OpenClaw Workshop for Everyone
Your Practical AI Assistant at Work - 2-Day Workshop
Most people already understand the basic idea of generative AI: type a question, receive an answer. OpenClaw introduces a more useful concept for everyday work. Instead of treating AI solely as something you visit when you need information, it can be configured as an AI agent that works through familiar communication channels, follows persistent instructions, uses approved capabilities and assists with repeatable tasks.
For non-technical users, the value of OpenClaw is not in understanding its source code or learning software development. It is in learning how to work effectively with an AI agent: deciding what it should be allowed to do, communicating instructions clearly, choosing appropriate capabilities, supervising its work and recognizing where human approval must remain part of the process.
OpenClaw provides a browser-based Control UI and can connect agents to communication platforms including Telegram, WhatsApp, Slack, Microsoft Teams, Discord, Signal and Google Chat. It also supports multiple agents, separate workspaces and skills that teach an agent how to perform particular workflows.
This two-day workshop gives participants more time to move beyond simply understanding these concepts. Participants will work directly with the platform, configure and personalize agents, practise communicating with them, explore skills and channels, develop repeatable workplace workflows and review the results produced by their agents. The emphasis is on learning by doing while retaining appropriate human supervision.
The workshop is designed for administrative staff, managers, executives, sales teams, HR personnel, researchers and other knowledge workers who want to understand how AI agents can support practical workplace activities. The focus remains non-technical: participants will not be expected to code, understand APIs, administer Linux servers or develop plugins.
Security, privacy and responsible use remain central throughout the workshop. Giving an AI agent access to tools, files or communication channels creates responsibilities that do not exist with an ordinary chatbot. Participants will therefore practise evaluating permissions, reviewing agent behaviour, identifying inappropriate automation and determining where human approval should remain mandatory.
The instructor has over 30 years of industry experience and will use real industry-demanded content and practical workplace scenarios rather than turning the workshop into an academic discussion of artificial intelligence. The extended two-day format allows participants to spend more time applying the concepts themselves, refining their agents and developing realistic workflows while maintaining a practical and manageable scope.
Learning Outcomes
By the end of this workshop, participants should be able to:
- Explain OpenClaw and the concept of an AI agent in practical terms.
- Distinguish an AI agent from a conventional chatbot.
- Navigate and use the OpenClaw Control UI.
- Communicate effectively with an OpenClaw agent.
- Provide clear instructions and establish useful agent behaviour.
- Understand workspaces, sessions, tools and skills at a user level.
- Connect and use appropriate communication channels.
- Identify suitable workplace tasks for agent assistance.
- Use skills to expand an agent's usefulness.
- Design simple repeatable AI-assisted workflows.
- Recognize inappropriate or high-risk automation.
- Apply sensible privacy and security practices.
- Review AI-generated work before allowing consequential actions.
- Plan practical OpenClaw adoption within a team or department.
Prerequisites
Participants should:
- Be comfortable using a Windows or macOS computer.
- Be able to use a modern web browser.
- Have general experience using workplace applications.
- Be comfortable using messaging applications.
- Have basic familiarity with ChatGPT or another generative AI assistant.
- Understand basic concepts such as files, folders and user accounts.
- Be willing to experiment with AI-assisted workflows.
