November 25, 2025

Build your own agents in Google Workspace Flows

Plus: ChatGPT Group Chats, Gemini 3.0, and Nano Banana Pro.
Evelyn Le
By
Evelyn Le
Strategic Product Lead

Build agents and automate workflow with Google Workspace Flows

Presented by

Google Workspace Flows is Google’s no-code automation tool that lets you turn everyday work across Gmail, Drive, Calendar, Docs, and Sheets into AI-powered workflows.

You can describe what you want in plain language, and Flows builds the workflow for you using Gemini. It runs securely within your Workspace environment and automates repetitive tasks that normally take hours.

What Workspace Flows can do:

  • Generate workflows from a natural-language description using Gemini
  • Trigger automations from emails, meetings, file changes, form submissions, or schedules
  • Pass variables (meeting details, email text, file content) directly into Gemini prompts
  • Let Gemini pull context from the web, your Drive, or connected apps
  • Send outputs to Sheets, Docs, Gmail drafts, Chat, or chain multiple steps together
  • Support conditional logic and multi-step processes
  • Run silently in the background while you continue working

In this edition, we will walk through how to build a meeting-prep agent in Workspace Flows in 5 simple steps.

Step 1: Describe your workflow in plain language

Start by telling Gemini exactly what you want.

In this example:

I want to receive a prep note before any meeting I have. Please search for related emails to give me context and information.

Gemini will auto-build a draft workflow based on your description.

Step 2: Refine the flow

You can adjust each part of the flow to fit your needs.

(a) Timing

Increase the time offset. For example, from 10 minutes to 2 days before the meeting so you have time to prepare.

(b) Gemini prompt

Specify what context Gemini should use.

Here, we tell it:

  • use the Meeting description variable
  • search related emails for additional context
  • and choose whether Gemini pulls information from Web + Workspace + Connected Apps, or from Web only

About Variables: Gemini in Flows exposes dynamic data like meeting title, description, attendees, emails so you can pass real-time context into the prompt.

(c) Output destination

Flows defaults to sending the output to Google Chat, which I don’t use.

So I add a new step: “Add a row to a Google Sheet”, and map each column to the variables (e.g., meeting title, description, action items).

Now the workflow is ready for a test run.

Step 3: Enhance the prompt

After running the first version, the information is there in the correct columns, but it’s too verbose.

I refine the prompt to:

  • avoid repeating details already captured in the Sheet columns
  • keep one clear description sentence
  • list action items as concise bullet points

This makes the summary sharper and more practical.

Step 4: Review and finalize

Run the flow again.

Now the output is clean, concise, and exactly aligned with what you need before a meeting.

When you’re satisfied, click Turn on, and your agent will now run automatically for every meeting.

Step 5: Explore ready-made workflow templates

Beyond custom prompting, Google Workspace Flows provides templates you can turn on immediately such as:

  • daily unread-email summary
  • notify me about emails from key people
  • auto-add email attachments to Drive
  • label emails with action items

Templates are a quick way to layer additional productivity boosts on top of your custom agent.

Workspace Flows gives you a practical way to automate real work without changing how you already use daily apps in the Workspace.

PRO Members: watch the video tutorial here: ​In 5 Steps: Build your own agents in Google Workspace Flows​

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Your AI Team: ChatGPT Group Chats, Gemini 3.0, Nano Banana Pro, and more.

Every week, I report on the top updates to your favorite AI tools.

This week, it's definitely the era of agents:

ChatGPT adds Group Chats for Teams: Your AI Team gets a shared workspace

OpenAI has launched ​Group Chats​ in ChatGPT, a collaborative update that allows teams to work with the AI together rather than individually. Teams of up to 20 people can now invite ChatGPT into a shared conversation, making it easier to brainstorm, plan, decide and co-create.

Here are the key updates:

  • Shared chat spaces with ChatGPT: Users can start a new group chat or transform an existing chat by tapping the “people” icon and inviting others via link. Group chats are clearly separated from private conversations.
  • Team-centric AI behaviour: ChatGPT now understands group dynamics. It listens, responds when relevant, and stays quiet when not asked. You can call it directly (e.g., “ChatGPT, what are the next steps?”) or it will jump in when implied.
  • Same advanced model engine: Group chats are powered by GPT‑5.1 Auto (or best available model for the user), enabling full feature support (file upload, image generation, voice/text) even in group settings.
  • Privacy and control built-in: Group chats don’t access your personal ChatGPT memory, and memories from the group chat are not used for your private profile. Also, you can manage participants, mute notifications, and maintain visibility on who’s in the chat.
  • Workspace-friendly use cases: For teams, this means fewer siloed conversations and more unified chats where ChatGPT can summarise ongoing discussions, flag open items, compare versions of a document, or even support onboarding by catching newcomers up.

Read more about ChatGPT Group Chats.

Gemini 3.0 pushes toward true agentic workflows

Google has introduced Gemini 3.0, a major upgrade designed to handle more complex reasoning, longer contexts, and multi-step tasks across Search, Workspace, and developer tools. It powers a more proactive “agent mode,” where Gemini can plan actions, gather information, and execute workflows instead of giving one-off responses. It’s also the model behind the latest improvements in the Gemini app, Chrome, and Vertex AI.

Explore Gemini 3.0

Nano Banana Pro brings studio-grade image generation to everyone

Google has released Nano Banana Pro, its new image-generation and editing model built on Gemini 3 Pro and it’s now free to try globally. It produces sharper visuals, handles text rendering reliably, blends multiple images, and outputs high-resolution (up to 4K) assets. For teams producing reports, social graphics, or prototypes, Banana Pro removes the need for external design tools for quick iterations.

Try Nano Banana Pro

NotebookLM adds automated Slide Deck generation

NotebookLM now lets you turn your documents into a complete slide deck with one click. You can choose between Detailed Decks for richer explanations or Presenter Slides for cleaner, high-level storytelling, plus set the language, deck length, and a custom prompt to match your audience.

Generate Slide Decks in NotebookLM

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