AI Prompts Category
Prompt Engineering AI Prompts
Browse advanced AI prompt engineering templates. Create system prompts and structured output prompts.
pe-evaluation-harness
v1.0
0 copies
Prompt Evaluation Harness
Evaluate prompt quality using AI. Build test cases to measure reliability and edge cases.
Create a prompt evaluation harness for: [PROMPT]. Generate: 1) 5 normal test cases, 2) 3 edge cases, 3) 2 adversarial inputs, 4) A simple scoring rubric to judge output quality.
pe-chain-of-thought-lite
v1.0
0 copies
Step-by-Step Reasoning Prompt
Design prompts that encourage step-by-step reasoning while keeping concise outputs.
Rewrite this prompt to encourage careful reasoning without revealing chain-of-thought. The AI should: 1) Think internally step-by-step, 2) Output only the final concise answer with a short justification. Prompt: [PASTE PROMPT].
pe-prompt-debugger
v1.0
0 copies
Prompt Debugger
Debug prompts using AI. Improve clarity, constraints, and reliability.
Analyze this prompt that gives bad results: [PASTE PROMPT]. Identify why it fails, then rewrite it with clearer instructions, constraints, and an example. Explain the changes briefly.
pe-few-shot-examples
v1.0
0 copies
Few-Shot Example Builder
Build few-shot examples using AI prompts. Improve accuracy with examples.
Convert this task into a few-shot prompt: [TASK]. Provide 2–3 high-quality input/output examples that demonstrate the desired behavior and edge cases.
pe-structured-output
v1.0
0 copies
Structured Output Prompt Generator
Generate structured output prompts for AI. Get JSON, tables, or bullet formats consistently.
Rewrite this prompt to enforce structured output: [PASTE PROMPT]. The output must be valid JSON with fields: [FIELD1, FIELD2, FIELD3]. Add constraints to avoid extra text.
pe-system-prompt-builder
v1.0
0 copies
System Prompt Builder
Build system prompts using AI. Control tone, rules, and output style for consistent results.
Create a system prompt for an AI that will act as: [ROLE]. Define: 1) Tone and personality, 2) Rules and constraints, 3) Output format, 4) What the AI should refuse, 5) Examples of good vs bad responses.
