Personal AI Agents with OpenClaw and Codex is a hands-on course in setting up an always-on personal AI assistant that you message through Telegram or LINE, with scheduled routines, email and calendar access, Codex for file work and sensible security controls. It suits professionals, business owners and power users, and you leave with a working assistant for your own routine tasks.
Chat-based AI assistants answer questions well, but they still wait for us to open the app and type a request every time. Routine work such as summarising the morning's email, reminding us of appointments, following news on topics we care about or tidying the weekly report files stays on our plate. A new generation of personal AI agents such as OpenClaw runs on our own machine around the clock, takes instructions through the chat apps we already use, remembers the context of our work and acts on a schedule by itself, while OpenAI's Codex works methodically on files, documents and scripts on the computer.
This course has learners set up a working personal AI assistant in a single day. They install OpenClaw, choose a model that fits their budget, connect it to Telegram and LINE, define its memory and role, set up routine jobs with cron and webhooks, and connect email and calendar through skills. They then use Codex for file work and scheduled automations, and learn the security measures that an always-on agent with access to personal data requires. The course closes with each learner designing an assistant for their own work. (1 day, 6 hours, Beginner to Intermediate level.)
What you’ll gain
Understand the difference between chatbots, AI agents and always-on personal agents
Install and configure OpenClaw and choose a model that suits the work and the budget
Connect OpenClaw to Telegram and LINE to give it instructions from your phone
Define memory, role and rules so the assistant works the way you need
Set up automated routine jobs with cron and webhooks
Connect email and calendar through skills with only the permissions required
Use Codex for files, documents and scripts, and set up automations
Guard against prompt injection, untrusted skills and data leaks
Who this course is for
Professionals with repetitive routine tasks who want an AI assistant that works for them around the clock
Business owners and freelancers juggling email, appointments and many follow-ups at once
IT teams and power users who want to trial personal agents before bringing them into the organisation
Existing ChatGPT or chat AI users who want to move to AI that takes action on its own
Prerequisites
Confident computer use, able to install software and use the command line at a basic level
A ChatGPT plan that includes Codex, or an API key from an AI model provider
A Telegram or LINE account, plus email and calendar accounts for testing; test accounts are recommended
A Windows, macOS or Linux laptop with permission to install software
Curriculum
Course Details
The course runs for 1 day, 6 hours (09:00-16:00), with learners building their assistant step by step alongside the trainer. Beginner to Intermediate level. Unlike AI Agents for Business, which designs agents for business processes, this course focuses on a personal assistant that learners install and run themselves. OpenClaw is free and open source, but learners pay for model usage through their own ChatGPT plan or API key. Codex is available according to the learner's ChatGPT plan. Running the assistant around the clock needs a spare machine or a VPS at the learner's own cost. Test email and calendar accounts are recommended during the course. Learners take home the course handbook, sample configuration files and prompts, and a security checklist.
Day 1: Setting Up a Personal AI Assistant That Really Works
Section 1What Is a Personal AI Agent
How chatbots, AI agents and always-on personal agents differ
OpenClaw: a gateway on your own machine that connects AI to chat apps, tools and scheduled jobs
Codex: OpenAI's agent for hands-on work with files, code and documents
Tasks that suit an agent, and tasks you should not yet leave to one
Section 2Lab: Installing OpenClaw and Choosing a Model
Where to run it: your own computer, a spare machine or a VPS, with the pros and cons of each
Install with the official script and complete the onboarding setup
Choose a model: sign in with a ChatGPT account, use an API key or run a local model through Ollama
Lab: open the dashboard, check the status and talk to your assistant for the first time
Section 3Lab: Giving Instructions through Telegram and LINE
Create a Telegram bot and connect it to OpenClaw
Install the LINE channel plugin, connect through the Messaging API and enable an HTTPS webhook
Limit who can give instructions with an allowlist and group mention rules
Lab: instruct your assistant from your phone and continue the conversation across devices
Section 4Lab: Memory, Role and Workspace
OpenClaw stores memory as Markdown files that you can read and edit yourself
Define the assistant's role, tone and working rules
Decide what it should remember, what it must not, and how to make it forget
Lab: set up a work assistant that knows your projects and how you work
Section 5Lab: Routine Jobs with Cron and Webhooks
Set up cron jobs so the assistant works on schedule without being asked
Receive events from other systems through webhooks to start work automatically
