OpenAI's autonomous AI agent within ChatGPT that plans and executes multi-step tasks including web browsing, code execution, and file management.
Editor's take: “Industry-defining LLM, unmatched versatility and ecosystem” — Sohail Akhtar
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OpenAI's autonomous AI agent within ChatGPT that plans and executes multi-step tasks including web browsing, code execution, and file management.
Editor's take: “Industry-defining LLM, unmatched versatility and ecosystem” — Sohail Akhtar
Reviewed by Sohail Akhtar
Lead Editor & Founder
What we like
Limitations
| Plan | Details |
|---|---|
| Free | ChatGPT Agent is not available on the ChatGPT free tier. |
| Paid | Available to ChatGPT Pro subscribers at $200 per month with expanded agent usage. ChatGPT Plus subscribers at $20 per month receive access with defined monthly agent task limits. ChatGPT Team plan provides organizational access with shared usage limits. Enterprise pricing is available from OpenAI. |
ChatGPT Agent is available to ChatGPT Pro subscribers at $200 per month, ChatGPT Plus subscribers at $20 per month with defined agent usage limits, and ChatGPT Team subscribers. Pricing is listed on the OpenAI website.
Quick Summary
ChatGPT Agent is an autonomous AI capability within the ChatGPT platform from OpenAI that enables the system to plan and execute multi-step tasks independently, including web browsing, code execution, file management, data analysis, and form completion, without requiring the user to guide each individual step. It is designed for professionals and power users who want to delegate complex research, data processing, and workflow tasks to an AI system that can see them through to completion. ChatGPT Agent is available to ChatGPT Pro, Plus, and Team subscribers.
Associated Tags
autonomous AI agent, OpenAI ChatGPT agent, multi-step task automation, AI research automation, ChatGPT agentic mode
Who should use ChatGPT Agent?
Discover practical workflows and real-world scenarios where ChatGPT Agent delivers key solutions.
Delegating a multi-source web research task and receiving a consolidated structured report without manually visiting each source
Automating a data processing workflow that requires writing and running Python code, reading input files, and generating output reports
Conducting competitive analysis across multiple websites with findings compiled into a formatted document
Preparing presentation outlines or briefing documents by having the agent gather, synthesize, and structure information from multiple inputs
Automating repetitive document management tasks such as renaming, organizing, or extracting data from uploaded files
Running iterative data analysis tasks where the agent adjusts its approach based on intermediate results and user feedback at checkpoints
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