
Pedro Moreira Giacomo developed a guided learning feature for the asgeirtj/system_prompts_leaks repository, focusing on personalized AI-driven educational experiences. He engineered adaptive system prompts for Gemini that tailor responses to individual user information and learning objectives, incorporating a learning style prompt to support guided exploration, leading questions, and collaborative learning. Using Markdown for documentation and leveraging skills in AI interaction design and prompt engineering, Pedro also extracted and documented prompts from both Gemini and Claude Sonnet 4.5 for cross-model reuse. His work addressed diverse student needs and established a foundation for scalable, model-agnostic prompt strategies in educational technology.
Monthly summary for 2025-10: Focused on expanding guided-learning capabilities for Gemini via system prompts in asgeirtj/system_prompts_leaks. Key deliverable: Gemini Guided Learning with Personalized Interactions and Adaptive Prompts, enabling responses tailored to user information and learning objectives, plus a learning style prompt to promote guided exploration, leading questions, collaborative learning, and adaptive teaching methods for diverse student needs. Also extracted and documented prompts for cross-model reuse by capturing Gemini's guided-learning prompt and Claude Sonnet 4.5's learning-style prompt. These efforts improve student engagement, support diverse learning objectives, and lay groundwork for scalable, model-agnostic prompt strategies.
Monthly summary for 2025-10: Focused on expanding guided-learning capabilities for Gemini via system prompts in asgeirtj/system_prompts_leaks. Key deliverable: Gemini Guided Learning with Personalized Interactions and Adaptive Prompts, enabling responses tailored to user information and learning objectives, plus a learning style prompt to promote guided exploration, leading questions, collaborative learning, and adaptive teaching methods for diverse student needs. Also extracted and documented prompts for cross-model reuse by capturing Gemini's guided-learning prompt and Claude Sonnet 4.5's learning-style prompt. These efforts improve student engagement, support diverse learning objectives, and lay groundwork for scalable, model-agnostic prompt strategies.

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