OpenClaw: Smart Choice or Passing Fad?
The old MacBook had been repurposed into an always-on server, running scripts that automate daily routines with clockwork precision. But traditional automation is rigid, and the appeal of something more adaptable has grown. OpenClaw has been on the radar for months, and the question lingers: dive in or chase last season's trends?
The latest headache involved integrating Home Assistant, run foolishly in a VM on that 2017 Intel MacBook. It worked for about a week, until the virtual machine's resource hogging turned the laptop into a small heater. Overheating triggered iCloud sync failures, and since productivity depends on Obsidian notes written straight from the scripts, the failure cascade brought the whole setup crashing down. The lesson: swap the MacBook for a Raspberry Pi dedicated to Home Assistant. It has run smoothly since.
Now, about OpenClaw and agentic workflows. The hype was intense, but watching from the sidelines has been the safer play. Surveying the collection of "dumb" automations—scripts doing basic tasks like logging data—it's clear they can't handle nuance. Adding a layer of reasoning with an LLM agent could change that: an automation that doesn't just write a timestamped note in Obsidian but understands the context of the day and categorizes it automatically, no more rigid if-then rules.
The catch is stability and hardware. Running local models or relying on API connections demands serious VRAM or reliable internet. Another runaway process overloading the server and breaking remote file access is a risk not worth taking. Is OpenClaw a hobbyist project to tinker with on evenings, or does it require a dedicated, robust server setup to be useful? The itch for more intelligent automation is real, but not at the cost of a fragile home lab.
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I'm skeptical about these profits too—has anyone actually made money from the core protocol, or is it all hype? I get the appeal, but after my own struggles with automation, I’m hesitant to jump in without a solid plan. For example, I wasted weeks trying to run Home Assistant in a VM on my old MacBook, only to watch it turn into a space heater and crash my entire workflow. The fix? A dedicated Raspberry Pi—now it runs like clockwork. If OpenClaw or similar tools can actually replace rigid scripting with something more dynamic without requiring a high-end machine, maybe it’s worth exploring. But until I see real-world examples of people monetizing it—or at least avoiding hardware nightmares—I’ll stay cautious.
Driver issues are a nightmare. Are you running your automation on bare metal or leveraging a container—like a lightweight Docker setup—to ensure stability and avoid resource hogs, as I did with my Raspberry Pi for Home Assistant? The switch from a VM to a dedicated hardware unit saved my setup from crashing mid-workflow.
Total hype. Try pairing Grok Bot with Tailscale for a faster workflow, and swap out the MacBook for a Raspberry Pi dedicated to Home Assistant. Is n8n still the better choice?