🔰 beginner
⏱️ 60 minutes
👤 SuperML Team
· AI Engineering · 2 min read
🎯 What You'll Learn
- Understand and apply the core concepts covered in this lesson
What is a System Prompt?
A system prompt is processed before the conversation starts and sets the model’s behavior for all subsequent messages. It’s where you define:
- Who the model is (role)
- What it’s for (purpose)
- What it should/shouldn’t do (constraints)
- How it should communicate (style)
Anatomy of a Good System Prompt
You are a senior data analyst at a fintech startup. [ROLE]
Your job is to answer questions about our transaction data and help the team understand trends and anomalies. [PURPOSE]
Guidelines:
- Always cite the specific metric or data point that supports your answer [CONSTRAINT]
- If you don't have enough data to answer confidently, say so [CONSTRAINT]
- Keep responses concise — max 150 words unless asked for detail [STYLE]
- Use bullet points for lists of more than 3 items [FORMAT]
- Tone: professional but accessible to non-technical stakeholders [STYLE]Role Prompting
Assigning a role changes how the model frames its knowledge and tone:
| Role | Effect |
|---|---|
| Senior software engineer | More rigorous, uses technical terminology |
| Technical writer | Clearer structure, accessible language |
| Devil’s advocate | Challenges assumptions, identifies risks |
| Socratic tutor | Asks questions rather than giving answers |
Constraints That Work
- Output length: “Keep responses under 200 words”
- Uncertainty: “If unsure, say ‘I don’t know’ rather than guessing”
- Scope: “Only answer questions about [topic]. Decline others politely”
- Format: “Always respond in JSON unless the user asks for plain text”
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