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Pinterest tests AI shopping
Plus: Google tests AMIE beyond diagnosis
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
June 18, 2026
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Hello, Prohuman
Today, we will talk about these stories:
Pinterest wants discovery beyond search
AMIE takes on long-term care
Pramaana raises $27M for reliable AI
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Pinterest puts taste data into a chatbot
Image Credits: Pinterest
Pinterest is taking saved boards and Pins into a separate shopping chat app called Ask Pinterest.
The limited-access web app uses Pinterest’s Taste Graph, plus saved Pins and Boards when users sign in, to answer natural-language shopping and planning questions. Pinterest also announced a U.S. beta AI assistant in Ads Manager, global Performance+ creative tools, and MCP infrastructure for advertisers.
That matters. Pinterest has a real reason to test chat outside its main app, because its strength is knowing what people like before they type a product name. At a laptop in the morning, asking for dinner party ideas may feel more useful than tapping through search results.
The bigger signal is that Pinterest wants to keep product discovery inside its own system as shopping chat becomes more common. Advertisers also get pulled closer to that system.
Will users treat Pinterest like an assistant, or only like a place to browse?
AMIE moves past the first diagnosis
Image Credits: Google
Google’s AMIE is moving from diagnosis to the harder work after diagnosis.
That matters. New Nature research says AMIE used Gemini’s long-context models to support disease management, with a dialogue agent for patient conversations and a reasoning agent that checks drug formularies and clinical guidelines. In a blinded study with patient actors, specialist physicians compared AMIE with 21 primary care doctors; AMIE matched clinicians on overall management reasoning and scored higher on plan preciseness and guideline alignment.
This is hard. I think the useful part is the long follow-through: symptoms change, guidelines change, and medications need adjustment between appointments. Under clinic lights, this kind of system could help doctors spend less time parsing documents and more time checking what patients actually feel.
The risk is that “guideline aligned” still has to fit messy lives, side effects, and missed doses.
Will patients trust an AI that manages care over months, not minutes?
Pramaana wants AI answers that can be checked
Pramaana Labs is betting that some AI mistakes need a proof trail.
That matters. The startup raised a $27 million seed round led by Khosla Ventures to bring formal verification into AI systems for law, drug discovery, tax prep, and cybersecurity. Its approach keeps a normal LLM, then adds a deterministic checking layer using tools inspired by LEAN, the proof language used in math.
Rules matter here. I think this is one of the more practical AI infrastructure bets because it starts with fields where the answer has to survive a tax form, a legal filing, or a lab review. A glowing laptop at 11 p.m. is a bad place to discover that an AI assistant sounded confident and missed the rule.
The hard part will be turning messy expert knowledge into code that can actually be maintained. Pramaana’s pitch depends on whether companies will pay for slower, checked answers when faster ones are already everywhere.
How much certainty will buyers demand before they trust AI with expensive decisions?
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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