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  • Google launches free Gemini courses for professionals

Google launches free Gemini courses for professionals

Plus: Meta wants to turn Instagram photos into outfits

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Hello, Prohuman

Today, we will talk about these stories:

  • Meta wants to make your Instagram photos useful beyond posting

  • Zest wants to replace restaurant search with AI

  • Google brings AI training to finance and legal teams

Last Chance to Invest in a Fast-Growing Popcorn Company

Popsmith’s investment round closes in a few weeks.

The brand is bringing popcorn back to the stovetop, with a patent-pending Popper and a growing line of kernels, oils, and seasonings.

Over 85,000 customers, $20M+ in lifetime revenue, and retail partners like Williams Sonoma, Costco, and Crate & Barrel show how far this premium popcorn brand has come in the $21B+ global market.

With revenue projected to jump more than 70% in 2026, the company is giving individual investors a chance to become shareholders. Get in before the round closes.

Explore the investment opportunity

Google is teaching finance and legal teams to use Gemini

Image credits: Google Cloud

Google is offering free Gemini training for people working in finance and law.

On October 30, Google Cloud announced new courses through Google Skills, its AI learning platform, aimed specifically at financial services and legal professionals.

The industry focus stands out.

Finance and legal teams deal with sensitive documents, strict processes, and work where small mistakes can have serious consequences.

I think Google is making a sensible move by offering training tailored to these professions, where employees need to understand how AI fits into their daily work before trusting it with important tasks.

Making the courses free also lowers the cost of getting started, potentially introducing more professionals to Gemini while companies evaluate which AI tools to adopt.

The announcement doesn't establish how effective the training will be, or whether it addresses the privacy and accuracy concerns these industries face.

Will free training be enough to make professionals comfortable using AI for sensitive work?

Meta quietly launches an AI wardrobe app

Image credits: Meta

Meta has quietly launched Style Sketch, an AI app that builds outfit suggestions from clothes you already own.

The app connects to Instagram to identify clothing from your photos, creates a virtual wardrobe, and lets you preview outfits on a model matched to your body shape and skin tone. It also suggests what to pack for trips based on the weather and planned activities.

It's currently available in three countries: Indonesia, Singapore, and Thailand.

The Instagram connection is interesting.

Most AI wardrobe apps require users to photograph their clothes individually, which can become tedious when you're standing in front of a full closet.

Meta already has years of outfit photos from its users, and I think that gives Style Sketch a practical advantage over smaller competitors.

Still, the concept isn't new. Its success will depend on how accurately the app recognizes clothes and whether people find the recommendations useful enough to return regularly.

There's also a privacy question around using personal photos to understand someone's wardrobe.

Will people want Instagram to become their personal stylist?

Zest thinks your dining history can make AI more useful

Image credits: Zest

Zest wants to handle dinner plans inside your text messages.

The startup has launched an AI concierge that recommends restaurants based on your actual dining history, using credit card transactions to understand where you eat. It can also join group chats, let friends vote on options, and book tables through OpenTable, Resy, or SevenRooms.

The group chat feature stands out.

Anyone who has watched five friends debate dinner plans on their phones knows that finding a restaurant everyone agrees on can take longer than expected.

I think Zest has identified a practical use for AI because it combines personal preferences with the ability to complete a reservation.

The company has raised $1.8 million in pre-seed funding, and its next challenge is turning that convenience into a business.

Booking commissions could help, but users will also need to feel comfortable sharing their spending history for better recommendations.

Will people trust an AI with their card data just to make dinner plans easier?

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