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Good morning ☀️, leader of the next generation.
Sometimes we give technology too much credit or too much blame.
The truth is, it’s a tool. How we use it is what matters.
Used with purpose, it helps us see more clearly, build faster, and express ourselves in new ways.
It’s not about chasing trends. It’s about creating something real.
WHAT'S AT STAKE TODAY ⚡
- 🤖🚀 Mistral closes in on Big AI rivals with new open-weight frontier and small models
- ☁️🛠️ AWS announces new capabilities for its AI agent builder
- 🖥️🤖 Simular's AI agent wants to run your Mac, Windows PC for you
- 💾🚀 Amazon releases an impressive new AI chip and teases an Nvidia-friendly roadmap
- 🔥📱 OpenAI slammed for app suggestions that looked like ads
- ☁️🆕 AWS launches new Nova AI models and a service that gives customers more control
Amazon unveils AI agents capable of autonomous coding for extended periods
Amazon previews 3 AI agents, including 'Kiro' that can code on its own for days
Amazon Web Services has unveiled three groundbreaking AI agents designed to revolutionize software development workflows. These "frontier agents" promise to transform how development teams approach coding, security, and DevOps operations by working autonomously for extended periods.
The standout innovation is the Kiro autonomous agent, which builds upon AWS's existing AI coding tool launched in July. Unlike its predecessor focused on prototyping, this advanced version creates production-ready code that can be deployed in live environments. The agent employs "spec-driven development," learning from human feedback to understand and follow company-specific coding standards.
"You simply assign a complex task from the backlog and it independently figures out how to get that work done," announced AWS CEO Matt Garman during his keynote at AWS re:Invent. The system observes team workflows, analyzes existing code repositories, and adapts to organizational preferences over time.
What sets Kiro apart is its "persistent context across sessions" - essentially, it maintains memory between work periods without forgetting previous tasks or specifications. This capability enables the agent to handle complex, multi-day projects with minimal human oversight. Garman illustrated this with an example of updating critical code used across 15 different corporate applications, where Kiro could handle all updates from a single prompt rather than requiring individual assignments.
Complementing Kiro are two additional specialized agents. The AWS Security Agent operates independently to identify vulnerabilities during the coding process, conducts post-development testing, and suggests remediation strategies. Meanwhile, the DevOps Agent focuses on performance optimization, testing code compatibility across different software, hardware, and cloud configurations to prevent deployment issues.
Amazon isn't alone in pursuing extended autonomous operation capabilities. OpenAI recently announced GPT-5.1-Codex-Max, designed for up to 24-hour continuous operation periods. However, the race toward longer autonomy faces significant challenges beyond technical context windows.
Industry experts note that accuracy and hallucination issues remain primary concerns. Many developers report feeling like "babysitters" when working with current AI coding tools, preferring to assign shorter tasks with frequent verification checkpoints. This cautious approach stems from the need to catch and correct AI-generated errors before they propagate through larger codebases.
The three agents represent AWS's comprehensive approach to automating the entire software development lifecycle. By addressing coding, security, and operations simultaneously, Amazon aims to reduce the manual overhead that currently limits AI adoption in enterprise development environments.
Preview versions of all three agents are currently available, allowing development teams to experiment with extended autonomous workflows. While challenges around AI reliability persist, Amazon's frontier agents mark a significant step toward AI systems that function more like collaborative teammates than supervised tools.
The success of these agents will ultimately depend on their ability to balance autonomy with accuracy, addressing the fundamental trust issues that have historically limited AI adoption in mission-critical development processes. As context windows expand and AI capabilities mature, Amazon's vision of truly autonomous development agents may become the new industry standard.
Your Shopify DTC Brand Can’t Afford Q4 Without Zipchat
BFCM traffic costs a fortune. If your Shopify brand isn’t converting at its possible best, you’re not just losing sales — you’re burning money and shrinking Q4 margins.
Zipchat.ai is the AI Agent built for DTC ecommerce. It doesn’t just chat — it sells.
Closes hesitant shoppers instantly with product answers and recommendations
Recovers abandoned carts automatically via web + WhatsApp
Automates support 24/7 so you scale without extra headcount
Boosts profit margins in Q4, when every order counts
That’s why brands like Police, TropicFeel, and Jackery — brands with 10k visitors/month to millions — trust Zipchat to handle their busiest quarter and fully embrace Agentic Commerce.
Setup takes less than 20 minutes with our success manager. And you’re fully covered with 37 days risk-free (7-day free trial + 30-day money-back guarantee).
On top, use the NEWSLETTER10 coupon for 10% off forever.
Google releases Android 16 developer preview with AI features
Android 16 adds AI notification summaries, new customization options and more
Google unveiled the first developer preview of Android 16, accelerating its release timeline to Q2 2025. The update's standout feature is AI-powered notification summaries, similar to iOS 18.1, which groups related messages and provides intelligent overviews to combat notification fatigue.
Additional improvements include enhanced theming options, granular privacy controls with clearer data-sharing permissions, better battery optimization, and strengthened security measures. The preview also introduces new camera APIs and improved foldable device support, though features may change before the final consumer release.
