Google has been releasing AI tools at such a fast pace that it is surprisingly easy to miss some of the best ones.
Most people know Gemini.
Far fewer have tried Google’s AI marketing assistant, its no-code workflow builder, its UI designer, its autonomous coding agents, its AI filmmaking studio, or the research tool that can turn your own documents into an audio discussion.
I started looking deeper into Google's current AI lineup and found something interesting: you could build a remarkably capable AI toolkit using Google products before paying for another collection of monthly software subscriptions.
Some of these tools are completely free. Others provide a free tier, free daily credits, or limited free usage. Features and limits can change, so I have noted the major restrictions where they matter.
Google’s free Gemini tier currently includes access to Gemini, limited access to its more advanced models, image generation and editing, Deep Research, Gemini Live, Canvas, and Gems. Google Labs has a separate collection of experiments covering marketing, design, automation, learning, and creation. (Gemini)
This is not a list of 20 random AI experiments.
I want to show you what each tool can actually do, how you might use it, and which paid software it could potentially reduce your need for.
You certainly don't need all 20.
Find two or three that solve problems you already have.
That is where this gets interesting.
1. Google Gemini — Your Starting Point for Everyday AI
If you have never seriously used Google's AI tools, begin with Gemini.
Gemini is Google's general-purpose AI assistant. You can use it for writing, planning, brainstorming, research, analyzing files, generating images, working with code, and many other everyday jobs. Google currently offers a $0 Gemini plan for Google account holders. (Gemini)
Think of Gemini as the front door to Google's larger AI ecosystem.
How to Use Gemini Step by Step
Go to Gemini and sign in with your Google account.
Instead of asking a vague question such as:
Give me some marketing ideas.
give Gemini a job with context:
I run a small online business selling a beginner-friendly course about creating digital products. My customers are usually 35–60 and are interested in earning extra income but don't consider themselves technical. Give me 10 article ideas based on problems these customers are likely trying to solve.
Then continue the conversation:
Rank these by buyer intent.
Then:
Take the strongest idea and create an H1/H2/H3 article outline.
Then:
Give me five Facebook post ideas promoting this article without sounding overly promotional.
One conversation has now helped with customer research, content planning, SEO structure, and social promotion.
What Could Gemini Reduce Your Need For?
Depending on how you use it, Gemini may reduce how often you need separate tools for:
- brainstorming
- basic copywriting
- summarization
- research assistance
- simple image generation
- document analysis
- coding help
- planning
The point isn't to replace every specialist application.
It is to stop paying for five AI subscriptions that are doing variations of the same basic task.
2. Gemini Notebook — Formerly NotebookLM
This may be the Google AI tool I would recommend most strongly to anyone who researches, writes, studies, teaches, consults, or creates content.
You may know it by its former name, NotebookLM.
In July 2026, Google renamed NotebookLM Gemini Notebook. Google states that it is the same product and existing notebooks remain available. (Gemini Notebook)
What makes Gemini Notebook different from a normal chatbot is simple:
You give it the sources you want it to work from.
Instead of asking AI to answer from broad training knowledge, you can create a notebook containing material such as documents, research, websites, lecture notes, and other sources, then ask questions grounded in that collection.
Google currently positions Gemini Notebook as an AI research and thinking partner. (Gemini Notebook)
How to Use Gemini Notebook Step by Step
Suppose you are researching a business topic.
Create a notebook.
Add your source material.
Perhaps you have:
- three industry reports
- five useful articles
- a research PDF
- notes from a webinar
- your own previous article
- a transcript
Now ask:
What are the five problems that appear most frequently across these sources?
Then:
Which sources disagree with one another?
Then:
Find claims that would be useful in an article about this subject and tell me which source supports each claim.
Then:
Create an article outline based only on these sources.
This is a very different research process from copying snippets into a chatbot one at a time.
Turn Your Research Into Other Formats
Gemini Notebook has grown far beyond summarization.
