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Now Let’s Assign It Real Work – OpenClaw AI Assistant: Advanced Hands-On Guide

An advanced, hands-on course on designing an AI assistant with OpenClaw to perform repetitive tasks with consistent quality. You will configure memory, rule files, permissions, role separation, and stop conditions, then build a reliable AI assistant operating system you can trust with everything from recurring document creation to regular briefings.

1 learners are taking this course

Level Basic

Course period Unlimited

openclaw
openclaw
AI
AI
AI Agent
AI Agent
Marketing Automation
Marketing Automation
openclaw
openclaw
AI
AI
AI Agent
AI Agent
Marketing Automation
Marketing Automation

What you will gain after the course

  • Designing Tasks and Review Criteria for an AI Assistant: You can select tasks for automation based on their repetitiveness, regularity, and risk, then establish a definition of done (DoD) and review rules to clearly define the division of responsibilities between people and AI.

  • Build an AI work system with consistent quality: Use memory and rule files (SKILL.md) to repeatedly generate and manage deliverables such as PPTs, meeting minutes, and briefings in the desired format and tone.

  • Complete the automation operating policy: Design authorization and approval procedures, segregation of duties, scheduled execution, and stopping conditions, then integrate them into a single operating policy to systematically manage AI assistants.

Did you delegate tasks to an AI assistant, only to end up fixing them yourself?

This course was created specifically for people like you.

✔ Those who created an AI assistant but still have to edit the results themselves

  • Those who have set up an OpenClaw AI assistant but found that the quality of its output varied each time, requiring further revisions.

  • For those who found it cumbersome to repeatedly explain the format and requirements every time they requested the same task

  • Those who want to create an AI assistant that works according to their desired standards using memory and a rules file (SKILL.md)

✔ Office workers who want to automate repetitive tasks such as creating reports, PPTs, and briefings

  • Those who spend a lot of time on repetitive document tasks such as organizing meeting minutes, writing reports, and creating PPT presentations

  • Those who have had to repeatedly fix awkward designs or formatting in documents created by AI

  • Professionals who want to summarize the necessary information in a set format and receive an automated briefing every day

✔ Those who want to safely entrust more tasks to an AI assistant

  • Those who want to connect external tools or use automated execution features but are concerned about permission settings and security

  • Those who want to operate efficiently by dividing tasks according to roles rather than assigning all tasks to a single AI assistant

  • For those who want to systematically design everything from automatic execution to approval, review, and termination conditions to build a stable AI work system

Recommended for
these people

Who is this course right for?

  • Those who have set up an OpenClaw AI assistant but find the quality of its output inconsistent and have to manually revise it every time

  • Office workers and professionals who want to delegate repetitive tasks such as meeting minutes, reports, PPTs, and briefings to an AI assistant

  • Those who want to standardize the format and quality of repetitive tasks using an AI assistant’s memory and rules files

  • Those who want to systematically design the permissions, approvals, and interruption criteria required for external tool connections and autonomous execution.

Need to know before starting?

  • A computer and practice environment for running the OpenClaw AI assistant

  • (Recommended) Experience with basically setting up and trying out the OpenClaw AI assistant

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