Openclaw
Personal Project
About the Project
Openclaw is my personal AI agent framework. I built it on my own PC so it could run local models like Qwen Coder 2.5 alongside cloud calls to Claude and GLM when a job needed the upgrade. The whole thing lives on a Pop!_OS Linux install I dual-booted off my Windows machine, so the agent has its own isolated environment to operate in without sharing a session with the rest of my computer.
Eventually I migrated openclaw to its forever home: an older i7 Dell XPS 13 that sits on my desk doing one job. That's where it runs now, on its own hardware, on its own OS, with its own set of credentials.
Today openclaw posts to LinkedIn for me, fully manages my MushroomPro WordPress site (that project is openclaw's main public case study), and runs as a personal note-taking and feedback-loop system on the parts of my business I need to stay close to. It pulls in updates, surfaces what's drifted, and helps me catch the things I'd otherwise miss between weekly check-ins.
Most of what I know about agent design (where they break, where they're worth the credit spend, where they need a human in the loop) came from running this thing every day. I wrote up what I learned in the Minimax vs GLM retrospective and the Gemini vs Claude review.
Results
Related Posts
Building Openclaw: One Agent, Many Pipelines, Zero Mondays at a Blank Doc
Why I stopped trying to be consistent on my own and built an agent to run my owned-media operation instead. The boundary between me and Openclaw, and what it actually catches.
How My LinkedIn Account Posts Three Times a Week Without Me
The pipeline behind my Mon/Wed/Fri LinkedIn posts. The rubric that does most of the work, the banned-phrase list that saved the account, and what I still do by hand.

The Day My AI's 'Thinking' Ate 97% of the Token Budget
A debugging story about a pipeline that logged success and posted nothing. The culprit: a reasoning model that consumed almost the entire budget on intermediate thinking before the content tokens fired.

What a Spam Audit Taught Me About Shipping AI Content at Scale
I run [MushroomPro](/portfolio/mushroompro) through an agent-driven AI publishing pipeline. Then Google's spam patterns started flagging it. Here is the audit, the bugs I found, and the loop I run now.
Project Details
- Client
- Personal Project
- Year
- 2025-Present
- Tech Stack
- Pop!_OS LinuxQwen Coder 2.5ClaudeGLM 5.2Dell XPS 13