🎙️ NEW EPISODE DROP:
Inventing the Future with Pablos Holman
I sat down with Pablos Holman — hacker, inventor, futurist, and founder of Deep Future — for one of the most mind-expanding conversations I’ve ever had.
We talked about using AI to solve real problems, what most entrepreneurs get completely wrong, and how Pablos has spent his career inventing the tools of tomorrow — from laser-powered mosquito killers to nuclear reactors powered by waste.
If you care about the future, technology, or building what others say is impossible — this episode is for you.
⚡ Trends for the Future
Paris-based AI voice startup Gradium nabs $70M seed
French AI voice startup raises massive seed round for ultra-low latency technology.
Gradium, a French AI startup spun out of the Kyutai research lab, emerged from stealth mode this week with an impressive $70 million seed funding round. The company was founded just months ago in September by Neil Zeghidour, a former Google DeepMind researcher and founding member of Kyutai, which is backed by French telecom billionaire Xavier Niel.
The substantial funding round was led by FirstMark Capital and Eurazeo, with notable participation from Xavier Niel himself, DST Global Partners, and billionaire Eric Schmidt, among other high-profile investors. This level of backing demonstrates significant confidence in Gradium's technology and market potential.
The startup has developed specialized audio language AI models focused on delivering voice responses at scale with ultra-low latency. Their technology enables AI voices to respond almost instantaneously, addressing a critical need in the rapidly evolving AI voice market. As a European company, Gradium launched with multilingual capabilities from day one, supporting English, French, German, Spanish, and Portuguese, with plans to add more languages.
Gradium's mission centers on making voice models faster and more accurate for developers who need reliable AI voice solutions. The company aims to provide ultra-realistic voice expression and accuracy as the industry shifts from text-based interactions to more sophisticated AI agents.
However, Gradium faces intense competition in the AI voice space. Major frontier companies like OpenAI, Anthropic, Meta Llama, and Mistral all offer voice and multimodal capabilities. Well-funded startups like ElevenLabs are also competing for market share, and hundreds of voice models are available through platforms like Hugging Face.
Despite the crowded landscape, the demand for high-quality, low-latency voice AI continues to grow as artificial intelligence expands beyond simple chat applications into entertainment, workplace tools, and autonomous AI agents that require natural, real-time voice interactions.
⚡ You’re Smart. Strategic. Intentional. So Let’s Be Real:
Where Are You Holding Back— On Purpose?
Every smart operator has something they’re intentionally avoiding.
Not because they’re lazy — but because it’s risky, unknown, or just... a bit *uncomfortable*.
So what’s that thing for you?
That one decision, move, or experiment you know would push you forward — but you’ve been choosing not to do it.
Tell us — and we’ll share a tactical POV or tool to help you rethink it.
No fluff. Just momentum.
AI will be the great multiplier of human capability, helping us achieve in decades what might have taken centuries and opening doors to possibilities we never imagined.
Dylan Field is the co-founder and CEO of Figma, the collaborative design platform that has revolutionized how designers and teams create digital products, used by millions of professionals worldwide. His vision of making design accessible and collaborative through browser-based tools has transformed the creative industry, and he continues to advocate for using AI to enhance creativity, streamline workflows, and democratize design capabilities for people regardless of their technical background.
🎬 How to Use AI Agents to Build High-Converting Video Ads
Build once. Scale everywhere. In just minutes.
What if: Instead of spending weeks scripting, editing, and testing ads… you could build 10 variations of a high-converting video in 15 minutes — with agents handling the voiceover, visuals, call-to-action, and even the hook testing?
That’s exactly what we’ll show you this week — live.
Why This Changes Everything for Founders 🧠
- 🎥 Fast-Track Ad Creation: From idea to launch-ready video in under an hour — no team needed.
- 🔁 Test Like a Pro: Run A/B tests on 10 hooks, CTAs, or visuals — while you sleep.
- 💰 Better ROAS, Less Guessing: Let agents learn what your audience *actually* responds to.
- 📦 Works for Any Product: Digital or physical — agents adapt to your niche & brand voice.
📅 Join the Live Session w code Supercharged
We’ll walk you step-by-step through building your own ad-generating agent — no code needed.
👉 Click here to save your seat for the webinar
You’ll leave with a working prototype, free templates, and 5x more speed in your next ad campaign.
🎁 Bonus for Attendees:
- ✅ AI Agent Template for Ad Generation
- ✅ "Top 10 Hooks That Convert" Prompt Pack
- ✅ Entry to win a Free AI Strategy Audit
🌡️ Use the Satisfaction Thermometer to show us how much you enjoyed The Supercharged today ;)
The Supercharged is aiming to be the world's #1 AI business magazine and is on a mission to empower 1,000,000 entrepreneurs worldwide by 2025, guiding them through the transition into the AI-driven creative age. We're dedicated to breaking down complex technologies, sharing actionable insights, and fostering a community that thrives on innovation, to become the ultimate resource for businesses navigating the AI revolution.
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