Multimodal reasoning
Prompts that require the model to separate what it sees from what it infers.
24 curated prompts
Gemini's strength is multimodal and large-context work. These prompts are written for tasks where the model must combine text, tables and media, then produce an auditable summary rather than a fluent guess.
Prompts that require the model to separate what it sees from what it infers.
Templates for reading tabular material and reporting findings with citations to rows.
Prompts that keep claims traceable to the supplied sources.
Copy-ready prompts selected from this topic cluster.
Prompt from prompts.chat: Lead Generator & Tracker (WordPilot.pro)
Prompt from prompts.chat: Deep Research Agent Role
Prompt from prompts.chat: Accessibility Auditor Agent Role
Transform long-form articles into retro scholarly handjournal-style cards suitable for Xiaohongshu, combining academic rigor with artisanal aesthetics to generate multiple visual knowledge cards (450x600px) with single and batch download support.
Prompt from prompts.chat: Kintsugi Ethos Omni Ultimate Définitive Version Infinity Édition Balise PSY
Prompt from prompts.chat: Landing page copywriting
Prompt from prompts.chat: technical-whitepaper-writer
Prompt from prompts.chat: Photography Trip Planning — Research-Backed Itinerary Builder
Prompt from prompts.chat: AI Provider Research Expert
Prompt from prompts.chat: Unified Research and Source Analysis Prompt
Yes. Separate the observation instructions from the reasoning instructions, and require the model to flag anything it cannot actually see.
Ask for a description of what is present first, then a separate inference section, and require explicit uncertainty markers.
Yes. They are commonly used for extracting structured findings from reports, forms and slides.