NinjaAI.comExcerpts from "Combining AI Tools for Better Results : Social Media Examiner" by Michael Stelzner (July 22, 2025)This briefing document summarizes key strategies and insights from Michael Stelzner's "Combining AI Tools for Better Results" article, co-created with Grace Leung, focusing on optimizing AI usage for marketing. The central theme revolves around a strategic, multi-model approach to AI, moving beyond reliance on a single tool like ChatGPT to leverage the distinct strengths of various platforms for enhanced performance and capabilities.1. The Imperative of a Multi-Tool AI ApproachKey Idea: Limiting oneself to a single AI tool, even a popular one like ChatGPT, means "missing significant opportunities for enhanced performance and capabilities." Different AI models are trained differently, leading to fundamentally distinct capabilities and strengths.ChatGPT: Primarily a text-based model.Gemini: Trained multimodally from inception, capable of handling "text, images, audio, and video inputs simultaneously." Excels at data-heavy analysis and deep research.Claude: Focused on "linguistic sophistication and human-centered ethical considerations." Strong for refined analysis, strategic interpretation, and storytelling.Perplexity: Excels at rapid, real-time internet research with cited sources.NotebookLM: Unique for internal research, focusing exclusively on user-provided sources, minimizing hallucination, and maximizing relevance.Actionable Insight: Marketers need "hands-on experience to determine which tools work best for your recurring tasks" rather than relying solely on general recommendations.2. Establishing a Strategic Framework for Multi-Tool AI WorkflowsKey Idea: A structured approach is essential for testing and implementing multiple AI platforms effectively.a. AI Tool Testing Framework:Identify Recurring Tasks: Focus on "your most frequent, recurring tasks" (e.g., strategy development, content creation, data analysis, research).Standardized Prompts: Design a "standardized prompt that you can test across different models simultaneously" for objective comparison.Evaluation Factors:Speed: How quickly each tool responds.Accuracy: Checking for "bias or inaccurate information."Tone and Presentation Style: Significant variations exist.b. Testing for Bias and Accuracy:Factual Questions: Ask questions about topics you know well to "spot potential biases or knowledge gaps."Brand/Industry Overviews: Request a comprehensive overview of your brand or industry to see "which model provides the most accurate and complete information."Chain-of-Thought Analysis: Examine the model's "reasoning process" to understand how it breaks down complex tasks.c. Mapping Workflows:Strategic Leverage: After testing, "map each part of your systematic workflow to the tool that strategically leverages these capabilities."Example Workflow: "Perplexity for initial research, Gemini for data-heavy analysis, and Claude for refined strategic thinking and presentation."Goal: Develop a clear understanding of "which tool serves each part of your process most effectively and then build repeatable workflows around these insights."

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