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Structural Architecture\n- Opening Directive: Begin with one concise sentence defining the model's role and primary objective\n- Hierarchical Organization: Use markdown headers (# for primary, ## for secondary, ### for tertiary sections)\n- Section Separators: Precede each major section with a horizontal rule (---) for visual clarity\n- Logical Flow: Order sections as: Role → Steps → Output Format → Examples → Notes/Constraints\n\n## 2. Process Definition\n- Granular Steps Section: Provide a numbered, sequential breakdown of the reasoning process\n- Reasoning Enforcement: Explicitly mandate that reasoning must precede any final answer\n- Decision Points: Highlight conditional logic, branching paths, or validation checkpoints\n- Error Handling: Include instructions for handling ambiguous inputs or missing data\n\n## 3. Output Specification\n- Format Precision: Define exact output structure including length constraints and syntax\n- Structured Data Bias: Default to JSON for any task involving classification, extraction, or scoring\n- Schema Definition: For JSON outputs, specify all keys, value types, required vs. optional fields\n- Quality Standards: Define criteria for completeness, accuracy, and formatting compliance\n\n## 4. Exemplification\n- Representative Examples: Include 2-3 examples demonstrating the full process from input to output\n- Placeholder Strategy: Use descriptive placeholders (e.g., [USER_QUERY], [REASONING_CHAIN], [FINAL_OUTPUT])\n- Input-Output Pairing: Clearly demarcate example inputs from expected outputs\n- Edge Case Coverage: Include at least one example handling an ambiguous or complex scenario\n\n## 5. Content Preservation & Enhancement\n- Fidelity: Retain all specific guidelines, rubrics, variables, terminology, and examples\n- Augmentation: Add missing structural elements while preserving original intent\n- Constraint Integration: Weave all implicit requirements into explicit instructions\n\n# OUTPUT FORMAT\nGenerate ONLY the complete system prompt. No meta-commentary, introductions, or explanations.\nBegin prompt generation now.`;\n\nfunction buildPromptGenerationRequest(config: PromptConfig): string {\n const variables = config.variables.map((v) =>\n `- Variable: {{${v.name}}} (${v.type}) - ${v.description}${\n v.example ? ` - Example: \"${v.example}\"` : \"\"\n }`\n ).join(\"\\n\");\n\n return `Generate a production-ready system prompt with the following specifications:\n\n# TASK DESCRIPTION\n${config.taskDescription}\n\n# VARIABLES\n${config.variables.length > 0 ? variables : \"No variables defined.\"}\n\n# RESPONSE FORMAT\n- Format Type: ${config.format}\n${\n config.format === \"json\" && config.jsonSchema\n ? `- JSON Schema:\\n${config.jsonSchema}`\n : \"\"\n }\n${\n config.format === \"structured\" && config.structuredFormat\n ? `- Structure: ${config.structuredFormat}`\n : \"\"\n }\n- Response Style: ${config.responseStyle}\n\n# CONSTRAINTS\n- Output Language: ${config.language}\n- Tone: ${config.tone}\n- Reasoning Required: ${\n config.reasoning ? \"Yes - must show reasoning before conclusions\" : \"No\"\n }\n- Citations Required: ${\n config.citations ? \"Yes - must cite sources for factual claims\" : \"No\"\n }\n\n# ADDITIONAL INSTRUCTIONS\n${config.additionalInstructions || \"None provided.\"}\n\nGenerate the complete system prompt now.`;\n}\n\n// --- SAMPLE INPUT GENERATION ---\nfunction generateSampleInputs(variables: Variable[]): TestInputs {\n const samples: TestInputs = {};\n\n variables.forEach((v) => {\n if (v.example) {\n samples[v.name] = v.example;\n return;\n }\n\n switch (v.type) {\n case \"text\":\n samples[v.name] = `Sample ${v.name} text`;\n break;\n case \"number\":\n samples[v.name] = \"42\";\n break;\n case \"boolean\":\n samples[v.name] = \"true\";\n break;\n case \"list\":\n samples[v.name] = \"item1, item2, item3\";\n break;\n case \"json\":\n samples[v.name] = '{\"key\": \"value\"}';\n break;\n }\n });\n\n return samples;\n}\n\n// --- HTML FRONTEND GENERATION ---\nfunction generateHtml(sourceUrl: string): string {\n return `\n\n\n \n \n Advanced Prompt Studio\n \n \n \n \n\n\n

⚡ Advanced Prompt Studio

Generate production-ready prompts with variables, format control, and dynamic testing

\n\n

\n \n

⚙️ Configuration

\n \n

\n Task Description\n \n

\n\n

\n Response Format\n \n

\n\n

\n JSON Schema (optional)\n \n

\n\n

\n Structure Format\n \n

\n\n

\n Response Style\n \n

\n\n

\n Language\n \n

\n Tone\n \n

\n\n

\n \n Require reasoning before conclusions\n

\n\n

\n \n Require citations\n

\n\n

\n Additional Instructions\n \n

\n\n \n

📝 Variables

\n \n

\n\n

Add Variable

\n \n

\n\n \n

\n \n

📄 Generated Prompt

\n \n

\n Generate a prompt to see it here\n

\n\n \n

🧪 Test Prompt

\n \n

\n\n \n\n

Result:

\n\n \n

💾 Saved Prompts

No prompts saved yet

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