Topic

Prompt Engineering

Prompt design patterns, instruction hierarchy, and defensive prompt construction.

prompt engineeringsystem promptsinstruction hierarchyguardrailstask decomposition
Evergreen Overview

Prompt engineering is not just about better outputs. In practice it shapes reliability, scope, fallback behavior, and how well an AI system resists misuse when instructions, tools, and untrusted content collide.

What matters most
  • Instruction hierarchy and role separation
  • Clear task boundaries, fallback behavior, and refusal handling
  • Prompt structures that support monitoring and repeatable evaluation
Where teams get into trouble
  • Overloading prompts with too many responsibilities
  • Relying on wording instead of system controls
  • Treating prompts as static text instead of part of application design
Who this page is for
  • Teams operating prompt-heavy workflows
  • Builders refining assistant and agent behavior
  • Reviewers trying to connect prompt design to safety and risk
References

Current notes, events, and source material

These items are included because they add useful evidence, framing, implementation detail, or upcoming context for teams working in this area.