AI Prompting for Product Managers: From Zero to Practical Application
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Updated
May 6, 2025
AI Prompting for Product Managers: From Zero to Practical Application
synapz is a research prototype exploring how large language models can adapt teaching content to different cognitive styles. built over a 48-hour sprint with a strict 50ドル api budget, this project implements a scientific framework to test whether adaptive teaching produces measurably better results than static approaches.
MEMOGEN: Master IELTS vocabulary with 3D interactive flashcards - 90%+ retention combining memory techniques, AI-generated imagery & LECTOR spaced repetition
synapz is a research prototype exploring how large language models can adapt teaching content to different cognitive styles. built over a 48-hour sprint with a strict 50ドル api budget, this project implements a scientific framework to test whether adaptive teaching produces measurably better results than static approaches.
We compare traditional tools with LLM-based tools to evaluate their effectiveness in data analytics education for non-computational professionals and students. Our approach, validated through two case studies, shows that using generative AI as the primary tool significantly improves learning efficiency and project development speed.
No magic, just tokens and conventions. A 4-tab teaching tool that visualizes LLM internals — token sampling, top-10 probabilities, chat templates, and Agent tool calls. Runs locally on Mac (llama.cpp + Qwen3).
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