GPTPrompts.AI

Gemini
Prompts.

Unleash the 2M context window. Our guide is the definitive manual for prompting Google's most advanced multimodal AI models across the entire Google ecosystem.

The Gemini Edge: Why Google's AI is Different

Google Gemini is not just a language model—it is a native multimodal intelligence. While other models were trained on text and then "tapped" into vision or audio, Gemini was built from the ground up to understand video, images, code, and text simultaneously. This shift in architecture requires a fundamental shift in how we write Gemini prompts.

To truly master Gemini, you must leverage its three unique strengths: its massive 2-million-token context window, its deep integration with the Google Workspace ecosystem (Docs, Gmail, Drive), and its native multimodality. Our guide explores how to prompt across these dimensions to achieve results that are simply impossible with traditional LLMs.

The Art of Multimodal Prompting

Gemini shines when you feed it multiple data types at once. Here's how to structure multimodal prompts:

Video + Text

"Analyze this 10-minute presentation. Extract all mentioned KPIs and create a summary table. Highlight any moments where the speaker's tone shifts from confident to hesitant."

Code + Image

"Look at this screenshot of a UI layout. Now analyze this React code. Identify the specific lines in the code that are causing the spacing issues shown in the screenshot."

Video Reasoning

Directing the Digital Eye

Gemini's ability to "watch" video is unmatched. It doesn't just look at frames; it understands temporal flow.

The "Event Locator" Prompt:

"I am uploading a 60-minute security footage file. Find the exact timestamp where the person in the red jacket enters the frame. Describe their actions in the subsequent 30 seconds."

The "Cinematic Analyst" Prompt:

"Analyze this short film. Identify the color palette used in the first act vs the third act. Explain how the lighting shift contributes to the emotional stakes of the protagonist's journey."

The 2M Context Masterclass

Gemini 1.5 Pro allows you to upload entire books, codebases, or hour-long videos. The secret to long context prompting is "Needle in a Haystack" precision. When working with 1M+ tokens, you must be explicit about the schema of your desired output.

Precision Workflow:

  1. Define the Corpus: "I have uploaded 50 legal contracts totaling 800,000 tokens."
  2. Targeted Extraction: "Find every clause that mentions 'Force Majeure' and specifically references 'Public Health Emergencies'."
  3. Structured Synthesis: "Generate a CSV table with columns: [Contract Name], [Clause Number], [Specific Phrasing], [Liability Implications]."

Flash vs. Pro: Matching the Model to the Prompt

Google offers two primary versions of Gemini 1.5. Choosing the right one depends on your prompt's complexity.

Gemini 1.5 Flash

Optimized for speed and high-volume tasks.

  • • High-speed data extraction
  • • Real-time chat bots
  • • Summarizing short to medium documents
  • • Simple multimodal labeling

Gemini 1.5 Pro

Optimized for deep reasoning and massive context.

  • • Analyzing massive codebases (1M+ tokens)
  • • Complex video reasoning
  • • Cross-document synthesis
  • • Nuanced creative writing

Gemini Strategy FAQ