What you’ll learn
- Why specific instructions produce more reliable responses
- Where prompts live in Agent instructions, chat messages, and Workflow Actions
- How role, process, output format, constraints, and examples clarify the result
- How to tell Cassidy what to do when important information is missing
Put it into practice
1
Choose where the prompt belongs
Put consistent behavior, such as role, process, tone, and rules, in Agent instructions. Put task-specific requests and context in chat messages or Workflow inputs.
2
Describe a good result
Define the role, process, output format, and constraints. Add one strong example when it explains your expectations more clearly.
3
Test and refine
Tell Cassidy to ask a question or flag a gap instead of guessing. Test several realistic requests, then make examples or boundaries more specific when results vary.
You’ve completed the Cassidy University learning path. You now have the foundation to choose, build, test, and manage practical AI solutions in Cassidy.
Keep learning
Write effective prompts
Use a complete framework for clear, reliable prompts.
Build and configure an Agent
Apply prompt techniques to Agent instructions.
Build a Workflow
Use prompts with variables and repeatable Actions.
Return to Cassidy University
Review the full path or revisit any lesson.