ChatGPT saved her life

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Hey, it's Clark.

The most valuable medical second opinion might now come from an unexpected source—an AI chatbot. This week's top story is of a patient whose ChatGPT consultation led to a crucial Hashimoto's test, ultimately revealing early-stage thyroid tumors. This signals a quiet revolution in healthcare decision-making - the diagnostic pathway getting enhanced by a patient armed with AI-generated insights.

This pattern of augmented expertise is unfolding across industries. Xiaomi's "dark factory" produces smartphones continuously without human presence, while real estate platform HonestDoor's "Doora" compresses property matching from days to seconds. 

What connects these developments is the emergence of collaborative intelligence: systems designed not to replace human judgment but to fill blind spots and overcome institutional inertia. 

Let’s dive in…

IN TODAY’S EDITION:

Top Story: ChatGPT Prompt Leads to Hashimoto's Test, Reveals Two Early-Stage Thyroid Tumors

Industry Watch: Xiaomi runs a human-free smartphone factory; HonestDoor’s AI agent “Doora” accelerates home buying

Notable Transactions: Sonata inks $73M AI modernization deal; Lightrun raises $70M to fix bugs in real time

New Tools to Try: Fluig for instant AI diagrams; Steve for automatic competitive intelligence

Power Prompt: Get David Ogilvy to write your webpage copy

THIS WEEK’S TOP STORY

ChatGPT Prompt Leads to Hashimoto’s Test, Reveals Two Early-Stage Thyroid Tumors

After persistent weight loss and stomach pain misdiagnosed as rheumatoid arthritis and acid reflux, 40-year-old Lauren Bannon turned to ChatGPT for answers. When the AI suggested Hashimoto’s disease and advised a thyroid peroxidase (TPO) antibody test, Bannon convinced her doctor to comply. Abnormal results prompted imaging that uncovered two small malignant tumors in her thyroid—an outcome she credits with saving her life and preventing cancer spread. Her experience underscores a growing patient-empowerment trend of using AI tools to fill diagnostic gaps and advocate for better care. (Daily AI)

INDUSTRY WATCH

Manufacturing | Xiaomi Produces One Smartphone Every Second in Human-Free 'Dark Factory'

Xiaomi has launched a fully automated “dark factory” in China, where robots manufacture smartphones non-stop, without lights, breaks, or human presence. The facility leverages advanced robotics and AI to achieve continuous, high-efficiency production, drastically cutting operational costs compared to traditional factories. (YourStory)

Real Estate | HonestDoor Unveils AI Real Estate Agent “Doora,” Promising Faster Home Matches

HonestDoor is set to debut “Doora,” an AI-powered real estate agent that accelerates home searches by analyzing individual buyer preferences and providing tailored property recommendations in seconds. The company claims the platform will streamline transactions and cut down on the time it takes buyers to find suitable homes, addressing inefficiencies in the traditional real estate process. (Fintech CA)

Agriculture | AI Document Scanners Save Food Companies One Full-Time Position by Automating Certificate Management

Agriplace introduces AI-based tools to tackle 'certification overload' in food supply chains. The tools automatically extract data from documents, eliminating manual entry that previously required dedicated staff. CEO Nico Broersen notes the technology addresses "one of the most painful parts of the process" while enabling seamless sharing between suppliers and buyers to meet rising global standards. (Fruitnet)

Tech | AI Now Writes Up to 30% of Microsoft’s Code, Says CEO Satya Nadella

Speaking alongside Mark Zuckerberg at Meta's LlamaCon event, Satya Nadella revealed that AI is now responsible for writing 20-30% of Microsoft's codebase. Zuckerberg responded by outlining Meta's ambitious goal to have AI handling half of its development work within a year. (CNBC)

Healthcare | Tsinghua University’s “AI Agent Hospital” Set to Treat 10,000 Patients Daily with Digital Doctors

China’s Tsinghua University has unveiled an “AI Agent Hospital” where AI-powered digital doctors provide diagnoses and treatment to simulated patients. The system handled 10,000 virtual cases per day in trials and passed China’s medical licensing exams. Researchers aim to expand its use to real-world scenarios, accelerating healthcare delivery and medical training. (All About AI)

Banking & Finance | Mastercard Launches Agent Pay, Enabling AI to Make Secure Purchases on Users' Behalf

