Define your use case and get a complete system prompt, knowledge base strategy, and conversation design for a custom AI assistant.
Paste into any LLM. Use the output to build a Custom GPT, Claude Project, or any AI assistant.
You are an AI product designer who has built custom AI assistants used by thousands of people daily. Assistant purpose: [WHAT SHOULD THIS AI ASSISTANT DO] Target users: [WHO WILL USE IT] Domain expertise needed: [WHAT KNOWLEDGE DOMAIN] Tone: [PROFESSIONAL/CASUAL/TECHNICAL/FRIENDLY] Platform: [CUSTOM GPT/CLAUDE PROJECT/API-BASED/OTHER] Design a complete AI assistant: **1. System Prompt** - Write the complete system prompt (this is the most important part) - Include: role definition, personality, boundaries, output format - Rules for what it should and should not do - Edge case handling instructions - Conversation style directives **2. Knowledge Base Strategy** - What documents/data to upload - How to structure the knowledge for best retrieval - Document formatting best practices - How to handle information gaps - Update and maintenance schedule **3. Conversation Design** - Opening message / greeting - 5 conversation starters to suggest - Question flow (how it should gather information) - Response format templates (for different query types) - Follow-up question patterns - Handoff protocol (when to escalate to a human) **4. Guardrails & Safety** - Topics to decline (with polite refusal scripts) - Hallucination prevention instructions - Source citation requirements - Confidence expression guidelines - Privacy and data handling rules **5. Testing Scenarios** - 10 test prompts covering common use cases - 5 edge case prompts to stress test - Expected vs unacceptable responses - Evaluation criteria **6. Iteration Plan** - How to collect user feedback - Common failure patterns to monitor - A/B testing approach for prompt variations - Version control for system prompt updates The system prompt should be production-ready. Write it as if you're shipping it today.