find public contact information for [replaceable: 5 specific financial YouTubers]. For each, gather their channel name, subscriber count, and any publicly listed email or LinkedIn URL. Output the results in a CSV format with columns: Name, Subscribers, Email, LinkedIn, Source URL. First, perform a dry run on [replaceable: 1 sample YouTuber] and show me the output for confirmation. Do not proceed to the full list until I approve the format and accuracy. If data is not publicly available, mark it as 'Not Found' instead of guessing. Verify all emails against the official channel 'About' page. If you encounter login walls or CAPTCHAs, stop and report the issue. I will manually verify the final list before use.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.