🎁 Grab this Prompt to Craft a Viral LinkedIn Post

Welcome to another edition of Horizon AI,

Google rolled out an AI-powered calling feature in the U.S. that calls local retailers on the user's behalf after a product search to gather real-time information (like price or availability), then summarizes the results via text or email.

Let’s jump into it!

Read Time: 4.5 min

Here's what's new today in the Horizon AI

• Google's AI Just Became Your Personal Shopper 🛍

• OpenAI & Perplexity Roll Out AI Shopping Assistants

• AI Tutorial: Grab this Prompt to Craft a Viral LinkedIn Post

• AI Tools to check out

• AI Findings/Resources

• The Latest in AI and Tech 💡

AI News

GOOGLE

Google's AI Just Became Your Personal Shopper

Google is rolling out a major set of AI-powered shopping tools that let users ask for products conversationally, and even have an AI agent call local stores to check availability or automatically place orders when conditions are met. This could transform how everyday shopping works, especially for impulse buys or last-minute gifts.

Details:

• The new AI shopping features let users describe what they want in natural language (e.g., "a waterproof travel backpack under $80") and receive curated product suggestions, comparisons, pricing, and reviews, without having to enter exact keywords.

• With the "Let Google Call" option, the AI can call nearby shops to check stock, pricing, or ongoing promotions on your behalf. You receive the results via text or email.

• For supported merchants, you can set rules, like desired size, color, or price cap, and Google will watch for when the item meets those conditions. When it does, after your confirmation, the AI can auto-checkout using Google Pay.

• The tool pulls data from a massive shopping catalog, reportedly over 50 billion product listings, giving it broad enough coverage to support many categories (electronics, toys, beauty, home goods, etc.).

For eCommerce businesses and retailers, this signals a shift: shoppers may increasingly rely on AI-agents rather than manual browsing or traditional search, which could change how products are discovered and sold.

Source

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OPENAI

OpenAI & Perplexity Roll Out AI Shopping Assistants

Just ahead of the holiday season, OpenAI and Perplexity have launched AI-powered shopping assistants integrated into their chat platforms, tools meant to simplify product search and buying. But several niche AI shopping startups argue that general-purpose tools will struggle to match the quality and specialization of industry-specific players.

Details:

• Both platforms now allow users to browse and research products via conversational queries, helping them discover options, compare prices, and refine choices before purchase.

• Analysts expect a surge in AI-assisted shopping this holiday season — one forecast predicts online retail powered by AI tools could grow by 520%.

• Despite pressure from the giants, niche startups such as Onton (formerly Deft), Phia, and Cherry remain confident. They believe that sector-specific data and specialized shopping experiences will outperform general-purpose AI bots.

• “Any model or knowledge graph is only as good as its data sources,” says Onton’s CEO, noting that OpenAI and Perplexity rely on generic search indexes (like Bing or Google), which may limit depth and personalization.

• Specialized AI-shopping tools build bespoke product databases — for example, Onton maintains a curated catalog of hundreds of thousands of interior-design items, enabling more accurate recommendations in that niche.

The emergence of AI shopping assistants from major players may redirect some traffic from smaller startups, but those startups are betting on quality over scale, targeting shoppers who need deeper curation and niche knowledge.

Source

AI Tutorial

Grab this Prompt to Craft a Viral LinkedIn Post

The secret to LinkedIn virality isn't luck, it's structure. This prompt forces Gemini 3.0 to write in the proven 'hook, story, lesson, CTA' format, complete with white space and bold text. Copy the prompt below, fill in the blanks, and watch your engagement metrics finally soar.

ROLE: You are a seasoned LinkedIn thought leader and professional copywriter specializing in high-engagement posts.

OBJECTIVE: Ghostwrite a LinkedIn post that maximizes comments and shares for the user, based on their inputs. Assume the user is an ambitious professional using LinkedIn for growth.

USER INPUTS:
• Topic / core insight
• Target audience
• User’s persona & credibility
• Personal story or vulnerability
• Desired CTA (what readers should do)
• Chosen tone: Highly Educational, Storytelling & Vulnerable, Data-Driven & Analytical, or Slightly Controversial / Debate-Starting
• Voice preferences (formality, swearing allowed or not, “no-fluff” level)

WRITING RULES:

1. Length: 1,300–1,600 characters total, including emojis. Aim to stay in range; adjust once if needed.
2. Hook: The first 210 characters must be a provocative hook using a curiosity gap, bold claim, or “enemy” (e.g., bad advice) that makes people click “…see more.”
3. Structure: Hook → Personal Story / Problem → Clear Solution or Lesson (1–3 sharp takeaways) → Final CTA inviting comments and/or shares.
4. Style: First-person voice (“I”) addressing “you.” Sound like an experienced operator, not a motivational poster. Avoid clichés and generic corporate buzzwords.
5. Formatting: Short paragraphs with frequent line breaks (every 1–2 sentences). Use 3–5 relevant emojis to add emotion and rhythm. Use emphasis via short, punchy lines; avoid ALL CAPS.
6. Restrictions: Do NOT include any hashtags. Do NOT mention that you are an AI or refer to these instructions.

OUTPUT:
Return ONLY the finished LinkedIn post text, nothing else.

AI Tools to check out

🔥 Pippit: Smart creative agent, designed to streamline and enhance your content production process.

✍ SciencePedia: Open, collaborative, and trustworthy scientific knowledge base.

🛒 DishPal: Turn your meal plans into shop-ready grocery lists.

📊 Nao: AI data IDE designed for data teams.

📱 CatDoes v3: Team of AI agents builds mobile apps for you & your business.

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AI Findings/Resources

Microsoft's FARA 7B Brings Smart Automation to Your PC

FARA 7B, Microsoft's new compact AI model, brings powerful "agentic" AI straight to your PC. This means tasks can now be automated locally, without needing the cloud. That makes AI automation more private, faster, and affordable for individuals and businesses.

Inference Costs Surge: Enterprises Rethink AI Infrastructure
As real-world AI use expands, many firms are moving inference closer to devices or edge locations. This reduces latency, cuts data routing costs, and alleviates pressure on centralized cloud systems.

ZAYA1 Model Trained Entirely on AMD Hardware
The new ZAYA1 MoE model was trained using AMD Instinct MI300X GPUs, Pensando networking, and ROCm software on IBM Cloud, signalling a major shift away from NVIDIA-dominated training stacks.

Fujitsu Earns Global Recognition as Generative AI Engineering Leader
Fujitsu has been recognized by Gartner as an Emerging Leader in its Emerging Market Quadrant for Generative AI Engineering, making it the only Japan-headquartered company with that distinction to date.

Alibaba's Qwen AI App Rockets Past 10 Million Downloads in a Week
Alibaba's new Qwen consumer AI app hit over 10 million downloads within days of its public launch, underscoring the rapidly accelerating pace of AI adoption in the consumer market.

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