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Session 2 — March 26, 2026
Before we get our hands dirty, let's revisit the key ideas from Session 1.
The LLM is the brain — it thinks and reasons. The extensions are the hands and arms — they take action across your tools. OpenClaw is the body that connects them.
Claude Code is great for software engineering. OpenClaw is an open, cross-platform agent — works with any LLM, connects to any tool, runs anywhere.
Confidentiality, Integrity, Availability — the framework for every security decision with AI.
OpenClaw, Claude Code, Codex, Cursor — same core skills, different form factors.
Cloud, hybrid, or fully local — each with tradeoffs in cost, privacy, and availability.
OpenClaw is powerful, but running it on cloud APIs gets expensive fast — and you're at the mercy of providers. Here's why local matters.
OpenClaw eats tokens fast. Before you know it, you're spending $100–$200. Local models = zero API costs.
Everything stays within your network. Nobody else can see your data. No third-party LLM sees your conversations.
Cloud goes down, credits run out, providers ban personal plan usage. Local keeps running no matter what.
Running OpenClaw has two parts: where OpenClaw runs and where the AI model runs. These can be in different places.
OpenClaw on a server (Render, VPS) → calls cloud AI (OpenAI, Claude, Gemini). Easiest setup.
OpenClaw on your Mac Mini at home → calls cloud AI APIs. Your agent is local, but it uses cloud models.
OpenClaw on your machine → local LLM via Ollama. Zero cloud dependency. Maximum privacy.
We have $50 in free Render credits for everyone — that's about 2 months free. We'll walk through every step together.
Get your cloud agent running
Help each other get set up. If you're done, try giving your agent a task. Share what worked in the doc.
Think of Ollama as the app store for AI models on your computer. Instead of paying for ChatGPT or Claude, you download open-source AI models and run them for free on your own machine.
It's like having your own private ChatGPT — no internet needed, no subscription, and your data never leaves your computer.
No API costs, no subscriptions. The AI runs on your hardware.
Your data stays on your machine. Nothing is sent to the cloud.
One command or one download. Works on Mac, Windows, and Linux.
The beginner local setup is everything on one machine. Install Ollama, download a model, then install OpenClaw through Ollama.
Run this to download and test the recommended model:
It will download (~6 GB) and start a chat. Type hi to test it works. When you're done, type /bye to exit.
⏱ Heads up: The download takes ~3 minutes on a fast connection, but may take longer depending on your internet speed. Be patient!
Once the model works, launch OpenClaw through Ollama:
Choose qwen3.5:9b when it asks which model to use. When it's running, it should look like this:
It also gives you a Web UI link you can open in your browser:
Your URL and token will be different! Copy the exact URL from your own terminal — the port and token are unique to your machine.
This is the hardest part of running locally. It's a balance between speed and quality. Use LM Studio to test models, then run the best one in Ollama.
| Model | RAM | Speed | Quality | Best For |
|---|---|---|---|---|
| QQwen 3.5 9B | 8 GB | Good | Great | Start here |
| QQwen 3.5 27B | 24 GB | Medium | Excellent | Powerful machines |
| GGemma 3 12B | 12 GB | Good | Great | All-rounder, images |
Llama 4 Scout 8B | 8 GB | Fast | Good | Low-power machines |
DeepSeek R1 14B | 16 GB | Medium | Excellent | Complex reasoning |
| Model | How to Use | Quality | Cost |
|---|---|---|---|
Kimi K2 / K2.5 | ollama run kimi-k2:cloud | Top-tier | Free via Ollama |
| OOpenAI (GPT-5) | API key from platform.openai.com | Top-tier | Pay per use |
| AAnthropic (Claude) | API key from console.anthropic.com | Top-tier | Pay per use |
| GGoogle (Gemini) | API key from aistudio.google.com | Excellent | Free tier available |
You can mix and match — use a free local model for everyday tasks and switch to a cloud model when you need higher quality.
After installing, you can customize your setup at any time by running:
This shows your current settings and lets you change them:
| Option | What It Means | Choose When |
|---|---|---|
| Local (this machine) | OpenClaw runs right here on this computer | This is your main machine — most people choose this |
| Remote (info-only) | Connect to an OpenClaw running on a different machine | You have OpenClaw on another computer and want to control it from here |
Get your local agent running
Work through the installation steps. Help your neighbors. If you're stuck, share the error in the doc — someone probably hit the same thing.
Now that your agent is running, let's put it to work. These prompts are based on what you said you wanted to build last week. Click the copy button on any prompt and paste it into your agent!
Write me a morning briefing for today. Include the top 5 AI news stories, a summary of what's trending in tech, and 3 interesting events happening in the Bay Area this week. Format it as a short email I can skim in 2 minutes.
Research the current state of AI agents for small businesses. Find the top 5 platforms, compare their pricing, and tell me which one is best for a team of 3-5 people who want to automate customer follow-ups and scheduling. Give me a comparison table.
Write a LinkedIn post about what I learned at an AI agents workshop tonight. The key takeaway is that AI agents are different from chatbots because they can take action across your tools, not just answer questions. Keep it under 200 words, professional but conversational. Add 3 relevant hashtags.
Draft a follow-up email to a potential client I met at a networking event last week. Their name is [NAME] and they run a [TYPE] business. I want to offer a free consultation about how AI can help them automate their workflow. Keep it short, warm, and not pushy.
I need to schedule a 30-minute intro call with 3 startup founders next week. Draft an email asking for their availability Tuesday through Thursday, 10am-4pm PST. Include a brief agenda: introductions, what they're building, and how we might collaborate.
Find 5 open positions in venture capital or private equity that value AI and data skills. For each one, give me the company name, role title, location, and a 1-sentence summary of why it might be a good fit for someone with a business + AI background.
What did your agent do for you?
Share the task you gave it, what it produced, and what surprised you. What would you try next?
An agent that can only talk to you in a terminal isn't that useful. Let's connect it to the tools you actually use.
Message your OpenClaw agent directly from WhatsApp on your phone:
If you see "web login provider is not available": the WhatsApp plugin isn't installed yet. The command above will prompt you to install it — choose "Download from npm".
gog CLI)Connect Gmail, Calendar, and Drive using the gog CLI — created by the creator of OpenClaw.
In Session 3, we'll connect your agent to messaging channels, data sources, and tools so it can work in the real world.
Setup is the hardest part — but you only do it once. After that, your agent is ready to use every day.
The install and configuration might feel hard, but you only do it once. After today, your agent is ready to go whenever you need it.
If you're running locally, turn off sleep mode and low power saving. Your agent needs the computer to stay on to keep working.
For local: test different models to find the right balance of speed and quality for your machine. For cloud: start with whatever the default is, you can always switch later.
Tip: Use LM Studio to test different open models on your hardware before committing. It lets you quickly try out models, compare speed & quality, then run the best one in Ollama.
Today we showed Google Drive via gog. Next week we'll connect Telegram, WhatsApp, Notion, and more — that's when it gets really powerful.
This happens when your OpenClaw version is too old to work with Ollama. The fix is simple — update OpenClaw:
You now have a running AI agent. Next week, we go deep on connecting it to the tools and channels you use every day.
April 2 — Full walkthrough of connecting your agent to the real world:
April 9 — Build modular skills, persistent memory, and automated workflows that run without you.
Your feedback shapes every future session. See you on April 2!
Have any questions? Drop them in the Zoom chat.