
Hi everyone,
A very warm welcome to all new subscribers!
Many of you have graduated from AI Operator’s AI-First Training this year. I hope you are proud of your achievements and looking forward to a productive and successful 2026.
This week’s guide focuses on three fantastic Google AI tools that have the potential to replace some of your existing stack.
As the year draws to a close, it’s the perfect time to analyze your setup and ask yourself what’s working, and what’s adding unnecessary complication.
Now let’s get into the content!
Today at a Glance
The Guide: How Google’s latest AI tools can replace big chunks of a typical tech stack
News: New features and releases from OpenAI and Google Labs.
Content to Enjoy: The AI tensions leaders need to manage, how to close the year strong, and why IRL businesses are on the rise.
Tools to Try: ChatGPT image generation, Google’s CC personal assistant, plus research and audio tools.
One clear theme running through it all: AI is here to remove friction, not take away meaning, creativity, or human connection.
📘 The Guide: How Google AI Tools Could Replace 50% of Your Tech Stack
This year, Google released three major AI tools that, together, can replace a surprising amount of typical SMB software.
Gemini 3 Pro — a reasoning-heavy model with a 1 million token context window.
Google AI Studio — a no-code platform for building AI apps from plain English.
Antigravity — an AI-powered IDE (Integrated Development Environment) where agents write, run, test, and verify code.
This guide gives you a practical overview of what each tool can do.
By the end, you’ll be wondering: which tools in our stack are now redundant?
1. Gemini 3 Pro: AI that understands your whole business
Gemini 3 Pro is Google’s most advanced reasoning model, capable of working with real business context.
Why it’s different
1 million token context window — You can give it your entire business context in one go: policies, SOPs, onboarding docs, pricing rules, support macros, brand guidelines, and more.
Multimodal reasoning — Reasons across text, images, PDFs, screenshots, audio, video, and code.
Agentic capabilities — Can take actions using tools and APIs, not just respond with text.
Deep Think mode — The Ultra plan enables multi-step reasoning that feels closer to a junior operator or analyst than a chatbot.
How to use it
Gemini 3 Pro shines when the task depends on understanding your business rules, not just generating text.
Common SMB use cases:
Smart knowledge base — Replace Slack interruptions and internal wiki searches with one system you can query: “What’s our refund policy for enterprise clients in Europe, and where does it differ from SMBs?”
Customer support that understands nuance — Draft replies grounded in policies, past tickets, and product docs without breaking rules.
Brand-safe content creation — Generate content that follows brand constraints and knows your story.
Decision stress-testing — Use Deep Think to surface risks in pricing changes, onboarding flows, or internal processes.
Gemini results will reflect the quality of your documentation, so make sure your internal data is complete and accurate.
Tools it might replace
Notion / Confluence
Slack ask-and-answer workflows
Internal SOP wikis
Policy and compliance lookup tools
Generic assistants with small context limits
2. Google AI Studio: build apps by describing them
Google AI Studio is a no-code / low-code environment for building real, deployable AI apps using plain English.
The standout feature is Build Mode. You describe what you want, and AI Studio generates a working web app you can deploy immediately.
Examples:
“A proposal generator that follows our pricing rules”
“A customer-facing FAQ bot grounded in our docs”
How to use it
AI Studio is best when you want repeatable workflows.
Typical use cases:
Replace internal tools or niche SaaS apps — Build your own custom onboarding assistants, proposal generators, HR bots, reporting tools.
Launch interactive marketing tools — Micro-sites where copy, visuals, video, and logic live in one place.
Customer support bots — Based on your documentation, without custom dev work.
Workflow automation — Build automations that normally require several tools, and run the entire workflow in one interface.
This is ideal for non-technical teams, rapid prototyping, and internal tools that would never justify custom development.
Tools it can replace (or consolidate)
Zapier (for simple to mid-complex workflows)
Retool / internal dashboards
Basic customer support bots
Webflow + embedded tools (for simple apps)
Typeform + backend logic
Custom GPTs spread across platforms
Workflows that connect Notion, docs, and spreadsheets
3. Antigravity: AI agents that build software
Antigravity is an AI-powered IDE where agents don’t just suggest code, they build software end to end.
Agents can:
Read an existing codebase
Write features
Run tests
Deploy apps
Verify results with screenshots and test artifacts
Multiple agents can work in parallel, each with access to a code editor, terminal, and browser.