Training Outline
- Understanding OpenClaw and AI Agents
- Generative AI fundamentals
- Chatbots versus AI agents
- OpenClaw concepts
- Agent
- Gateway
- Workspace
- Session
- Tools
- Skills
- Channels
- What OpenClaw can and cannot do
- Appropriate workplace applications
- Human oversight and accountability
- Guided exploration and participant discussion
- Identifying suitable personal and workplace uses
- Getting Started with OpenClaw
- OpenClaw environment overview
- Guided onboarding
- AI model selection concepts
- OpenClaw Control UI
- Starting conversations
- Sessions and conversation history
- Basic agent settings
- Understanding agent status
- Hands-on Control UI exploration
- Guided agent setup and configuration
- Participant onboarding and initial interaction
- Communicating Effectively with Your Agent
- Giving clear instructions
- Providing context
- Defining objectives
- Setting constraints
- Specifying desired outputs
- Breaking complex work into stages
- Reviewing agent responses
- Correcting and redirecting the agent
- Guided instruction-building workshop
- Participant instruction refinement
- Agent response review and redirection practice
- Personalizing an OpenClaw Agent
- Agent identity and purpose
- Persistent instructions
- User preferences
- Workspace concepts
- Agent memory concepts
- Creating role-specific assistants
- Separating personal and work activities
- Participant agent personalization
- Building persistent instructions
- Reviewing and refining agent behaviour
- Using OpenClaw Skills
- Understanding skills
- Skills versus ordinary prompts
- Finding available skills
- ClawHub concepts
- Installing approved skills
- Skill permissions and trust
- Reviewing third-party skills
- Managing installed skills
- Guided skills exploration
- Skill selection and permission review
- Hands-on skill installation and management
- Connecting OpenClaw to Communication Channels
- Channel concepts
- Web-based chat
- Telegram
- Slack
- Microsoft Teams
- Other supported channels
- Direct messages and group conversations
- Pairing and access controls
- Managing multiple channels
- Guided channel configuration
- Pairing and access-control practice
- Participant channel interaction
- OpenClaw for Everyday Work
- Information research
- Document and information handling
- Communication assistance
- Meeting and follow-up support
- Planning and organization
- Repetitive administrative work
- Information monitoring
- Personal productivity
- Participant task selection
- Guided workplace-task experimentation
- Reviewing usefulness and suitability
- Building Useful Agent Workflows
- Identifying repeatable work
- Defining workflow objectives
- Inputs and outputs
- Agent responsibilities
- Human responsibilities
- Approval points
- Repeatable instructions
- Workflow refinement
- Participant workflow design
- Guided workflow configuration
- Workflow testing
- Reviewing and refining workflow behaviour
- Working with Multiple Agents
- Purpose-specific agents
- Personal versus business agents
- Department-specific agents
- Separate workspaces
- Agent boundaries
- Selecting the appropriate agent
- Guided multi-agent planning
- Defining agent roles and boundaries
- Participant workspace organization
- Safety, Privacy and Responsible Use
- Understanding agent permissions
- Personal and confidential information
- File access considerations
- Communication access
- Third-party skills
- Prompt injection awareness
- Unexpected agent actions
- Human approval requirements
- Least-privilege principles
- When not to use an AI agent
- Permission-review workshop
- Participant risk identification
- Human-approval decision points
- Reviewing agent access and boundaries
- Managing and Supervising Your AI Assistant
- Reviewing agent output
- Checking factual accuracy
- Monitoring actions
- Recognizing unexpected behaviour
- Correcting instructions
- Managing permissions
- Stopping inappropriate workflows
- Escalating technical problems
- Guided agent supervision
- Output and behaviour review
- Corrective instruction practice
- Permission and workflow adjustment
- Introducing OpenClaw into the Workplace
- Selecting suitable use cases
- Individual versus shared usage
- Data sensitivity considerations
- Approval and governance
- User responsibilities
- IT involvement
- Starting with low-risk workflows
- Expanding successful workflows
- Establishing human oversight
- Participant workplace adoption planning
- Use-case review and prioritization
- Identifying approval and oversight requirements
- Workshop review and participant action planning
Note
Throughout the program, participants will take part in hands-on individual and group activities designed to turn the concepts covered into practical working skills. The workshop will encourage collaboration, experimentation and guided problem-solving, giving participants opportunities to configure agents, test ideas, compare approaches and refine workflows in a supportive environment. The aim is to create an engaging and enjoyable learning experience while ensuring that every activity contributes directly to practical knowledge, confidence and skills that participants can take back to the workplace.
Disclaimer
This workshop outline is intended as a professional training framework and general guide to the anticipated scope and sequence of instruction. The trainer reserves the right, at their professional discretion and without prior notice, to amend, reorganize, consolidate, substitute, expand or omit individual topics or workshop activities where reasonably necessary to accommodate participant competency, available infrastructure, software changes, organizational requirements, security considerations or time constraints, provided that such adjustments remain consistent with the intended learning objectives and practical purpose of the program.
Practical, connected learning
My wider training approach brings hands-on implementation and systems thinking together, connecting technology with real operational needs.