Author: Miles Deutscher, Crypto Influencer
Translation: Felix, PANews
OpenClaw (formerly Clawdbot) is an open-source autonomous AI agent tool developed by Peter Steinberger. By early 2026, especially after its name was finalized, it quickly became a sensation and one of the hottest projects in the global AI community. Behind the hype, it’s worth questioning whether OpenClaw is truly user-friendly and suitable for most people. Crypto influencer Miles Deutscher has used OpenClaw for some time and believes it’s not suitable for the majority, recommending beginners start with other tools. Here are the details.
I know the title of this article sounds sarcastic, since most of my AI workflows are built using OpenClaw. I post about it weekly. I even created a series called “Day X of Building My AI Team.”
But I still have to tell you: most people shouldn’t use it.
Before criticizing me, hear me out. This isn’t an anti-OpenClaw article, but a critique of the hype. Too many content creators chase after OpenClaw for traffic without telling the truth—that for most people, there are better alternatives now.
And in the past week, the landscape has changed dramatically.
The Hidden Truth Behind the Hype
Here’s the real experience of 90% of users of OpenClaw:
You see those viral tweets. You buy a Mac Mini. You install OpenClaw. You spend a weekend configuring proxies. You feel like a genius after about two days.
Then you realize you have no idea what to automate.
Your workflow gets interrupted. Your proxy program malfunctions. You spend more time debugging than working. Now, you have a machine worth over $1,000 sitting on your desk, but it can only do work that a $20/month subscription service can handle.
I’ve seen this happen dozens of times in private messages (and with my friends/employees). The problem isn’t the tool itself, but the approach.
But no one in the OpenClaw community seems to notice this.
While they’re busy tweaking proxy configurations, Anthropic, Notion, and other companies have released announcements that completely change the game.
Latest Announcements (and Why They Changed Everything)
In recent weeks, a series of announcements have truly shifted perceptions about whether OpenClaw is suitable for most people. Here’s a breakdown:
1. Claude Code – Remote Control (Mobile Version)
Anthropic launched a mobile version of Claude Code called “Remote Control.” You just scan a QR code on your device to control Claude Code via iPhone or Android.
No need for Mac Mini, VPS, servers, or terminal windows on your desktop. Just send tasks from your phone, and Claude will build in the background.
One major advantage of OpenClaw is access via platforms like Telegram, WhatsApp, or Discord—and the launch of Remote Control solves this for many users.
2. Claude Cowork Updates
If Claude Code is aimed at developers, Cowork is for everyone. It’s a GUI-based intelligent assistant capable of completing real tasks: not just answering questions but executing multi-step workflows within your existing tools.
Recently, they added integrations with Slack, Figma, Canva, Box, and Clay. They also released plugins for finance, HR, design, and private equity industries.
After Anthropic released a finance plugin, a software industry ETF dropped 6% in a single day. On February 20, after Claude Code Security was launched, cybersecurity stocks plummeted in the afternoon.
This shows how much the market values this product.
For most people, OpenClaw’s typical tasks—research, document management, content workflows, data analysis—are already 80% covered by Cowork.
3. Notion Agents
This feature has been underestimated, but it really shouldn’t be—especially for Notion users like me.
Notion has restructured its entire AI system into autonomous agents. These aren’t chatbots; they can independently execute multi-step workflows over 20 minutes and have memory functions. They can connect to Slack, Google Drive, GitHub, and you can set their execution times and triggers.
For knowledge work—project management, meeting prep, research, content planning, database management—Notion Agents already outperform most OpenClaw configurations, and the barrier to entry is nearly zero.
If your main goal with OpenClaw is “manage my business and automate workflows,” then honestly, Notion Agents are a good starting point.
4. Manus / n8n / Zapier
I won’t spend too much time on these tools now (more in-depth content coming later). But it’s obvious: for basic automation—email scraping, web searches, SOP generation, lead enrichment—these tools are sufficient.
If you haven’t maximized these tools’ capabilities, you probably don’t need to buy a Mac Mini.
Overlooked Scalability Issues
The OpenClaw community also ignores a scalability problem.
Claude Code can scale infinitely in the cloud—more computing resources, parallel tasks, better performance—it grows with your needs. OpenClaw runs on your hardware. When you hit hardware performance limits, your only option is to buy another Mac Mini.
And it’s not just about scalability. Claude Code integrates directly into GitHub, VS Code, and Xcode via MCP. They recently added features like security scanning, lifecycle hooks, hot reload, and device session switching. This ecosystem expands weekly.
For most people, cloud-based tools are more practical.
OpenClaw’s Advantages
But OpenClaw still has unmatched advantages:
- Complete local control. Your data never leaves your machine. Critical for handling sensitive business info, client data, or proprietary workflows.
- Complex multi-agent orchestration. Running five interconnected, task-distributing agents as a coordinated system—something cloud tools currently can’t do. This is where OpenClaw truly leads (and why I still use it).
- Custom agent features. SOUL files, detailed configurations, agents that understand your business deeply—such features are not easily replicated elsewhere.
- 24/7 autonomous operation. Once properly set up, your agents can run around the clock without subscription costs eating into your profits. In the long run, if you prepare well, OpenClaw can be more cost-effective.
- True ownership. You own the entire tech stack, especially if you run local models.
If you’ve invested time building a suitable OpenClaw environment with real, proven use cases, you’re still in a good position.
But given the industry’s latest updates, my personal view on OpenClaw is:
It’s a great tool, but not the only one. I use Claude Code for specific models/workflows, Notion Agents for business automation, and even GPT for strategy.
In my opinion, there’s no one-size-fits-all solution. The best approach is to use specific tools for specific tasks. OpenClaw is especially useful for me in automating data scraping and autonomous product iteration—but that’s a personal choice.
So, what should you do?
If you’re starting from zero, here are my sincere recommendations:
- Start with Claude (choose Cowork or Code based on your skill level). Get familiar with what AI agents can do in your workflow. I believe this is the best starting point for 99% of people.
- Add Notion Agents and/or Manus/n8n for your knowledge work and basic automation. Test what’s worth automating and what’s not. It’s a low-risk way to experiment with new workflows.
- When you find these tools aren’t enough, then turn to OpenClaw—because now you know exactly what you need it for.
Most people jump straight to step three and wonder why OpenClaw doesn’t work well.
Summary
OpenClaw is excellent for some, and if you want to stay at the forefront of AI, it’s definitely worth trying.
But hype has led many to believe that buying hardware and configuring agents is the way to leverage AI. That’s not true. The right approach is to first identify which parts need automation, test with easy-to-use tools, and only upgrade to OpenClaw when truly necessary.
I still use OpenClaw daily and believe in it. But pretending it’s everyone’s starting point is misleading.
Start with the tools above, get comfortable, then build your machine.
That’s the correct order. Most people get it backwards.