Google has added capabilities such as study aids, Audio Overviews, slide decks, and increasingly sophisticated video summaries. Some advanced media features are restricted to paid tiers, but the underlying notebook and research workflow remains accessible without paying. (blog.google)
For a content creator, you could take one research notebook and turn it into:
Article research
→ outline
→ questions
→ summary
→ study guide
→ discussion
→ presentation ideas
→ audio learning material
That is why I think Gemini Notebook deserves to be near the top of this list.
3. Pomelli — Let Google Study Your Website and Help Market Your Business
Pomelli is one of Google's more interesting tools for small-business owners.
It comes from Google Labs and focuses on creating scalable, on-brand marketing content. (Google Labs)
Instead of beginning every AI marketing session by explaining your company from scratch, Pomelli can analyze your business and develop an identity it can use when generating content.
How to Use Pomelli
Start by giving Pomelli your business website.
Let it analyze your company.
Review what it has learned about:
- your business
- your brand
- your visual identity
- your messaging
- your audience
Then generate campaign ideas.
For example:
Create a campaign introducing our beginner's guide to AI automation. The audience is small-business owners who know AI could save time but don't know where to start.
You can then develop marketing assets around the campaign rather than generating unrelated posts one at a time.
Why Pomelli Is Interesting
There are plenty of AI copywriting tools.
There are plenty of image generators.
There are plenty of social-media tools.
Pomelli becomes interesting when those jobs start from an existing understanding of your business.
That could make it useful for entrepreneurs who repeatedly struggle with:
What should I post today?
Rather than beginning at zero, you begin with your brand.
4. Stitch — Turn a Sentence Into an App or Website Interface
Have you ever had an idea for an app but had no idea what the interface should look like?
That is the problem Stitch tries to solve.
Google currently describes Stitch as an AI design canvas that transforms natural language into high-fidelity user interfaces that you can keep refining and collaborating on. (Google Labs)
You describe the interface.
Stitch creates a visual design.
Try This
Instead of:
Design a finance app.
use something closer to:
Design a clean mobile dashboard for a budgeting app aimed at adults over 40 who don't enjoy complicated financial software. Show current checking balance, this month's spending, upcoming bills, savings goal, and recent transactions. Use large readable text and simple navigation.
Now you have a starting design.
Ask Stitch to change it:
Make the savings goal more prominent.
Then:
Simplify the bottom navigation to four items.
Then:
Create a desktop version of the same dashboard.
Who Should Try Stitch?
Stitch could be especially useful for:
- entrepreneurs
- app founders
- developers
- designers
- marketers
- people prototyping a SaaS idea
- people who have an idea but cannot design
You may still want a professional designer for an important commercial product.
Yet there is a huge gap between an idea in your head and a visual prototype.
Stitch can help close that gap.
5. Google Opal — Build AI Workflows Without Traditional Programming
Most people use AI like this:
Ask question.
Get answer.
Ask another question.
Get another answer.
Then repeat the same sequence tomorrow.
Opal lets you approach AI differently.
Google describes Opal as a way to create AI-powered mini-apps and workflows. You can describe what you want in normal language, then work with the resulting process. Google currently operates Opal as one of its Labs products. (Opal)
A Simple Example
Suppose every time you write an article you perform this process:
- Research a topic.
- Find customer problems.
- Generate title ideas.
- Choose the strongest idea.
- Build an outline.
- Generate social posts.
Instead of doing those steps manually every time, tell Opal:
Build a mini-app where I enter a topic. Research the audience's major problems, create 10 article ideas, rank them by usefulness and buyer intent, choose the strongest idea, create an article outline, then generate five social-media hooks.
Opal can translate that idea into a workflow.
Why This Matters
This moves us from using AI to building repeatable AI systems.
The first place I would use Opal is not a giant business process.
Pick one annoying repetitive task.
