Each week, I’ll share how to make sense of AI - no jargon, no hype, just simple insights you can actually use.

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Grab your coffee - let’s dive in. 👇

OpenAI is expanding access to ChatGPT by bringing its low-cost “Go” plan to the U.S. (and everywhere ChatGPT is available) for $8/month, while also preparing to test ads for free and Go users in the U.S. soon. The goal is to reduce usage limits and make AI more affordable without compromising trust.

OpenAI says ads will never influence ChatGPT’s answers, will be clearly labeled, and will stay separate from the organic response. They also emphasize strong privacy protections, including not selling conversations or user data to advertisers. Users will have control over ad personalization (including turning it off), and paid tiers like Pro, Business, and Enterprise will remain ad-free.

Apple just made a surprise AI move: Gemini will power key Apple Intelligence features, including a new Siri
It’s a huge win for Google, validating Gemini’s leap forward and giving it access to Apple’s massive iPhone distribution
For Apple, it’s a smart shortcut to ship better AI faster, but also a signal its in-house models still aren’t ready
And for OpenAI, it’s a real blow, losing prime placement inside Siri and risking slower user growth.

Samsung revealed plans to embed AI throughout its 2026 smartphone lineup, expanding intelligent features to hundreds of millions of devices. This means AI will no longer be a niche add-on - it’ll be a standard part of everyday phones around the world.

Here’s guide #5 - The ultimate prompt formula.

Prompt writing doesn’t have to be scary (or feel like some secret AI spell you need to master). The real difference between a “meh” output and a chef’s kiss one is usually just structure. That’s why I put together a simple guide that breaks prompt writing into a repeatable formula you can use for almost anything - whether you’re asking AI to write, plan, brainstorm, or think with you.

Grab it below and feel free to steal it for your own workflow ☕

AI models keep getting new numbers - GPT-4.5, GPT-5, GPT-5.2, Claude 4.5 Sonnet, and somehow, the confusion keeps growing. Is a higher number always better? Should you upgrade just because there’s a new release?

In this week’s Brew & AI, I break down what these version numbers actually mean, why some updates are big generational shifts while others are just refinements, and how to choose the right model for the work you’re doing - without chasing shiny upgrades ☕️

Hope you like this one - do leave me a like once you’re done reading it, helps me better understand what concepts stick and how to plan ahead.

That’s it for this week’s brew.

I’d love to hear what you think - what you liked, what could be better, or what you’d love to see next.

Just hit reply - I read every message over my morning coffee ☕.

Brew & AI
Making AI simple, one sip at a time