Don’t let hype deceive you—most people aren’t suited to use OpenClaw

Author: Miles Deutscher, Crypto KOL
Translation: Felix, PANews

OpenClaw (formerly Clawdbot) is an open-source autonomous AI agent tool launched by developer Peter Steinberger. In early 2026, especially after the name was finalized, it quickly became popular, becoming one of the hottest projects in the global AI space. Behind the hype, it is worth considering whether OpenClaw is truly effective and suitable for most people. Crypto KOL Miles Deutscher believes that OpenClaw is not suitable for most people after using it for some time and suggests that beginners start with other tools. Here are the details.
I know the title of this article is ironic, since most of my AI workflows are built using OpenClaw. I post weekly discussions about it. I even created a series of articles called “Day X of Building My AI Team.”
But I still have to tell you: most people should not use it.
Before you criticize me, please hear me out. This is not an anti-OpenClaw article, but rather one against the hype. Too many content creators are promoting OpenClaw for traffic without telling you the truth. That is: there are better alternatives available now for most people.
Moreover, in the past week, the entire landscape has changed dramatically.
The Insider Information That Few Mention Behind the Hype
Here is the real experience of 90% of people using OpenClaw:
You see those viral tweets. You buy a Mac Mini. You install OpenClaw. You spend a weekend configuring the agent. You feel like a genius, about two days later. Then you realize you have no idea what to automate at all.
Your workflow is interrupted. Your agent malfunctions. You spend more time debugging than actually working. Now, you have a machine worth over $1,000 sitting on your desk, yet it can only perform tasks that a $20 monthly subscription service can accomplish.
I’ve seen this scenario play out dozens of times in direct messages (and with my friends/employees). The issue is not with the tool itself, but with the approach.
But no one in the OpenClaw community has noticed this.
While they are busy debugging agent configurations, Anthropic, Notion, and other companies have released a series of announcements that have fundamentally changed the game.
The Latest Announcements (and Why They Change Everything)
In the past few weeks, we have seen a series of announcements that genuinely alter the judgment of whether OpenClaw is suitable for most people. Here’s a rundown:
1. Claude Code - Remote Control (Mobile Version)
Anthropic launched a mobile version of Claude Code called “Remote Control.” You can simply scan a QR code on your terminal to control Claude Code through your iPhone or Android device.
No need for a Mac Mini, no VPS, no server, and no need to open a terminal on your desktop. You just send tasks via your phone, and Claude will automatically build in the background.
One major advantage of OpenClaw is the ability to access it via platforms like Telegram/WhatsApp/Discord—and the launch of Remote Control solves this problem for many users.
2. Claude Cowork Business Update
If Claude Code is designed for developers, then Cowork is for everyone. It’s a graphical user interface (GUI)-based intelligent assistant capable of performing actual work: not only answering questions but also executing multi-step tasks within your existing tools.
They recently added integrations with Slack, Figma, Canva, Box, and Clay. Additionally, they have released plugins for industries such as financial services, human resources, design, and private equity.
After Anthropic announced the financial plugin, a software industry ETF dropped 6% in a single day. On February 20, after the release of Claude Code Security, cybersecurity stocks plummeted that afternoon.
This speaks volumes about the market’s perception of this product.
For most people wanting to accomplish tasks with OpenClaw (research, document management, content workflows, data analysis), Cowork already meets about 80% of the demand.
3. Notion Agents
This feature has been underestimated until now, but it really shouldn’t be (especially for Notion users like me).
Notion has completely restructured its AI system into autonomous agents. These agents are not chatbots; they can autonomously execute multi-step workflows for over 20 minutes and have memory capabilities. They can connect to Slack, Google Drive, and GitHub, and you can set their execution times and triggers.
For knowledge work, such as project management, meeting preparation, research, content planning, and database management, Notion Agents have already surpassed most people’s OpenClaw configurations, and the entry barrier is nearly zero.
If your primary goal for using OpenClaw is “to manage my business and automate my workflows,” then honestly, Notion Agents are a solid entry tool.
4. Manus / n8n / Zapier
I won’t spend too much time on these tools (there will be more in-depth coverage later). But it’s clear: for basic automation tasks, such as email scraping, web searching, standard operating procedure (SOP) generation, and lead enrichment, these tools can currently handle it all.
If you haven’t maximized the capabilities of these tools, then you might not really need to buy a Mac Mini.
The Scalability Issue That No One Mentions
The OpenClaw community also overlooks a scalability issue.
Claude Code can scale infinitely in the cloud. More computing resources, more parallel tasks, greater performance—it grows with your needs. On the other hand, OpenClaw runs on your hardware. When you hit a hardware performance bottleneck, your only option is to buy another Mac Mini.
And it’s not just a scalability issue. Claude Code integrates directly with GitHub, VS Code, and Xcode through MCP. They have also recently released features like security scanning, lifecycle hooks, hot reloading, and inter-device session switching. This ecosystem is expanding weekly.
For most people, cloud-based tools are more practical.
The Advantages of OpenClaw
But OpenClaw still has unmatched advantages.

• Complete Local Control. Your data never leaves your machine. This is crucial for those handling sensitive business data, client information, or proprietary workflows.
• Complex Multi-Agent Orchestration. Running five dedicated agents that communicate, assign tasks, and operate as a coordinated system—cloud tools can’t currently do this. This is where OpenClaw truly leads over all other tools (and is still the primary reason for its continued use).
• Custom Agent Features. SOUL files, detailed configurations, agents that can deeply understand your business context—this level of customization is currently unattainable elsewhere.
• Autonomous Operation Around the Clock. Once set up correctly, your agents can run continuously without incurring subscription fees that eat into your profits. In the long run, if you prepare well in advance, OpenClaw can actually be more cost-effective.
• True Ownership. You own the entire tech stack, especially if you run local models.

If you have already invested time in building a suitable OpenClaw environment and have real and validated use cases, then you are still in a favorable position.
Given the various updates being released in the industry, my personal view on OpenClaw is as follows:
It’s a great tool, but it’s not the only tool. I use Claude Code to build specific models/workflows. I use Notion Agents for business automation. I even use GPT to formulate strategies.
Personally, I believe there is no one-size-fits-all solution. The best practice is to use specific tools for specific purposes. OpenClaw is particularly useful for me in automating data scraping and autonomous product iteration. But that’s entirely a personal choice.
So, what should you do?
If you are a complete beginner, here are some sincere suggestions:
Step 1: Start with Claude (choose the Cowork or Code version based on your technical level). Familiarize yourself with what AI agents can do in your specific workflows. Personally, I think this is the best starting point for 99% of people.
Step 2: Add Notion Agents and/or Manus/n8n for your knowledge work and basic automation. Test what is worth automating and what isn’t. This is a low-risk way to experiment with new workflows.
Step 3: When you genuinely feel that these tools are insufficient, OpenClaw will come into play. Because now you clearly know what you need it to do.
Most people start directly from Step 3 and then wonder why OpenClaw isn’t working for them.
Summary
OpenClaw is great for some people, and if you want to be at the forefront of AI, it’s absolutely worth a try.
However, the hype has led people to mistakenly believe that buying hardware and configuring agents is the way to leverage AI. That’s not the case. The right path is to first understand which areas need automation, use easy-to-use tools for testing, and only upgrade to OpenClaw when truly necessary.
I still use OpenClaw every day and still believe in it. But pretending it is a starting point for everyone is misleading the public.
Start with the tools mentioned above, gradually build up your comfort level, and then construct the machine.
That is the correct order. Most people have it backward.