Good morning ☀️, leader of the next generation.

We will talk about agents. AI agents.

They will change the way how we do business, how we interract and even how we do our everyday lives.

Agents will build business.

Agents will organize your day.

Agents will fill up your fridge.

I will let that sit in here for a while, so we can imagine and build the future together one agent at a time...

AWS partners with Superblocks to bring secure vibe coding inside enterprise clouds.

AWS is helping vibe-coding startup Superblocks, and the implications are big

Superblocks has announced a multiyear joint marketing agreement with Amazon Web Services (AWS), allowing its vibe-coding tool to be embedded directly within the private clouds of AWS customers. Enterprise subscribers can offer vibe coding to their business users without any data leaving the company's secure environment. Rather than spinning up external databases like Supabase, apps will use Amazon Aurora within the company's private cloud and connect through Amazon Bedrock, AWS's AI development and inference platform. The result: IT teams automatically retain management and security oversight, with no rogue applications slipping through the cracks.

Superblocks CEO Brad Menezes put it plainly: "We're going to bring it to your data inside your private cloud. The big thing about that is data never leaves. It's their AWS account and basically secure with all of the auditing, all of the encryption, all of the network controls." AWS will also actively help sell Superblocks to enterprises through its Marketplace program, citing "strong customer demand and alignment with how customers want to build." The startup, which has 50 employees and has raised $60 million through its Series A — backed by Spark Capital, Kleiner Perkins, Meritech Capital, and Greenoaks — stands to benefit significantly from the arrangement.

Beyond the immediate boost for Superblocks, the deal reflects a broader and accelerating shift in how enterprises approach AI. Hyperscaler cloud providers like AWS and Microsoft are increasingly pushing their enterprise customers to decouple AI models from the surrounding infrastructure — buying orchestration tools, security layers, and agentic apps from the cloud providers themselves, rather than from frontier AI labs. Microsoft CEO Satya Nadella has been vocal on this point, urging enterprises to use multiple models to cut costs and avoid vendor lock-in. He has also warned that AI labs may use enterprise data from agent-level interactions to study businesses and eventually compete with them.

Enterprises are already acting on this instinct. Menezes notes a dramatic shift in customer attitudes: "60 days ago they were like, I want a specific model. It's called Anthropic. That is flipped." Open-source models now account for 29% of all traffic through Vercel's AI gateway, a widely used enterprise tool for managing multi-model AI deployments. Chinese open-weight models are gaining particular traction, alongside growing interest in U.S. open-source alternatives. As Menezes sees it, a multi-model strategy spanning major frontier labs and open-source options is now "a must-have for the CIO" — and he predicts that any executive still betting on a single model provider risks losing their job.

With enterprises embracing model diversity, their AI scaffolding can no longer be tied to any single provider either. This opens the door for cloud-native, private deployments of tools like Superblocks — tools that bring vibe coding for business users into secure enterprise environments, much as AI coding agents for developers were brought into the enterprise in an earlier wave. AWS called it "an emerging category with real momentum, and exactly the kind of innovation we support." If the trend holds, secure, cloud-native vibe coding could soon become a standard expectation for enterprise IT, not an exception.

Startup raises $7.9M to give AI models scalable human design feedback.

Design Arena creators raise $7.9 million to bring taste to AI models

Intelligence, the startup behind Design Arena, has raised a $7.9 million seed round led by Index Ventures. Founded in 2025 by Grace Li and college friends, the company set out to solve a simple problem: AI models could build functional games, but couldn't judge whether they were actually fun. Their answer was structured human feedback at scale — an "A vs. B" ranking tool now used by 5.3 million people worldwide.

The real business lies on the enterprise side, where frontier AI labs pay to access this stream of human preference data to improve their media-generating models. The platform is currently generating $60 million in ARR, and its login-gated approach lets Intelligence track how design tastes shift across regions and over time — offering something automated benchmarks alone cannot reliably provide.

🎙️ The Supercharged Podcast Is Growing

Real Conversations with the People Building the AI Future

The Supercharged Podcast is quickly becoming a space for real, unfiltered conversations about AI — beyond the hype, tools, and surface-level takes.

Each episode dives deep with founders, operators, and builders who are actively working with AI — or building AI-first companies — to uncover how it's truly changing the way work gets done.

From strategy and systems to real-world execution, these conversations are practical, honest, and focused on what actually works — not just what sounds good.

⚡ Trends for the Future

Judge denies xAI's request to block Minnesota ban on 'nudify' apps

A federal judge has denied xAI's request to block a Minnesota law banning so-called "nudify" apps — software that uses artificial intelligence to generate non-consensual sexualized images of real people. U.S. District Judge Donovan Frank ruled that the law, the first of its kind in the United States, can take effect as scheduled while xAI's broader lawsuit against it continues through the courts.

Judge Frank's decision focused heavily on the timing of xAI's legal action. The company filed its request for a temporary restraining order on July 29, 2026 — nearly three months after the law was signed and just three days before it was due to take effect on August 1. Frank noted that such a delay "suggests that harm is not immediate," undermining xAI's argument that urgent intervention was necessary.

In its lawsuit, xAI contends that the Minnesota ban is "overinclusive" and argues that "there are far less restrictive alternatives that function to achieve the same ends." The ruling denying the restraining order does not resolve these underlying claims — it simply means the law remains in force while the legal challenge proceeds.

The case comes in the wake of a significant controversy on Elon Musk's social media platform X. Earlier in 2026, users exploited xAI's Grok chatbot to flood X with non-consensual sexualized images, triggering investigations and widespread bans. Both X and xAI are now part of SpaceX, which Musk also leads. The Minnesota legislation directly targets the kind of AI-powered tools at the center of that episode, making the outcome of xAI's ongoing lawsuit closely watched across the technology and policy worlds.

⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?

AI has potential — but generic advice rarely helps.

What would be genuinely valuable for AI to do in your industry right now?

• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?

Tell us what you’d want AI to handle — or where you feel stuck.

We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.