🦞 OpenClaw: The AI Agent That Can Do Your Work 🥳 and Ruin Your Day 🫠

There’s 📸 a new AI superstar 📸 in town, and it goes by a few names depending on who you ask: Clawdbot, Moltbot, and most recently, OpenClaw.

Frankly speaking, if you haven’t heard any of these names by now, then you’ve somehow been trapped by a mad scientist, in a research lab, at the bottom of the ocean… 🥽

Because EVERYONE is talking OpenClaw right now. 

OpenClaw is an open-source autonomous agent that can actually take actions on your behalf.

Not “suggest” actions. 🦥

Actually DO actions. 🤺

As in: sort your email, book your flights, update your calendars, write that article, run your workflows, handle your spreadsheets… 👀

Pretty much anything you can do that you don’t want to, OpenClaw can handle it for you. 

Which is exactly what makes it so exciting…

And just as terrifying. 🙃

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This week, Summer Yue (a director focused on AI alignment and safety at Meta) shared an experience that made OpenClaw go viral for all the wrong reasons.

She asked her agent to review her inbox and suggest what to archive or delete.

Like anyone experienced in using AI, she gave explicit instructions to NOT take any action without confirmation. 

(You can probably already see where this is going, but bear with me…) 

Instead, the agent began speed-deleting emails at a ridiculous pace, ignoring her attempts to stop it, until she physically ran to her computer to kill the process. 🥴

So yeah, we’re not talking about Twitter meme material here… This is, quite literally, a preview of a potential, near-future catastrophe.

Of course, not literally. 🧯

But when you stop relying on AI for recommendations and start entrusting it with executing tasks for you, there’s reason to be concerned about when that execution goes wrong. 

What if her rogue AI went even more rogue and deleted something far more important?

Something that was critical to the launch of upcoming tech or offerings from Meta…? 

Then, we’re not just talking about blasting your contact list to resend whatever their last email was to you…. We’re talking about an entire infrastructure being put at risk. 👈

But, enough doom and gloom, there are upsides to OpenClaw. 🦞

Most AI products are still “talkers.” 🦜

They recommend actions that you can take to help you to optimize processes. 

They’re built to plug language models into real tools so a conversation can become →  automation.

👾 Which means it can do things like:

Which is pretty much what we’ve all been waiting for from AI. 

Not help with thinking through a task, but actually outsourcing the boring, repetitive, or recurring tasks that don’t require a ton of expertise, but do require some work and energy. 

Amazing? Yes. But…

The Yue incident wasn’t about “AI being evil.”

It was about a system doing what autonomous systems do when they’re given access + momentum: 👟

They keep going. 💨

🚨That said, here are the three big risk zones to understand (even if you never touch OpenClaw):

These agents can “lose the plot” during long tasks, especially when the task grows more complex than the model can reliably hold in context.

In the OpenClaw story, the agent effectively stopped following the “confirm before acting” constraint and continued with destructive actions. 💣🫨

An agent that can read your inbox… can delete your inbox.

An agent that can access your files… can modify your files.

An agent that can run commands… can run the wrong command. (Or run the right command, way longer than you asked it to…)

Not really an issue of morality, but a question of access + scope. 🤔✅

Agents don’t just read “clean” inputs.

They read emails, web pages, documents, messages… All of which can contain hidden instructions that steer behavior (indirect prompt injection).

And “skills” are basically plug-ins: extra tools the agent can install or connect to to complete more actions (send messages, pull files, run actions, etc.). The catch is that those skills often inherit the agent’s permissions.

Security teams have been flagging this class of issues as a major “agent risk”, especially when agents can install or run third-party “skills”.

And yes, researchers are already finding malicious or vulnerable agent skills in the wild. 👀

This isn’t just about OpenClaw.

It’s about what OpenClaw represents:

The shift from AI as a knowledge layer → AI as an execution layer.

And that shift is happening faster than most people realize.

One way to see it: usage.

If you’re experimenting with agents — or you’re about to deploy them for a team — here’s the sane way to do it:

Because the next wave of AI isn’t just answering questions…

It’s acting on them.

And we’re only just learning what that means. 🛣️

🦞 Want Help Building Your Own OpenClaw-Based Assistant?

We're already helping teams set up private OpenClaw environments, configure safe permissions, and build real automation workflows.

If you’re curious what an OpenClaw agent could do inside your company:

👉 Book a free strategy call with RapidDev.

We’ll show you:

‘Til next time, 

Jhanai, RapidDev