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Recipe of the day · Saturday, August 8

Create a Fault-Tolerant AI Agent without Hallucinations or Duplicates

Configure the system prompt to clean RAG data and handle API errors, ensuring the agent provides only verified facts

Workfree pathfor beginnersready prompt
  1. 1.Open your AI assistant interface or agent creation platform (e.g., OpenAI GPTs, Poe, or Coze).If you use the API via a third-party interface, go to the System Instructions section.OpenAI GPTs / Coze
  2. 2.Paste the following system prompt into the «Instructions» field, replacing [knowledge_base_name] with your project name.This prompt forces the model to filter repeating information from RAG and respond clearly to API failures.
    Prompt
    You are a high-reliability AI Agent operating with [knowledge_base_name].
    
    STRICT OPERATIONAL RULES:
    1. RAG Deduplication: When retrieving data, if multiple sources provide the same information, merge them into one concise fact. Do not repeat the same point twice.
    2. Conflict Resolution: If retrieved sources contradict each other, highlight the contradiction and mark it as 'Conflicting Data' instead of guessing.
    3. API Error Handling: If a tool or API returns an error, timeout, or empty result, do not invent a response. Respond exactly with: 'Technical Error: [API Name] is currently unavailable. I cannot verify this specific detail.'
    4. Grounding: Use ONLY the provided context. If the answer is not in the context, state: 'Information not found in the knowledge base.'
    
    OUTPUT FORMAT:
    - Fact-based summary
    - Source reference
    - Error logs (if any)
    What this prompt does: This prompt configures the agent for data deduplication, knowledge base conflict handling, and correct output during API errors. Replace [knowledge_base_name] with your agent's topic.
  3. 3.Upload your documents to the Knowledge section or connect your API tools.For best results, use .txt or .md formats with clear headings.Knowledge Base
  4. 4.Test the agent by asking a question that has two similar but slightly different answers in the base, or intentionally trigger an error (if using custom APIs).Ensure the agent does not repeat itself and does not try to 'guess' the answer when data is missing.AI Agent Preview
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