In-Class Activities
Two structured exercises that apply everything covered in the course — one focused on financial analysis with the agent, one on understanding configuration through deliberate troubleshooting.
Activities
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Stock Comparison Challenge
Participants choose two IDX stocks and ask their OpenClaw agent to compare them across at least three financial metrics. Based on the agent's output, each participant presents a one-sentence buy or hold recommendation to the group.
Skills applied: querying the Sectors API · interpreting financial data · using natural language prompts effectively
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Setup Troubleshooting Exercise
In pairs, participants swap openclaw.json config files — each containing a deliberate error — and attempt to identify and fix the issue. This reinforces understanding of the configuration structure and common failure modes.
Skills applied: reading config files · using openclaw doctor · identifying token and gateway errors
Competencies Participants Will Acquire
01
Explain the difference between an AI agent and a chatbot to a non-technical colleague.
02
Install and configure OpenClaw on a local machine or VPS, connecting it to a language model provider and a messaging channel.
03
Set up and use the Sectors API skill to retrieve live Indonesian stock market data through natural language.
04
Evaluate the cost and practical suitability of an AI agent framework for a given use case.
05
Troubleshoot common OpenClaw configuration errors independently using logs and the config file.
This site is a companion to the in-person course handout and will be taken down approximately one month after the session. Save or download any materials you need.