“An AI agent that works for you, on your terms.”
Video lesson coming soon. We are recording high-quality walkthroughs for every module.
OpenClaw is an open-source AI agent platform that lets you run your own AI assistant through Telegram, connected to local or cloud AI models. This module covers what OpenClaw is, how it integrates with messaging platforms, what local models mean (and why they matter for privacy), and practical use cases for business owners and freelancers who want more control over their AI tools.
Understand what OpenClaw is and how it differs from ChatGPT or Claude
Know the difference between local AI models and cloud-hosted models
Design an agent workflow with appropriate human-in-the-loop checkpoints
Evaluate whether running your own AI agent makes sense for your business
Here's a taste of the hands-on work you'll do in this module.
Design a custom AI agent workflow for your business. You will define the agent's role, the tools it should access, the decisions it should make, and the humans-in-the-loop checkpoints. This is a planning exercise that gives you a blueprint for implementing an agent (whether with OpenClaw or another platform).
PREVIEW
Agent Name: Business Operations Assistant Role: Handle incoming enquiries and daily admin tasks Tools: Email, CRM, Calendar, Knowledge Base Workflow: 1. New enquiry arrives via email or form 2. Agent categorises by type (quote, support, general) 3. Agent drafts appropriate response using templates 4. Human reviews and approves response 5. Agent sends response and updates CRM 6. Agent schedules follow-up reminder
We use OpenClaw at Create & Grow Media as our internal operations assistant, accessible through Telegram on our phones. It connects to local AI models running on our own hardware, which means sensitive client data never leaves our network. The agent handles daily briefings, server monitoring alerts, and quick content drafts when we are on the go.
The Result
Having an AI agent accessible through Telegram means we can get instant answers and handle operational tasks from anywhere. The local model setup means zero ongoing API costs for routine queries, and client data stays private. It has become the central nervous system of our daily operations.
AI agent workflow designer
Local vs cloud model comparison exercise
Deliverable: A detailed AI agent workflow blueprint with roles, tools, decision points, and human checkpoints
Ready to work with AI agents?
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