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- Microsoft and OpenAI just rewrote the deal
Microsoft and OpenAI just rewrote the deal
Plus: Google doubles down on AI agents course
Hello, Prohuman
Today, we will talk about these stories:
The Microsoft-OpenAI tie-up gets looser
Google is training 1.5 million agent builders
A prelaunch app gets millions for AI widgets
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How to set up tracking so your AI bidding actually optimizes for pipeline, not just clicks
The top gotchas on Google and LinkedIn that quietly kill performance
Free to attend. Free ad credits for everyone who shows up live.
The partnership stays on, with more exits

Image Credits: Microsoft
Microsoft kept the relationship, but removed several of the locks.
Microsoft and OpenAI announced an amended agreement that keeps Azure as OpenAI’s primary cloud partner, while allowing OpenAI to sell products across any cloud provider. Microsoft also keeps access to OpenAI IP through 2032, though the license is now non-exclusive, and Microsoft says it will no longer pay a revenue share to OpenAI.
This looks like two companies accepting they are now partners and competitors at the same time. That was already true in practice, but now the paperwork matches reality. The non-exclusive license matters because it gives OpenAI more room to build independent commercial paths while Microsoft protects access to core technology.
Expect OpenAI products to appear more broadly on rival clouds, especially where enterprise buyers want multi-cloud flexibility. In Microsoft offices, someone likely spent months in bright conference rooms untangling this sentence by sentence.
When a strategic alliance starts adding escape hatches, it usually means the next phase is more complicated than the first.
Google wants more people building agents

Image Credits: Google
Google says 1.5 million people joined its first AI agents course, and now it’s running another one with “vibe coding” at the center.
The free five-day online program returns June 15 to 19 with updated lessons, new speakers, and a capstone project. It focuses on building AI agents that use tools and APIs, with natural language as the main way to program them.
This reads like demand generation as much as education. Google wants more builders using its stack, and teaching agents is one of the cheapest ways to do it at scale. The phrase “vibe coding” also matters because it lowers the bar for beginners who would have skipped traditional coding paths.
Expect more courses like this from every major AI platform, especially as models get easier to steer through chat instead of code editors. The laptop fan is already humming in a lot of homes at night.
If everyone can build an agent, the real question becomes who can make one useful.
The next AI app may replace apps

Image credits: Skyle
A startup raised $3.58 million before launch to turn iPhone widgets into an AI control layer.
Skye is building what it calls an “agentic homescreen” for iPhone, using widgets to surface tasks, reminders, email drafts, fraud alerts, and local recommendations. The company says tens of thousands joined the waitlist, and backers reportedly include a16z, True Ventures, and SV Angel.
This is a sharper idea than another chatbot app sitting on page three of someone’s phone. If AI is useful on mobile, it probably needs to live where people already glance ten times a day. Apple’s current interface leaves room here, especially if Siri still feels slower than what users expect in 2026.
Expect more startups to target the operating layer instead of single-purpose apps, especially through widgets, notifications, and shortcuts. You can almost hear the lock screen buzz on a kitchen counter.
If the home screen becomes an AI concierge, what happens to every app icon fighting for attention now?
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. | ![]() Founder |
Writes about how new interfaces, reasoning models, and automation are reshaping human work. | ![]() Founder |
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