Welcome Automaters!

AWS re:Invent 2025 just kicked off, and honestly? Day one already feels like an entire tech quarter packed into a single, chaotic, glorious morning.

So buckle up — we’re serving the biggest drops from the show and breaking down why they matter for, well… the future of everything.

Here's what we have for you today

📣 AWS re:Invent 2025 Highlights: The Biggest AI Announcements You Need to Know

AWS re:Invent 2025 just opened — and Amazon basically backed up a dump truck full of AI news and unloaded it all at once.

So here’s everything that actually mattered, in one rapid-fire rundown so you can sound extremely informed with absolutely zero effort.

The First big theme is AI agents. Everywhere.

Matt Garman kicked off the keynote basically saying: “Assistants are cute, but agents are where the money’s at.”

And he wasn’t kidding, because Amazon spent the whole morning proving it.

Let’s start with the silicon flex.

  • Trainium3: AWS dropped Trainium3, an upgraded AI training chip promising 4x the performance, major inference boosts with 40% less power draw. That alone could’ve been the headline… but nope, Amazon also previewed Trainium4, which plot twist will be compatible with NVIDIA’s ecosystem. So yes, the two biggest chip ecosystems just shook hands.

  • Next up: AgentCore upgrades:  If you’re building AI agents, Amazon basically threw you a party. You get better policy controls to set boundaries without the headache, agents that actually remember past interactions, and 13 prebuilt evaluation systems so you can measure whether your agent is elite… or pure chaos.

That alone is going to save startups 400 hours of headaches per year.

But the real star of the show? Frontier Agents.

Amazon basically dropped three autonomous workers:

  • Kiro — an autonomous coding agent that learns how your team works and then… just keeps coding for hours or even days without supervision

  • A security agent that runs code reviews

  • A DevOps agent that catches incidents before your code goes live and explodes

Honestly? Wild.

And then there’s the Nova update.

Amazon refreshed its Nova model family with four new models including: three text models, plus one multimodal model that handles both text and images.

But the real MVP? That’s Nova Forge — a system that lets companies take pre-, mid-, or post-trained models and top them off with their own data. The pitch here is crystal clear:  Maximum customization with minimum fuss.

We also got a real-world win: Lyft revealed its AWS-powered Claude agent is now handling rider and driver issues, cutting resolution time by 87%.

And drivers? They’re using it 70% more.  That’s not just “better performance.” That’s a full-on upgrade for the entire company.

Lastly, Amazon casually dropped AI Factories — basically mini AWS data centers that companies can deploy inside their own data centers for total data control.

It’s basically: AWS + NVIDIA + “yes, the government is 100% buying this.”

 So, what's the Big Picture?

AWS is betting that the next era of AI is not models — it’s agents. Automated workers. Systems that don’t wait for your prompt — they just go.

And with new chips, upgraded models, powerful agent tooling, and private AI factories all landing on day one? Amazon’s not hinting. They’re saying it loud: they’re building the whole stack.

We’ll keep our eyes peeled and update you if anything else game-changing drops while the event runs. 

For now, if any of these updates caught your attention, hit the links we added to learn more or follow the event live.

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✍️ Editor’s Corner

Hi Automaters,

Hope you all had an amazing Thanksgiving and got a well-deserved break.

Making time for loved ones is always worth it. I know life gets busy, and there’s a million things pulling at you, but honestly, I’ve never heard of anyone looking back and wishing they’d spent less time with family.

So yeah, much love from our family to yours,

Tak Lo, Editor, The Automated

🧱 Around The AI Block

🤖 AI Workout Of The Day: Email Drafting for Work

Crafting a solid email can be tricky—say too little, and you come off cold; say too much, and it gets awkward.

We put ChatGPT, Gemini, and DeepSeek to the test to see which AI can craft polite, concise, relationship-preserving emails. If you’re a job seeker, professional, or anyone handling sensitive correspondence, this test shows which AI is actually reliable.

How to Make This Prompt Work Effectively:

  1. Be Clear About Tone: Specify “professional yet polite” to guide the wording.

  2. Provide Context: Mention if it’s a job offer, a promotion, or similar so the AI frames it correctly.

  3. Set a Word Limit: Keep it concise (under 150 words) so the AI focuses on essentials.

  4. Clarify Purpose: Make sure the AI delivers your message but leaves future opportunities open.

  5. Encourage Positivity: Ask for phrasing that shows gratitude and professionalism.

  6. Compare Across Models: Check style, clarity, and emotional nuance across outputs.

PS: The live side-by-side comparison of ChatGPT, Gemini, and DeepSeek tackling this task is exclusive to our premium subscribers. If you want in on the AI showdown, now’s the time to upgrade.

Prompts to try:

“Write a professional and polite email declining a job offer. The email should express gratitude for the opportunity, explain the decision respectfully, and keep the door open for potential future collaboration. Keep the message concise, under 150 words, and maintain a tone that is courteous, positive, and professional. Ensure the email reads naturally, and avoid overly formal or stiff phrasing. 

Bonus: include a line that subtly highlights interest in staying in touch or considering future opportunities.”

P.S. Each Workout of the Day (WoD) is powered by original prompts written by our team — no recycled or external templates here. That means lower risk of prompt injection or manipulation, and higher trust in what you’re creating.

Also…

Upgrade now to see this whole month’s prompt videos and more, or buy TODAY’S WOD for just $1.99

Is this your AI Workout of the Week (WoW)? Cast your vote!

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