ChatGPT vs OpenClaw

ChatGPT Agent is a mode inside ChatGPT that can reason, research, and take actions for you.

Instead of only answering questions, it can use tools like the browser, uploaded files, connected apps, and spreadsheets to complete more complex tasks.

When I tested agent mode, I was honestly quite disappointed. When I compare it to something like Viktor where there's absolutely no setup, no prompting, no procedure to write (it just KNOWS what it needs to do), ChatGPT Agent felt like what I used 1-2 years ago with other AI employee tools.

The result? I haven't continued to use it after the first day.

That said, if you're already paying for ChatGPT Plus or Pro, it doesn't hurt to experiment. You can build something useful for a narrow, repetitive task.

But if you're looking for an AI agent that actually joins your team, takes proactive action, and doesn't need you to hold its hand? You'll want something purpose-built for that.

• Chat interface makes it easy to use
• Agent templates give you a starting point without building from scratch
• If you're already paying for ChatGPT, agents are included, no extra cost to experiment

• Not proactive. You always have to go to it and prompt it, which defeats the purpose of an "agent"
• Setup is clunky: you have to write SOPs, connect apps, configure everything manually
• Everything lives inside a chat interface, which limits how agents can interact with your actual workflow
• The whole experience felt like where the AI agent space was a year or two ago — not the future

ChatGPT now lets you create agents by chatting with it. You describe the role, connect apps (Slack, Google Drive, Gmail, Linear, and more), upload reference files, and define how the agent should behave.

It's essentially giving ChatGPT a job description and standard operating procedure.

While you have templates as a starting point, we found the actual outcomes a lackluster and did not end up incorporating it into our workflow.

Codex is where things get more interesting from an agent perspective, specifically for engineering teams. It can work through coding tasks autonomously and return pull requests.

But it's built entirely to code. It's not going to help your marketing team draft content, give your CEO a cross-department report, or manage follow-ups across your business.

• Free: $0. Limited access to GPT-5.5, no agent mode. Fine for trying ChatGPT as a chatbot, but you won't get agent capabilities here.
• Plus: $20/mo. Includes agent mode, Deep Research (10/mo), Codex, and Sora. This is where most people should start if they want to experiment with ChatGPT agents. The 40-message agent limit can feel restrictive if you're a heavy user.
• Pro: $100/mo or $200/mo. Higher usage limits (5x or 20x Plus), GPT-5.5 Pro, and up to 1M-token context at the $200 tier. Worth it if you're hitting Plus limits daily, but that's a steep price for agent capabilities that still require manual setup.
• Business: $20–$25/seat/mo. Team workspace with admin controls, SSO, and no training on your data. Agent mode included. Makes sense for teams already using ChatGPT who want to standardize across the company.
• Enterprise: Custom pricing, 150-seat minimum. Full governance, HIPAA, audit logs. If you're at this scale, you're likely evaluating dedicated AI agent platforms alongside ChatGPT anyway.

OpenClaw is an experimental AI agent that can do tasks for you. Unlike ChatGPT or Claude, it can take actions across anything on your device. Your folders, your browsers, tools, etc.

However, it coms with serious security risks. Being upfront, I have not personally installed OpenClaw on any of my own devices. I’ve spoken to a lot of people who have used it, including my father, who has worked in cybersecurity for over two decades and has installed it 6 or so times by now (more about his experience in our full OpenClaw Review).

The consistent theme from everyone I trust is this: no one feels fully confident that their setup is actually secure.

Right now, the risk just doesn’t match the reward.