For example:
- turn product information into listings
- turn one article into social posts
- analyze customer reviews
- research competitors
- prepare sales-call notes
- create newsletter ideas
- generate FAQ drafts
Build one useful workflow.
If it saves you 20 minutes each time you run it, you have created something genuinely useful.
6. Google AI Studio — Build AI Apps by Describing What You Want
Google AI Studio is where things become much more interesting for people who want to build.
It gives developers and increasingly non-developers a place to experiment with Gemini models and turn ideas into working AI applications.
Google has continued extending AI Studio's Build mode. In March 2026, Google said AI Studio could turn prompts into production-ready apps using Antigravity, with support for databases, multiplayer experiences, and connections to real services. (blog.google)
What Could You Build?
Perhaps:
Create a tool where the user enters a product name and target customer. Generate a value proposition, five advertising angles, three email subject lines, and a 30-second video script.
Or:
Create an app where users upload customer reviews. Categorize the reviews by complaint, compliment, feature request, and purchase objection.
You can begin with the behavior you want rather than writing every line of the application manually.
Who Should Explore AI Studio?
Try it if you have ever thought:
I wish there were an app that did this.
That thought used to lead directly to:
I need a developer.
Now it can lead to:
Let me see how much of this I can prototype myself first.
That is a major shift.
7. Google Flow — Create AI Images and Video
If you create content, advertising, YouTube videos, social posts, or product demonstrations, Google Flow deserves attention.
Flow is Google's AI creative studio built around its generative media models.
Google's Veo models can create video, and Flow provides tools for controlling scenes, reference images, frames, characters, audio, and visual continuity. (blog.google)
Here is the part many people may not know:
Google currently gives users without a subscription 50 Flow credits per day at no charge. (Google Support)
That makes Flow much easier to experiment with before paying.
How to Start
Create one short scene.
For example:
Cinematic wide shot of a small bakery opening before sunrise. The owner turns on the lights, places fresh bread into a window display, warm light inside, quiet blue morning outside, realistic camera movement.
Generate it.
Look at what is wrong.
Then refine.
Perhaps:
Keep the same bakery and owner. Move the camera closer as she places the final loaf on the shelf.
Flow works best when you start thinking in shots and scenes rather than asking AI to make an entire movie in one prompt.
Free Image Generation Is Interesting Too
Google announced in February 2026 that Nano Banana 2 became Flow's default image-generation model and is available to Flow users for zero credits. (blog.google)
For creators, that means Flow can become useful long before you spend money on high-volume video generation.
8. Google Vids — AI Video Creation for Anyone With a Google Account
Google Vids used to feel primarily like a Workspace product.
That changed.
In April 2026, Google announced that anyone with a Google account could use Vids to generate AI video clips with Veo 3.1, including 10 free video generations per month for personal accounts. (blog.google)
This makes Vids one of the easiest Google video tools for beginners to try.
What Can You Make?
Think less Hollywood.
Think practical video.
For example:
- product explanation
- business introduction
- quick tutorial
- social video
- side-hustle promotion
- internal training video
- presentation
- birthday montage
- simple YouTube segment
Google describes Vids as an easy-to-use video editing suite and now permits personal users to generate clips from prompts or photos. (blog.google)
A Simple First Project
Create a 30–60 second introduction to your business.
Write:
Create a short introduction explaining how our business helps first-time entrepreneurs use AI without needing technical experience.
Then use the generated material as a starting point.
Edit the words.
Replace generic imagery.
Add your real brand.
AI works much better when it gets you to version one quickly, then you make version one yours.
9. Mixboard — Think Visually With AI
Mixboard is another Google Labs experiment that deserves more attention.
It is an AI concepting board.
The easiest way to think about it is:
Pinterest-style visual inspiration meets generative AI and a creative workspace.
Instead of generating one isolated image and starting over every time, you can develop a collection of related ideas.
How I Would Use It
Suppose I am developing branding for a new coffee product.
