Most AI assistants either burn through your wallet (some spent hundreds a day) or feel like diet versions of the real thing (Gemini, powerful yet restrictive). OpenClaw with GLM-5 changed that math for me.

I've been running it for the past few weeks, and here's what actually matters: predictable costs, extensible skills, and a setup I can audit without wondering what's happening behind the scenes, especially with ocean of security concerns.

In the article, I’ll go over my use case of using OpenClaw as my personal assistant, high-level setup, the great and the ugly sides of OpenClaw.

The Stack

The Host

I use Hostinger VPS to host OpenClaw. You can use an old laptop with no access to your personal accounts, but I had some Hostinger credits from my abandoned n8n projects, so I reformatted it with OpenClaw image. Easy setup process.

$5 per month (KVM1 is more than enough for normal usage). Get another 20% of discount via my referral link.

The Brain

I'm using zai/glm-5 as my primary model in OpenClaw.

GLM-5 is an open source model that punches way above its weight. Fast enough for real-time responses, smart enough to handle context switching across tasks, and cheap enough that I don't think twice about using it. Best of all, it has a predictable subscription pricing instead of using Claude/OpenAI’s API usage-based pricing.

Cost breakdown: around $9/month for Lite, but I opted in for Pro, anticipating slightly heavy usage. I have it summarize my newsletters and do research for me, and it takes up about 80% of my quota during my first week.

Get another 10% off with my referral link.

The Communication

I tried Whatsapp and Telegram, but ended up using Discord instead. It helps that I already have Discord desktop app, and I don’t want Bob (my AI Assistant) to have my phone number 😇.

Pro tip 1: During onboarding, I gave Bob as much information about myself as I can so Bob really “knows” me. Throughout chat, I also ask Bob to save my interests to memory. The more personalized the assistant is, the more useful. You can also ask to be proactive or surprise you. In some extreme cases, I’ve been some bots building a new app every night, or replies to your emails for you.

Pro tip 2: For security reasons, I created a separate email just for Bob so it doesn’t go out and ruin my life. Of course, the less access, the less useful Bob is, so be careful and balanced.

As you’re onboarding, I also asked Bob to make security his core memory and principle. As you can tell, I’m seriously paranoid!

Skills: The Game Changer

OpenClaw's skill system is what makes this whole thing work. I'm pulling from VoltAgent/awesome-openclaw-skills, which has 2,500+ cleaned-up community skills across every category you'd need.

The catalog is massive:

I don’t even know what most of them do. I simply ask Bob to cherry-pick what matters for my workflow as an executive assistant setup.

High Priority Skills Bob Picked for me:

Before adding any Skill, I vet it. I ask Bob to read the SKILL.md file, check what it actually does, and make sure I'm not importing something sketchy. Be careful of using any random Skill because some could be malicious and designed to retrieve your personal information.

Real Use Case: Taming 30+ Daily Newsletters

I subscribe to 30+ newsletters. Tech, AI, startups, product management. They pile up every morning like homework I actually want to do but never have time for.

Here's the problem: I can't just ignore them. These newsletters contain signals for me to stay on top of trends. Product launches. Industry shifts. AI destroys jobs. But reading them all takes 20+ minutes I don't have.

The Workflow I Built:

Step 1: Set up Gmail OAuth access (this was the annoying part, but only had to do it once)

  • Created an OAuth app in Google Cloud Console

  • Downloaded the credentials.json file

  • Ran through the OAuth flow to get my oauth.json token

  • Fed the oauth.json file to OpenClaw's Gmail skill

Step 2: Configure the newsletter digest workflow

  • Fetch unread emails from specific newsletter senders

  • Extract key points from each using Gemini, which requires its own configuration and API key

  • Cluster similar topics

  • Generate a single digest with sources and links

Step 3: Run it every morning at 7am

It’s pretty magical. What used to take 45 minutes of skimming now takes 5 minutes of review. I'm not missing important signals, and I'm not drowning in redundant coverage of the same news.

The best part about this is Bob knows me even more now, because it knows what I read.

Personality: Bob Has Opinions

Bob has more personality than I expected. In fact, I could have given it more personality if I wanted to during onboarding (or edit SOUL.md file). When I uploaded my resume so it knows me better, Bob's response was:

😂 It's not trying to be a corporate chatbot with canned enthusiasm. It reacts like a human collaborator who actually looked at what you sent.

This kind of interaction matters more than you'd think. When you're triaging 100+ emails at 11pm, having an assistant that feels like a person instead of a FAQ bot keeps you engaged.

Why This Works for Me

Three reasons:

  1. Cost predictability: $14/month vs. $20-100+ with when using API key

  2. Extensibility: 2,500+ skills I can audit and add as needed

  3. Control: I know what's running (I gave Bob its own email inbox), what it costs, and what it's doing with my data

I'm not saying OpenClaw is perfect. The skill ecosystem is still maturing, and you need to be comfortable setting up OAuth apps, hooking up API keys, and possibly spend money on peripheral skills. But if you're a builder who wants an AI executive assistant without the vendor lock-in and extreme customization, this setup is worth trying.

GLM-5 is fast, capable, and open source. OpenClaw is extensible and transparent. Together, they're a stack that is powerful and cost efficient.

The Catch: OpenClaw Isn't for Everyone

Real talk: OpenClaw isn't worth the setup for most people.

To get it running as an executive assistant, I had to:

  • Hook up my own LLM provider (not hard, but another account and API key)

  • Create OAuth apps for Gmail and configure oauth.json files

  • Set up browser automation for web search (extra cost)

  • Go through thousands of unvetted Skills

If you just want a flexible AI assistant that works out-of-the-box, Manus is a better option. Everything comes in one package. No assembly required. No hunting down API keys. No creating OAuth apps in Google Cloud Console. No reading SKILL.md files.

OpenClaw is like building your custom home from scratch. Manus is buying a pre-built home and customizing the cabinets and flooring.

I'll write a full comparison on pros and cons. For now, know this: OpenClaw is powerful, but it's not plug-and-play. If that trade-off doesn't excite you, skip the setup and use something that just works.

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