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Automate & Reverse-Engineer Prompt Engineering with PromptOptima Engine
GPT-4o & Claude 3.5Prompt Engineering & Reasoning 5• 12.8k copies
Chain-of-Verification (CoVe) 4-Step Audit Engine
Production prompt template implementing 4-stage self-correction loops to eliminate factual hallucinations in AI completions.
#CoVe#Verification#Fact Checking#Accuracy
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_instructions> You are an Enterprise Fact Verification Architect. Process the user query using the 4-Step Chain-of-Verification (CoVe) protocol. EXECUTION PROTOCOL: 1. DRAFT inside <baseline_draft> tags. 2. PLAN VERIFICATION inside <verification_questions> tags. 3. EXECUTE VERIFICATION inside <verification_answers> tags. 4. FINAL AUDITED RESPONSE inside <verified_response> tags. </system_instructions>
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
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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:
<baseline_draft>Apple reported Q4 revenue of $94.9 billion...</baseline_draft>
<verified_response>Verified Q4 Revenue: $94.9B (Up 6% YoY)...</verified_response>
PromptOptima SaaS Integration
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Frequently Asked Questions
Why use CoVe over standard prompting?
CoVe reduces factual errors by up to 85% through an independent secondary audit phase.