I might begin with:
Create visual directions for a premium Japanese-inspired coffee brand. Minimal packaging, warm natural materials, morning light, elegant rather than rustic.
Now I have a visual direction.
Perhaps I like the package from one concept, the atmosphere from another, and the photography from a third.
That is the strength of a concept board.
You are not simply asking:
Give me another picture.
You are developing an idea visually.
Google currently lists Mixboard among its active Labs experiments. (Google Labs)
Useful Projects for Mixboard
Try it for:
- brand identity
- website direction
- product packaging
- advertising concepts
- interior ideas
- photoshoot direction
- social-media campaigns
- YouTube visual concepts
If your current creative process involves 40 screenshots scattered across folders, this type of visual workspace may feel refreshingly different.
10. Google Antigravity — An AI Development Platform With a Free Individual Plan
This one sounds like it belongs in a science-fiction movie.
It is actually a Google development platform.
Google describes Antigravity as an agentic development environment where you can build using AI agents. Antigravity 2.0 expanded the idea into a command center where multiple local agents can work across projects and workspaces. (Google Antigravity)
The surprising part is the price.
Google currently lists an Individual plan at $0 per month. It comes with basic weekly rate limits, with higher limits available through paid tiers. (Google Antigravity)
What Does “Agentic Coding” Mean?
Traditional coding AI might suggest:
Here is some code.
An agentic development system can take on a larger assignment involving files, tools, testing, and multiple steps.
You might say:
Build a simple web application where users enter a URL and receive five social-media content ideas.
Then work with the agent as the project develops.
You Still Need to Test Everything
AI-generated software can contain:
- bugs
- security problems
- strange assumptions
- broken mobile layouts
- incomplete error handling
Don't confuse “AI built it” with “it is ready for customers.”
The exciting part is how quickly you can move from idea to prototype.
11. Jules — Give a Coding Task to an Autonomous Google Agent
Jules is another Google coding agent, but the workflow is different from sitting in an editor getting suggestions.
Jules can take an assigned coding task and work on it more independently.
Google currently offers a free Jules tier with:
- 15 tasks per rolling 24 hours
- 3 concurrent tasks
Higher limits come with paid Google AI plans. (Jules)
What Could You Ask Jules to Do?
Examples:
Add unit tests for this feature.
Find and fix the bug causing the checkout form to fail when the phone field is empty.
Update this project to use the new API.
Add a dark mode.
Review this repository and identify outdated dependencies.
You assign the work more like you would assign a task to another developer.
Who Should Use Jules?
This is clearly more relevant to developers than the average marketer.
Yet entrepreneurs using AI to build small software projects may find it increasingly useful.
AI coding is moving away from:
Tell me how to do this.
and closer to:
Here is the task. Work on it.
12. Google Colab With AI — Coding and Data Analysis in Your Browser
Google Colab has been popular for years.
It lets you run Python notebooks through a browser without setting up a complicated local programming environment.
AI has made Colab much more approachable for people who aren't programmers.
A notebook can combine code, explanations, calculations, charts, and data in one document.
A Marketing Example
Upload a CSV containing your website traffic.
Ask AI to help you:
- clean the data
- identify the best pages
- compare traffic by month
- calculate conversion rates
- chart trends
- find unusual changes
Instead of saying:
I don't know Python.
you can say:
Explain what code I need to calculate the average conversion rate for each traffic source.
Then learn from what the AI creates.
For people interested in data analysis, Colab sits in an interesting place between spreadsheet work and full software development.
13. Gemini Deep Research — Let AI Do Multi-Step Web Research
Ordinary AI chat is good for quick questions.
Deep Research is meant for questions that require far more work.
