Jason Xu
Prompt engineering
Guiding generative AI
Prompt engineering is the skill of guiding AI models toward accurate, relevant output — across text-to-image generation, creative content, customer support, and academic research. Techniques range from zero-shot, one-shot, and few-shot inference to structured prompt chains and iterative refinement. Used responsibly — with transparency and human oversight — prompts are the interface between intention and machine.
My prompts & tools
Google NotebookLMMy research notebook Google DocsPrompt notes — keeps updating My GPTsCustom GPTs I've published Scholar AI @ChatGPTEvidence-based research assistant SCI Mechanism Diagram Generator @ChatGPTTurn mechanisms into publishable diagrams FlowGPTCommunity prompt library Hugging FaceModels, datasets, and the open AI communityNotebookLM
Google NotebookLM
My research notebook
A live notebook with my research sources, prompts and notes. NotebookLM can’t be embedded inside other pages, so this card links you straight to the notebook in a new tab.
