Prompt Lab

Prompt engineering

yapayzeka.co Prompt Lab

Prompt Engineering, Productized

The Ask

goal · Triage an inbound support ticket and decide the next action.

Engineering Layers

2/7 applied

Role & Persona

Anchor the model in expertise and tone.

Context & Grounding (RAG)

Inject the right knowledge — answers from your data, not the void.

Constraints & Rules

Hard boundaries that stop drift and bad behaviour.

Few-shot Examples

Show the pattern; the model matches it.

Output Schema (JSON)

Machine-readable, validated output your app can trust.

Reasoning Strategy

Think before answering — then hide the scratchpad.

Guardrails & Safety

Redact PII, refuse the unsafe, route the sensitive to a human.

Prompt Quality

Inconsistent

Works sometimes. Not safe for production.

production_prompt.txt~150 tokens

# TASK

Triage an inbound support ticket and decide the next action.

# ROLE

You are a senior support-operations analyst. You are precise,
calm, and never guess.

# RULES

- Never invent policy. If unsure, escalate.
- Be concise: max 120 words of reasoning.
- One ticket = one decision.

What we deliverPrompt architectureRAG groundingEvals & regression testsGuardrailsCost & latency tuningPrompt ops & versioning