Google describes Gemini Deep Research as a research assistant capable of analyzing large collections of sources and producing detailed reports. It can work from the web and can draw context from connected Google sources in supported configurations. (Gemini)
Google's current free Gemini tier includes Deep Research, and a July 2026 update made Deep Research available through Gemini 2.5 Flash for people to try at no cost. (Gemini)
Don't Ask It Tiny Questions
This:
What is affiliate marketing?
does not need Deep Research.
This does:
Research how AI-powered search is changing organic traffic for independent publishers. Compare evidence from search companies, SEO platforms, publishers, and industry research. Identify areas where sources agree and disagree. Focus on changes from 2024 through 2026 and give me a source-linked report.
Now the deeper research process makes sense.
Great Uses for Deep Research
- industry reports
- competitor research
- purchase research
- article preparation
- market research
- travel comparisons
- technology research
- business planning
When the question deserves 30 minutes of searching rather than 30 seconds of chatting, Deep Research becomes useful.
14. Gemini Live — Talk to Your AI
Typing is not always the easiest way to use AI.
Gemini Live lets you talk conversationally.
Google includes Gemini Live in its current free Gemini offering. (Gemini)
That may sound like a small difference until you use AI when you are:
- walking
- cooking
- driving with hands-free controls
- brainstorming
- looking at something through your camera
- trying to work through a difficult idea
Try Thinking Out Loud
Instead of sitting at a keyboard trying to create a perfect prompt, say:
I have an article idea but I'm not sure what the real hook is. The article is about free Google AI tools. Ask me questions until we find an angle that would make someone want to click it.
Now you have a conversation.
You can interrupt.
Change your mind.
Clarify.
Develop the idea naturally.
For some types of thinking, that feels much closer to talking something through with another person.
15. Gemini Gems — Build Your Own Reusable AI Assistant
If you keep giving Gemini the same instructions, create a Gem.
Google's free Gemini tier currently includes Gems. (Gemini)
A Gem is a reusable custom AI configuration.
Instead of repeating:
You are helping me create SEO articles. Always begin by researching the subject, create an H1/H2/H3 outline, use short paragraphs…
you can create an SEO Gem once.
Ideas for Useful Gems
Create a:
- SEO research assistant
- email editor
- customer-review analyzer
- social-content assistant
- sales-call planner
- study coach
- product-description assistant
- brainstorming partner
Why This Matters
One of the hidden wastes in AI is repeating instructions.
You spend five minutes getting the AI into the right role.
Then tomorrow you do it again.
A reusable assistant keeps your working method available.
That sounds simple.
Over hundreds of sessions, it can save a surprising amount of friction.
16. Gemini Canvas — Go Beyond a Chat Window
A chat conversation is fine for questions.
It is less convenient when you are building something.
Canvas gives Gemini a workspace for creating and refining documents, code, apps, interactive quizzes, webpages, and other projects. Google currently includes Canvas on its free Gemini tier. (Google AI for Developers)
Think of Canvas This Way
Chat:
Can you help me write an article?
Canvas:
Here is the article. Let's work on it.
That difference matters once a project becomes longer.
You can refine sections rather than continually generating fresh answers.
Google has expanded Canvas so Deep Research reports can become interactive content such as apps, quizzes, webpages, and infographics. (Gemini)
Projects to Try
- article
- report
- landing page
- calculator
- quiz
- simple app
- learning tool
- interactive explainer
If you regularly create long-form content or prototypes, Canvas may be much more useful than a basic chat window.
17. Learn Your Way — Turn Static Learning Material Into Personalized Lessons
Google Research's Learn Your Way takes traditional learning material and turns it into a more interactive experience.
Google released the research experiment in 2025 to explore how generative AI could transform static textbook material into personalized educational experiences. (blog.google)
What Makes This Different?
A traditional textbook gives everyone roughly the same explanation.
AI can adapt an explanation around the learner.
Suppose a teenager is learning physics but loves basketball.
A personalized learning system can use examples that connect unfamiliar ideas with something the learner already knows.
The material can then be explored through different formats rather than one block of textbook text.
