Effective Prompt Examples in Giselle’s Generator Nodes.
This document provides effective and concrete prompt examples tailored specifically for Giselle’s Generator Nodes, leveraging various multimodal AI models including Anthropic’s Claude, Google’s Gemini, OpenAI’s GPT-4o, Perplexity’s Sonar, and Fal AI for image generation.
Role: Experienced programmerTask:Explain the most efficient way to extract unique elements from a Python list.Output Format:- Brief explanation- Python code example demonstrating the method clearly
Why this prompt is effective:
Clear role definition aligns the AI’s perspective.
Explicit instruction and clear output expectations.
Role: Graphic designerTask:Generate a high-quality, minimalist logo for a technology startup named "QuantumLeap."Constraints:- Model: flux-pro/v1.1- Color scheme: Blue and white- Style: Modern, minimalisticOutput Format:- PNG image (1024x1024)
Why this prompt is effective:
Clearly defines role and creative constraints.
Utilizes specific Fal AI model for high-quality outputs.
Role: Industry analystTask:Analyze the attached PDF industry report and the accompanying infographic image.Steps:1. Summarize key findings from the PDF.2. Identify and explain trends visible in the infographic.3. Recommend strategic actions based on combined insights.Constraints:- Model: Gemini 2.5 ProOutput Format:- Concise summary- Clearly explained visual trends- Strategic recommendations as bullet points
2. Ethical Analysis and Content Structuring with Claude
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Role: Ethics consultantTask:Review the provided research paper on AI surveillance technologies.Steps:1. Identify ethical implications.2. Suggest practical ethical guidelines for deployment.Constraints:- Model: Claude 3.7 SonnetOutput Format:- Ethical implications listed clearly- Practical guidelines structured as actionable points
Why this prompt is effective:
Aligns task specifically with Claude’s strengths in nuanced understanding.
Structured clearly to maximize Claude’s reasoning and analytical capabilities.
Step 1 (Perplexity Sonar Pro):Role: Market researcherTask: Gather the latest market insights on sustainable food packaging from web sources.Output Format: Fact-based summary with citations.Step 2 (Claude 3.7 Sonnet):Role: Sustainability analystTask: Analyze insights from Step 1 for ethical and sustainability implications.Output Format: Analysis summary and recommendations.Step 3 (GPT-4o):Role: Technical writerTask: Format the insights and recommendations into a structured industry report.Output Format: Professional document in markdown format.Step 4 (Fal AI flux-pro/v1.1):Role: Graphic designerTask: Generate a compelling visual cover image for the final report.Constraints: Sustainability theme, professional styleOutput Format: High-quality cover image (PNG, 1200x800)
Why this prompt is effective:
Clearly leverages strengths of multiple AI models sequentially.
Structured, integrated steps with explicit model assignments.