What it is
Gemini is Google's flagship AI assistant, developed by Google DeepMind. Unlike most AI models that added image and video capabilities as an afterthought, Gemini was trained from the ground up on text, images, audio, and video simultaneously — a distinction that gives it a genuine edge in multimodal tasks.
The platform serves over 650 million users monthly and is embedded across Google's product suite, from Search and Chrome to Android devices and Google Workspace.
Key features
Gemini's most important capability is its deep integration with Google Workspace. Users can pull directly from their Gmail inbox, cross-reference Google Drive files, and work within Docs, Sheets, and Slides — all from within the Gemini interface. This makes it fundamentally different from a standalone chatbot: it works with your actual data, not just what you paste into a chat window.
Real-time search grounding is included by default, meaning responses draw on live web results rather than a static training cutoff. For research and fact-sensitive work, this is a meaningful advantage over models without web access.
Gemini's multimodal architecture handles video natively — it can process a video recording and extract specific timestamps or summarise a presentation without manual transcription. Context windows reach up to two million tokens on advanced tiers.
Use cases
Gemini is the natural default for teams already embedded in Google's ecosystem. Common uses include summarising email threads, drafting documents using existing Drive files as context, analysing data in Google Sheets, and conducting research with live web citations.
It is also well-suited to organisations that need AI capabilities without changing existing tooling — Gemini meets users where they already work rather than requiring a separate workflow.