Who Could Use It?
- students
- parents
- teachers
- adults learning new subjects
- employees studying unfamiliar material
- lifelong learners
It is worth remembering that AI should help someone learn rather than merely generate the answer they are supposed to discover.
Used properly, this kind of tool can become a tutor rather than a shortcut.
18. Illuminate — Turn Dense Research Into an AI-Generated Audio Discussion
Imagine finding an important research paper.
You open it.
Thirty pages.
Dense language.
Charts.
Technical terminology.
You think:
I really should read this.
Then you close the tab.
Illuminate is Google's experiment for making material like this easier to approach.
Google describes Illuminate as a generative-AI tool that turns research papers into AI-generated audio summaries. (Google Labs)
How I Would Use Illuminate
Do not treat the audio summary as a substitute for reading a critical paper.
Use it as the first pass.
Listen to the explanation.
Learn:
- the main question
- the basic argument
- major findings
- unfamiliar terminology
Then return to the original paper with a mental map.
It is much easier to read difficult material when you already know what you are looking for.
Illuminate vs. Gemini Notebook
There is some overlap.
Gemini Notebook is a broad research workspace built around your source collection.
Illuminate is much more focused on making difficult scholarly material easier to consume through audio.
If you read academic research frequently, it is worth experimenting with both.
19. Google Search AI Mode — Search Is Becoming an AI Conversation
Google Search has changed dramatically.
AI Mode lets you ask much more complicated questions, continue with follow-ups, and interact with Search more conversationally.
Google has expanded AI Mode to more than 200 countries and territories, and at Google I/O 2026 the company announced more agent-like Search capabilities. (blog.google)
Compare These Two Searches
Traditional search:
best CRM small business
AI-style search:
I run a five-person consulting business. We need a CRM mainly for email follow-up and managing leads. We don't have a dedicated salesperson. Compare five options that are easy to learn and cost less than $100 per month for the whole team. Explain which one is best for us and show sources.
That is a much richer question.
Then continue:
Remove any that require an annual contract.
Then:
Which two have the easiest migration from spreadsheets?
Search starts behaving less like a box for keywords and more like a research conversation.
Don't Stop Checking Sources
AI can summarize information incorrectly.
Prices change.
Features change.
Companies change policies.
For decisions involving money, health, law, or other high-stakes subjects, open the underlying sources rather than treating the generated summary as the final authority.
The greatest value of AI Search may not be replacing websites.
It may be helping you figure out which websites and information deserve your attention.
20. Gemini API — Put Google AI Inside Something You Build
The final tool is for people who want to move from using AI products to creating something of their own.
An API lets one piece of software communicate with another.
The Gemini API lets your application send information to Google's AI models and receive a response.
Google currently offers free-tier pricing for a number of Gemini API models and capabilities, though the exact models, limits, and pricing vary. (Google AI for Developers)
What Could You Build?
Suppose you own a real-estate website.
You could build a tool that turns property information into listing descriptions.
Or you run an ecommerce store.
Create a tool that categorizes customer reviews.
Or you run an agency.
Create an internal system that takes a client's business description and prepares a first-draft marketing brief.
You don't have to build the next billion-dollar AI company.
Sometimes the most valuable software solves one small repetitive problem inside your own business.
Start Small
A good first API project might be:
Input:
Product name + description + customer
Output:
- product positioning
- five benefits
- three ad ideas
- five FAQ questions
- social caption
Once that works, build from there.
Which Google AI Tool Should You Try First?
Twenty tools sound exciting.
Twenty new accounts do not.
So don't try to master all of them.
Choose based on your current problem.
If You Create Content
Start with:
Gemini → Gemini Notebook → Flow → Google Vids
Gemini helps develop ideas.
Gemini Notebook helps research.
Flow handles generative visual creation.
Vids helps assemble practical video content.
If You Run a Small Business
Start with:
Gemini → Pomelli → Opal
Gemini handles everyday AI work.
