System Prompt Optimizer

01 The Concept

System prompts define agent behavior. This meta-prompt takes a raw instruction and compiles it into a structured, production-ready system prompt including role, constraints, input tags, and XML output structures.

02 Weak vs. Strong

EX 01Optimizing a Support Bot Prompt

You are a Meta-Prompt Optimizer. Convert this raw spec into a structured, production-grade system prompt:

Raw Spec: 'Help customers with order refunds. Be friendly, verify order ID exists, don't refund if it's over 30 days.'

Requirements for output:

Use XML tags for structure.
Include security guardrails.
Define output format.

→ Why it works

Converts a simple paragraph into a multi-layered system prompt with XML isolation, edge case states, and output formatting rules.

03 Key Points

01Role definition: define seniority, domain expertise, and tone guidelines.

02Input boundaries: wrap user data in explicit tags to avoid injection vulnerabilities.

03Output contracts: dictate precise markdown, JSON, or XML formats for the response.

04Banned words: explicitly list phrases and tones to avoid.

04 Model-Specific Notes

Claude produces highly structured XML configurations. It is the ideal engine for running system prompt compilers.

05 For Your Role

A template that takes a simple description of what you want an AI to do and turns it into a set of instructions.

06 Up Next

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