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. 👇

This week’s top headlines weren’t just about flashy models - they showed where AI really matters: shaping global policy, driving tech strategy at giants like Meta, and influencing international economic and political agendas.

The World Economic Forum in Davos wasn’t just about politics - AI dominated the agenda. Leaders from Google, Anthropic, and TSMC shared bold predictions on AI’s role in the global economy, workforce shifts, investment trends, and ethical concerns, signaling that AI is now a core part of business and geopolitical strategy worldwide.

Meta’s freshly launched AI Superintelligence Labs delivered its first significant AI models less than six months in - a clear signal that the company is seriously revamping its AI strategy. These models aim to power future consumer and enterprise products, reshaping how Meta competes with the likes of Google and OpenAI.

AI geopolitics heated up this week as a U.S. House committee advanced legislation to give Congress authority over AI chip exports to China and other rival nations. This marks a major shift in how AI hardware governance is being debated, with global tech supply chains squarely in the spotlight.

Here’s guide #6 - The prompt database.

If prompt writing has ever made you pause and think, “am I doing this right?” - you’re not alone. The good news is you don’t need fancy jargon or a 12-step prompt ritual to get great results, you just need a simple structure you can reuse.

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

Fine-tuning has become the “default answer” anytime AI doesn’t sound quite right - but for most people, it’s the most expensive way to solve a simple problem

In today’s Brew & AI, I’m breaking down the real difference between fine-tuning and prompt engineering, and why smarter prompts usually get you on-brand results in minutes - without the cost or complexity ☕️

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