Pomelli focuses on marketing.
Opal can convert repetitive AI tasks into reusable workflows.
If You Want to Build an App
Start with:
Stitch → AI Studio → Antigravity
Stitch helps develop the interface.
AI Studio lets you prototype AI-powered applications.
Antigravity takes you further into agent-assisted development.
If You Do Research
Start with:
Deep Research → Gemini Notebook → Illuminate
They solve different stages of research.
Deep Research helps discover information.
Gemini Notebook helps organize and question your chosen sources.
Illuminate can make difficult scholarly material easier to approach.
Can Free Google AI Tools Really Replace Paid Software?
Sometimes.
But this is where people can get carried away.
A free AI design tool does not automatically replace a professional designer.
A coding agent does not automatically replace an experienced software engineer.
A video generator does not automatically replace a filmmaker.
AI marketing content does not automatically replace good marketing strategy.
The more useful question is:
What am I currently paying for that I barely use?
Maybe you have:
- an AI writer
- an image generator
- a research subscription
- a video tool
- an automation service
- a coding assistant
- a presentation tool
Each one may cost only $10–$50 per month.
Together, they become hundreds of dollars.
For a company with several employees, duplicate subscriptions can become far more expensive.
Test free options before renewing software you rarely use.
If the paid product saves enough time or produces meaningfully better work, keep it.
If Google's free tool handles 90% of what you were paying for, you have a different decision.
Try This 7-Day Google AI Challenge
Instead of bookmarking this article and forgetting about it, spend one week testing the tools.
Day 1 — Gemini
Give Gemini one real task you would normally do yourself.
Day 2 — Gemini Notebook
Create a notebook around something you genuinely need to research.
Day 3 — Pomelli
Let Pomelli analyze your business and see what marketing ideas it produces.
Day 4 — Stitch or Mixboard
Create something visual.
It can be an app interface, website direction, brand concept, or campaign.
Day 5 — Opal
Identify one repetitive AI process and try turning it into a workflow.
Day 6 — Flow or Google Vids
Create your first AI video experiment.
Don't try to create a masterpiece.
Learn what the tool can and cannot do.
Day 7 — Choose Three
Ask yourself:
Which three tools saved me the most time?
Keep those.
Forget the rest until you need them.
That is a much healthier AI strategy than trying every new tool that appears on social media.
Final Thoughts: You Probably Don't Need 20 New AI Subscriptions
The biggest lesson from researching these tools wasn't that Google has created a lot of AI.
We already knew that.
The interesting part is how many different jobs are starting to become accessible from products with free entry points.
You can research.
Write.
Analyze documents.
Design an interface.
Create marketing campaigns.
Build AI workflows.
Generate images.
Make videos.
Analyze data.
Create custom assistants.
Prototype software.
Assign coding tasks to agents.
Build applications using an API.
A few years ago, doing all of that could have required an expensive collection of software and specialized skills.
Now one Google account can get you surprisingly far.
That doesn't mean the best software will always be free.
It means you should test what you already have access to before adding another monthly bill.
Start with the problem.
Then choose the tool.
Not the other way around.
Want 10 More Experimental Google AI Tools?
I stopped at 20 for a reason.
Google has at least 10 more AI tools and experiments that are fascinating but aren't quite as mainstream or practical for everyone yet.
Some explore entirely new ways to:
- create software
- work with AI agents
- generate interactive experiences
- perform scientific research
- discover new ideas
- create music
- explore generated environments
- collaborate with AI
Some could become major Google products.
Others may disappear.
That is what makes them interesting.
I've put the best ones into a separate guide:
10 Experimental Google AI Tools Worth Watching
Inside, I'll show you what each one does, who it could be useful for, its current availability, and why I think it is worth keeping an eye on.
Enter your email below and I'll send you the bonus guide.
Send Me the 10 Bonus Google AI Tools
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