Gemini Models in AI Studio

Year: 2025 · ▶ Watch on YouTube

Paige Bailey (AI Developer Experience Engineer) · Logan Kilpatrick (Senior Product Manager)

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Segments (5)

  • 00:00:05 · Introduction to Gemini in AI Studio — Logan Kilpatrick
    • The speakers introduce the topic of building AI-enabled applications with Gemini and the role of AI Studio in prototyping.
  • 00:48:15 · Use Case: Kitchen Renovation — Paige Bailey
    • Paige proposes a personal project—remodeling her 1970s kitchen—as a practical test for Gemini’s capabilities.
  • 01:31:00 · Demo: Generating a Renovation Plan — Paige Bailey
    • Using AI Studio, Gemini generates a highly detailed prompt, then uses multi-modal inputs to create a comprehensive renovation plan, showing its reasoning process.
  • 04:27:15 · Demo: Visualizing the Renovation — Logan Kilpatrick
    • Gemini generates a photorealistic image of the remodeled kitchen and then iteratively edits the image based on a simple text command.
  • 05:56:00 · Conclusion and Call to Action — Paige Bailey
    • The speakers summarize the power of Gemini’s integrated features and show how to move from an AI Studio prototype to a full application with an API key.

Products Announced (3)

  • 00:37:20 · Google AI Studio (Refresh) (Generally Available)
    • Grounding with Google Search · Access to latest Gemini experimental models · New UI
    • Free to start prototyping.
  • 02:14:15 · Gemini 2.5 Pro Preview (Preview)
    • Reasoning model with ‘Thinking’ process visibility · Large context window (65k output tokens mentioned) · Multi-modal input processing
    • Available in AI Studio.
  • 04:28:20 · Gemini 2.0 Flash (Image Generation) (Experimental)
    • Fast image generation · Native image editing and in-painting · Integrated into AI Studio
    • Available in AI Studio.

Demos (1)

  • 01:31:00 ✓ · AI-Powered Kitchen Renovation Planning — Paige Bailey
    • A three-part demonstration in AI Studio: 1) Gemini generated a detailed prompt for itself. 2) Gemini used multi-modal inputs (photos, sketches) to create a comprehensive renovation plan, showing its reasoning. 3) Gemini generated and edited images of the proposed kitchen design.

Notable Quotes (4)

  • 00:16:15 — Logan Kilpatrick:

    Can the model actually help solve this problem that we have in our head?

  • 01:03:15 — Paige Bailey:

    I’m an engineer, not a general contractor.

  • 03:53:10 — Logan Kilpatrick:

    We’re using grounding with Google Search… the model can pull that information in and actually make this not only like a theoretical renovation plan, a super practical one that’s grounded in reality.

  • 05:06:20 — Paige Bailey:

    This beautiful pewter green backsplash, which is a new word that I learned.

Visual Signals

On-screen (6)

  • 00:01:20 · Google Cloud NEXT '25
    • Establishes the event branding and year.
  • 00:05:20 · Paige Bailey, AI Developer Experience Engineer, Google DeepMind Logan Kilpatrick, Senior Product Man
    • Introduces the speakers and their roles.
  • 00:09:15 · Gemini models in AI Studio
    • States the official title of the presentation.
  • 00:21:05 · Google AI Studio: Rapidly build with the latest Gemini models
    • Introduces the key product being demonstrated.
  • 00:37:20 · Google AI Studio features: All the latest Gemini experimental models, Grounding with Google Search,
    • Highlights the new features being discussed and demonstrated.
  • 06:19:00 · Start building in AI Studio goo.gle/ais [QR Code]
    • Provides a clear call to action for developers to try the tool.

Stage (2)

  • 00:05:10 · Paige Bailey and Logan Kilpatrick walk on stage to a central podium with two monitors.
  • 06:23:15 · The speakers walk off stage as the presentation concludes.

Visual demos (7)

  • 01:34:00 · The Google AI Studio UI, showing a prompt titled ‘1970s Kitchen Remodel Prompt’.
    • A dark-mode interface with a large text input area, a model selector (‘Gemini 2.0 Flash’), and various tool settings on the right sidebar.
  • 02:13:20 · A new AI Studio prompt with multi-modal inputs.
    • A photo of an existing kitchen and a hand-drawn floor plan sketch uploaded as inputs alongside a text prompt.
  • 02:46:00 · The ‘Thinking’ box in the AI Studio output.
    • A blue-highlighted box showing the model’s step-by-step reasoning process, including deconstructing the request and forming an information gathering strategy.
  • 03:55:15 · The ‘Grounding with Google Search’ toggle in the AI Studio sidebar.
    • A toggle switch labeled ‘Grounding with Google Search’ is shown in the ‘on’ position.
  • 04:53:25 · The first image generated by Gemini.
    • A photorealistic image of a remodeled kitchen with white and wood cabinets and a green tile backsplash. The filename ‘Generated Image April 10, 2025 - 2:39PM.jpeg’ is visible.
  • 05:42:00 · The second, edited image generated by Gemini.
    • The same kitchen image, but now with two glass globe pendant lights added over the island, based on the simple text prompt ‘Please add two globe pendant lights’.
  • 06:11:10 · The API Keys page in Google AI Studio.
    • A screen showing how to create and manage API keys to use the Gemini API in applications, including a cURL example.

Key Topics

Generative AI · Google Gemini · AI Studio · Multimodality · Image Generation · Image Editing · Prompt Engineering · AI-powered Applications · Rapid Prototyping · Reasoning Models · Grounding · Google Search Integration · Vertex AI · Developer Tools · AI Use Cases

Takeaways

  • Google AI Studio is the central platform for developers to rapidly prototype and experiment with the latest Gemini models.
  • Gemini demonstrates powerful multi-modal capabilities, seamlessly integrating text, images, and sketches to understand complex requests and generate comprehensive outputs.
  • The new ‘Thinking’ feature in reasoning models provides valuable insight into the AI’s problem-solving process, enhancing transparency and debuggability.
  • The ‘Grounding with Google Search’ feature makes AI outputs more practical and factually accurate by allowing models to access and incorporate real-time information from the web.
  • Gemini 2.0 Flash enables fast, high-quality, native image generation and iterative editing directly within the AI Studio workflow, turning text descriptions into visual realities.
  • The entire workflow, from a simple idea to a detailed plan and visual prototype, can be accomplished within a single, integrated environment.
  • Prototypes created in AI Studio are designed to be production-ready, with a clear path to scaling via API keys and integration with Google Cloud and Vertex AI.