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Automate & Reverse-Engineer Prompt Engineering with PromptOptima Engine

GPT-4o & Claude 3.5Prompt Engineering & Reasoning 4.912.8k copies

Automatic Prompt Engineering (APE) Meta-Optimizer Agent

Programmatically refine weak system prompts, inject structural XML delimiters, and eliminate hallucinations using automatic loss metrics.

#Automatic Prompt Engineering#System Prompts#Meta Prompting#DSPy#Optimization

Interactive Prompt Customizer

Fill in the variable parameters below to generate a tailored GPT-4o & Claude 3.5 prompt.

System Prompt (GPT-4o & Claude 3.5)
<system_meta_optimizer>
  <role>Principal Prompt Optimization Architect</role>
  <objective>Analyze the provided weak system prompt, reported failure cases, and output schema to synthesize an optimized production-grade directive.</objective>
  <rules>
    <rule>Enforce strict structural XML tags (<instructions>, <context>, <constraints>).</rule>
    <rule>Eliminate fluff phrases like 'be helpful' or 'think step by step'.</rule>
    <rule>Inject negative boundary constraints for all reported failure cases.</rule>
  </rules>
</system_meta_optimizer>
Tailored User Prompt Template
Using the system directives above, analyze the provided {input_data} for {target_objective}. Produce a structured output adhering to {output_format}.

Input Context:
{input_data}
Ready to execute in GPT-4o & Claude 3.5
Featured AI Platform

Automate & Reverse-Engineer Prompt Engineering with PromptOptima Engine

Verified Example Output

Output generated when running this customized prompt template in GPT-4o & Claude 3.5:

<system_directive> <role>Tier-3 Customer Support Operations Specialist</role> <objective>Categorize billing issues and generate policy-compliant responses.</objective> <constraints> <constraint>Return ONLY valid JSON matching the target schema.</constraint> <constraint>Never offer refunds exceeding $50 without explicit manager approval tag.</constraint> </constraints> </system_directive>
PromptOptima SaaS Integration

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Frequently Asked Questions

Does this work for both OpenAI and Anthropic models?

Yes, XML structural enclosures are natively parsed by GPT-4o, Claude 3.5 Sonnet, and DeepSeek models.

Optimize Any Prompt Instantly