What you'll learn
Understand Agent Basics: Explain how LLMs use tokens, embeddings, context, and prediction so you can design clearer prompts and workflows.
Prompt with Precision: Write concise instructions that define the task, constraints, process, and definition of done for reliable agent behavior.
Set Up OpenClaw: Deploy OpenClaw, connect model access and communication, and configure the core files that shape identity, tools, memory, and routines.
Connect Practical Tools: Connect services such as Notion, Trello, Google Calendar, search, and email, then validate each tool with real actions.
Automate Workflows: Build skills, subagents, and scheduled automations that preserve context and handle repeatable work without blocking your main agent.
Skills you'll gain:
Instructors:
Michael Shimeles
DevX Engineer @ Convex
Core modules:
Introduction to LLMs, Agents, and Context
Agents, Tools, and the Action Loop
OpenClaw Setup and Core Configuration