The payment platform will allow AI agents to securely complete transactions while giving consumers full control over purchasing parameters. Positioned to power commerce in the AI era, the technology enables machines and virtual agents to negotiate, initiate, and settle payments independently, aiming to reshape B2B and consumer transactions across global markets. (Fintech Finance News)

Retail | ChatGPT AI bot adds shopping to its powers 

OpenAI has integrated shopping capabilities directly into its ChatGPT search tool, allowing users to view product prices, read reviews, and access personalized purchase links within the chatbot interface. The update builds on ChatGPT's search tool which saw over one billion web queries last week, positioning the company in direct competition with major players like Amazon and Google. (BBC News)

Media | Spotify Unveils Gen AI-Powered Ad Platform

Spotify is launching an AI-driven advertising platform that lets brands create and purchase personalized audio ads. The initiative promises streamlined media buying and precision targeting, leveraging generative AI to customize ad content in real time. Early partners report increased engagement and reduced cost per acquisition, as Spotify aims to attract more marketers to its 615-million-user base. (TechCrunch)

NOTABLE TRANSACTIONS

Sonata Secures $73M AI Deal Transforms US TMT Giant - Five-year partnership with a major US media company will include an AI-enabled engineering center in India, modernizing cloud and enterprise systems. (All About AI)

Lightrun Raises $70M to Debug Live Code with AI – Real-time production fixes slash downtime and costs for developers. Major enterprise clients onboard. (TechCrunch)

Anthropic-Backed Goodfire Raises $50M for AI Transparency – Startup developing tools to access AI’s internal “thoughts,” boosting traceability and accountability for enterprise clients. Led by Bain Capital Ventures. (PYMNTS)

Camp Network’s $30M Bet on AI-Blockchain Fusion – Startup bridges AI with decentralized compute, claiming lower costs and more data security for developers. Funding round led by top VCs. (Fortune)

Craif's $22M Boost Advances AI-Powered Early Cancer Detection - Japanese startup Craif secures $22 million to enhance its non-invasive urine-based microRNA diagnostics, aiming for U.S. expansion and broader disease detection capabilities. (All About AI)

NEW TOOLS TO TRY

POWER PROMPT

This Week: Get David Ogilvy To Write Your Webpage Copy

This prompt uses David Ogilvy’s copywriting principles to grade a web page. It provides a score and gives you exact ways to improve that score.

You are an advertising strategist trained in David Ogilvy’s principles.

Task:
1. Visit the user-provided URL.
2. Extract the main marketing copy (ignore footers, nav, cookie notices, blog content).
3. Score the copy out of 100 using the 15 Ogilvy-inspired principles (each ~6.7 points).
4. Provide a detailed score breakdown.
5. Identify the top 3 improvement areas.
6. Suggest edits to improve the score.
7. Rewrite the copy to achieve 100/100.

---

### 15 Scoring Criteria:

1. **Product Positioning** — Is the offer clear? What is it, who is it for, and why it matters?
2. **Unique Benefit** — Is there a strong, specific benefit?
3. **Headline** — Is it clear, specific, curiosity-driving, or benefit-led?
4. **Reader-Focused** — Is the copy centered on the reader's needs, not the brand?
5. **Clear Tone** — Is it plainspoken, not vague or gimmicky?
6. **Simple Language** — No jargon, easy to understand?
7. **Evidence** — Are there facts, stats, testimonials, or proof?
8. **Emotion/Story** — Is there emotional or narrative appeal?
9. **Structure** — Is it skimmable and well-formatted?
10. **Call-to-Action** — Is the next step obvious and compelling?
11. **Visuals/Captions** — If present, do they reinforce the message?
12. **Testability** — Can parts be A/B tested or measured?
13. **Length** — Is it appropriate for product complexity?
14. **Attention-Grabbing** — Does it hook early?
15. **Repetition** — Are key ideas or benefits repeated effectively?

---

### Output:

**URL Analyzed:** [Insert URL]

**Overall Score:** X/100

**Score Breakdown:**

| Principle | Score (0–6.7) | Comments |
|-----------|----------------|----------|
| 1. Product Positioning | X.X | ... |
| 2. Unique Benefit | X.X | ... |
| ... | ... | ... |

**Top 3 Areas to Improve:**
1. ...
2. ...
3. ...

---

### Rewrite (to score 100/100):

[Rewritten copy applying all principles]

---

### User Input: [add url]

Prompt credit: Kieran Flanagan

THAT’S A WRAP

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See you next week,
Clark Valberg

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