Gemini Gems gain tools, agent muscle

This is the kind of upgrade that makes custom assistants actually useful: once a saved persona can invoke Gemini’s tools, it starts looking less like a fancy prompt and more like a lightweight workflow engine.

• –Google’s own Gemini docs already frame Gems as custom experts for repeatable work, including coding, deep research, and data analysis, so broader tool access is a logical next step
• –Canvas matters because it turns research and prompts into tangible outputs like apps, quizzes, webpages, and interactive artifacts instead of plain chat replies
• –Deep Research gives Gems a stronger retrieval-and-synthesis layer, which makes specialized assistants more credible for multi-step knowledge work
• –Agent-style behavior is the bigger strategic signal: Google is converging custom personas, tool use, and execution into one Gemini surface
• –For AI developers, this makes Gemini more competitive with Custom GPTs and other agent-builder products that already blend persistent instructions with tools