Design short summaries that read well on a phone and keep model costs under control
Lab: a morning news and task briefing delivered to LINE every day
Section 6Lab: Connecting Email and Calendar through Skills
OpenClaw skills and plugins, and choosing them from trustworthy sources
Connect email and calendar with read-only access first, then add only what is needed
Let the assistant draft replies and appointments, with a person confirming before anything is sent
Lab: summarise important email and remind you of tomorrow's appointments
Section 7Lab: Codex for File Work and Automation
Use the Codex app or CLI to work with files, documents and scripts in a work folder
Set working guidelines with an AGENTS.md file and choose the approval level
Set up automations so Codex repeats work on a schedule
Lab: have Codex organise the weekly report files and summarise them in a document
Section 8Security for an Always-On Agent
Prompt injection hidden in email, websites and documents
Review third-party skills and plugins before installing them, because they run on your machine
Use a separate machine or user account for the agent and store API keys securely
Other people's personal data in email and chats, and PDPA principles
Check logs, set spending limits and know how to stop the agent immediately if something goes wrong
Section 9Lab: Separate Agents and Long-Term Upkeep
Separate agents for work and personal matters, each with its own memory and permissions
Decide which channel's messages go to which agent
Back up the workspace files and update OpenClaw safely
Track token usage and monthly costs
Lab: set up a second agent that follows news in a group chat
Section 10Workshop: Your Own Personal Assistant
Pick two or three of your own routine tasks and define the channels, timing and permissions needed
Build and test the assistant to plan, including cases where it should refuse or ask first
Check it against the security checklist before going live
Present the result and share approaches with other learners
Schedule & training options
For individuals — public rounds
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
A chatbot answers when you ask and stops at the end of the conversation, while an AI agent takes a goal and carries out several steps on its own, using tools such as email, calendars, files or the web. A personal agent goes further: it runs continuously on a computer or server, remembers its owner's context, performs scheduled routines and takes instructions from your phone through chat apps such as Telegram or LINE.
How do you make an AI assistant work automatically with cron jobs and webhooks?
Cron runs tasks on a schedule, such as summarising your email every morning or reporting outstanding work every Friday: you write the task as a clear instruction and set the timing. A webhook runs a task when something happens in another system, such as a new form submission or an alert; that system sends data to your assistant's URL and the assistant acts straight away. Test with trial accounts and have results sent back to chat before relying on them.
What is prompt injection, and how do you protect an AI assistant that reads your email?
Prompt injection is hiding instructions inside content an AI reads, such as an email, website or document, to trick it into doing something its owner never asked for, like sending data out or deleting files. Reduce the risk by giving the assistant only the permissions it needs, for example reading email but not sending it, requiring confirmation before important actions, installing skills only from trusted sources and keeping test accounts separate from real ones.
Who is the Personal AI Agents with OpenClaw and Codex course for, and what should I know beforehand?
It suits professionals with repetitive routine work, business owners and freelancers juggling email and appointments, IT teams and power users who want to trial a personal agent before using one at work, and ChatGPT users who want an AI that takes action. It is beginner to intermediate level, so you should be comfortable with computers, able to install software yourself and use the command line at a basic level.
What will I be able to do after the Personal AI Agents with OpenClaw and Codex course?
You will be able to install and configure OpenClaw and choose a model, instruct your assistant from your phone through Telegram or LINE, set its memory and role, schedule routines with cron and webhooks, connect email and calendars with only the permissions needed, and use Codex for file and script work, with safeguards against prompt injection. Participants receive a Certificate of Completion with its own number that can be verified online.
What do I need to prepare for the Personal AI Agents with OpenClaw and Codex course?
Bring a Windows, macOS or Linux laptop on which you can install software, a ChatGPT plan that includes Codex or an API key from an AI model provider, a Telegram or LINE account, and email and calendar accounts for testing, ideally test accounts. OpenClaw is free and open source, but you pay for model usage yourself, and keeping the assistant running around the clock requires a spare machine or a VPS.
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12 hours2 days
4,950THB5,500 THB
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Personal AI Agents with OpenClaw and Codex6 hrs · 1 days