Example use cases
Speed up feature development and bug fixes without expanding your dev team.
Clear internal tooling or integration work that never makes it out of the backlog.
Run parallel experiments on different implementations and compare outcomes.
Reduce DevOps and maintenance overhead by letting agents handle repetitive infrastructure tasks.
Antigravity multiplies the output of your dev team.
However, it still requires developer oversight and can struggle with extremely large, poorly documented legacy codebases.
Tools it might replace
GitHub Copilot (for broader task coverage)
Manual QA and test scripting tools
Internal scripting and automation tools
Some DevOps automation work
Prototype-heavy engineering sprints
Contractor-heavy “small build” work
Where to start this week
I’m not saying you should rip out your entire tech stack, but I am encouraging you to experiment. Try these tools on workflows you already have, and evaluate where they make things simpler, faster, or less fragmented.
To get started:
List your top 10 internal tools and workflows
Highlight anything that:
Exists mainly to move information between systems
Depends on company rules, policies, or documentation
Exists mainly because it’s always been there, not because it’s the best solution
Ask:
Could Gemini handle this instead?
Could AI Studio create a custom app to handle this?
Would Antigravity remove weeks of dev effort?
To learn more about Google’s top AI tools, check out my latest YouTube video:
📰 News
ChatGPT Images - OpenAI’s new image generation tool
OpenAI just rolled out a major upgrade to ChatGPT Images powered by a new image generation model that’s faster, more precise, and better at following instructions.
The update promises up to 4× quicker image creation, improved editing that keeps key details consistent, and a dedicated Images experience in ChatGPT to make visual creation smoother.
I can’t wait to see how it measures up to Nano Banana.
Google Labs released AI assistant CC
CC is an AI assistant powered by Gemini that aims to change how you start your day. Instead of jumping between apps every morning, CC connects to your Gmail, Calendar, and Drive to send you a personalized “Your Day Ahead” briefing straight to your inbox, highlighting key tasks, meetings, and priorities — and even drafting emails or calendar links to help you act fast.
It’s a simple but powerful feature, and another example of how Google consolidates workflows and reduces friction.
🎧 Content to Enjoy
📃 Article: The 5 AI Tensions Leaders Need to Navigate — Harvard Business Review
Harvard Business Review spoke to 100+ builders, execs, investors, advisors, and researchers worldwide to gather research on AI adoption.
This fascinating article highlights the trade-offs leaders have to manage: speed vs accuracy, automation vs augmentation, efficiency vs exploration, and how much AI decision-making should be centralized.
The takeaway? Successful AI adoption requires balancing these tensions and constantly adapting to change.
LinkedIn post: IRL is going to crush AI over the next 5 years — Jonas Willett
“Crush” might be an overstatement.
But I think this post will reassure people who are worried about what may be lost to AI.
It’s a necessary reminder that some things—like events, community, creativity, and IRL experiences—can never be replaced.
My take: AI-driven and human-led work can co-exist peacefully if we let AI handle what it’s good at, while humans double down on what can’t be automated.
📃 Article: Finish the Year Strong with a Team Wrap-Up Week — Harvard Business Review
Here’s another excellent HBR piece that will help you create a new team ritual: the end-of-year wrap-up week.
It offers practical advice on closing internal loops, reflecting on what happened this year, and using that clarity to build momentum and make sure everyone comes back recharged in January.
Tools to Try
ChatGPT Images — OpenAI’s new and improved image generation tool. I’ll be comparing it to my current favorite, Nano Banana.
CC - Google Labs’ experimental AI productivity agent in Gmail.
Gemini Deep Research Agent - One of the most advanced AI agents available for long, complex research and synthesis tasks.
SAM Audio - Meta’s new model for segmenting sounds using text prompts, for easier audio editing.
Cursor - New visual editor combining drag-and-drop with AI agents.
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TL;DR
Google’s latest AI releases are powerful enough to simplify tech stacks.
Leaders must balance speed, accuracy, and automation, and remain adaptable to change while adopting AI in business.
IRL business is booming, proving that AI automation and human work can co-exist.
A team wrap-up week can help you close loops, reflect, and recharge before the year ends, and come back motivated in January.
Thanks for reading 🙂
I’m off on holiday, so I wish you all a happy festive season! 🎄 🔔 🎅
The next edition will be a New Year’s Eve special.
See you on 31st December!



