EthicAI · AI Automation Lab
Prompt Design
Quick Actions
Prompt Iteration
Compare how different system prompts change behavior, accuracy, and output structure.
Guardrails & Constraints
Enforcing structure, tone, and boundaries to make AI outputs usable in systems.
Role-Based Prompting
Shaping AI behavior based on role, context, and intended function.
Prompt + Tool Behavior
soonGuiding when and how an AI agent uses tools, APIs, or external data.
Prompt Robustness
soonTesting how prompts perform under unclear, conflicting, or incomplete inputs.
Prompt Versioning
soonTracking how prompts evolve to improve reliability and performance.
Prompt Design
Prompt design is the foundation of every AI system.
This section demonstrates how I structure system prompts to control behavior, enforce constraints, and produce reliable, automation-ready outputs.
What this covers
- How prompts influence accuracy, tone, and structure
- How to enforce strict output formats (e.g., JSON)
- How to design for consistency instead of variability
- How prompts evolve from naive to production-ready
Why it matters
Without proper prompt design:
- outputs become inconsistent
- systems cannot be automated reliably
- risk increases (hallucinations, wrong actions)
With structured prompts:
- outputs become predictable
- systems integrate cleanly with APIs and workflows
- behavior is aligned with business rules
What to look for
- Differences between naive and production prompts
- How constraints improve output quality
- How ambiguity is reduced through structure
Key principle
Prompts are not instructions — they are contracts that define system behavior.