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- Google's Gemini 3 is Here 🔥
Google's Gemini 3 is Here 🔥
This Prompt Turns Gemini 3 into a SaaS Growth Strategist and Product Advisor

Welcome to another edition of Horizon AI,
Google has introduced Gemini 3, its most intelligent AI model, which delivers state-of-the-art reasoning, multimodal capabilities, and advanced agentic features, making it immediately available across Google products like Search and the Gemini app.
Let’s jump into it!
Read Time: 4.5 min
Here's what's new today in the Horizon AI
Google Unveils A New Era of Intelligence with Gemini 3 🚀
Microsoft, NVIDIA, and Anthropic Forge Multi-Billion-Dollar Alliance to Reshape Frontier AI
AI Tutorial: Quick Guide to Using ChatGPT for SaaS KPIs and Market Breakdown
AI Tools to check out
AI Findings/Resources
The Latest in AI and Tech 💡
AI News
Google Unveils A New Era of Intelligence with Gemini 3

Google has launched Gemini 3, its most intelligent model yet, featuring unprecedented reasoning and multimodal understanding. Available immediately across core Google products, Gemini 3 aims to accelerate how users learn, build, and plan by serving as a true thought partner.
Details:
Gemini 3 sets new performance benchmarks (including a 1501 Elo score on the LMArena leaderboard) and is immediately integrated into Google Search for the first time.
For the first time, Google is launching a new Gemini model directly into Search on day one, providing richer, interactive, and dynamic generative UI experiences. It is also available in the Gemini app.

Google introduced Deep Think mode, an enhanced reasoning capability that further pushes the model's intelligence for solving complex scientific, mathematical, and agentic problems. This mode will roll out to Ultra subscribers after final safety reviews.

Developers can immediately access Gemini 3 through AI Studio, Vertex AI, and the Gemini CLI. Most notably, Google unveiled Google Antigravity, a new agent-first development platform where autonomous agents can plan and execute full, complex software tasks within an integrated IDE.
Gemini 3 is Google's safest model to date, passing rigorous evaluations for security and misuse resistance.
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MICROSOFT
Microsoft, NVIDIA, and Anthropic Forge Multi-Billion-Dollar Alliance to Reshape Frontier AI

A significant strategic alliance has been announced among tech giants Microsoft, NVIDIA, and the AI research company Anthropic, fundamentally shifting the competitive landscape for frontier AI models.
Details:
Anthropic has committed to purchasing $30 billion in Azure compute, with the option to scale capacity up to 1 gigawatt.
Microsoft and NVIDIA will jointly invest up to $15 billion directly into Anthropic.
This alliance ensures that Anthropic's Claude models will be available across all major cloud providers, making it the only frontier model to achieve this widespread availability.
Claude models will be scaled on Microsoft Azure using NVIDIA's latest AI systems and made accessible via Azure AI Foundry for enterprise customers, offering them expanded model choice.
Claude will remain integrated across various Microsoft Copilot products, including GitHub Copilot and Copilot Studio.
NVIDIA and Anthropic are establishing a technical partnership to collaborate on model optimization, architecture design, and the development of future hardware specifically tailored for Anthropic's workloads.
The partnership signals a new phase of infrastructure consolidation, massive scale, and intensified competition in the AI industry.
AI Tutorial
Turn Gemini 3 into a SaaS growth strategist and product advisor
Use this prompt to get a detailed business health check for a SaaS product, focusing on growth, churn, user behavior, competition, and practical next steps to improve revenue and retention.
You are my SaaS growth and product advisor. Use clear, simple language and focus on practical next steps.
Inputs:
1. My product
[Describe what your product does and who it helps in 3–5 sentences]
2. User behavior / activity
[Describe usage patterns: logins, key features used, time in product, etc.]
3. Competitors (up to 5)
[List competitor names + links or short descriptions]
4. Ideal customer (ICP)
[Describe industry, company size, role, main problem your product solves]
5. Key monthly numbers
[MRR], [ARR], [ARPA], [churn %], [expansion %], [CAC], [LTV], [active users], plus last 2–3 months if possible: [Paste numbers here]
6. Churn info (why customers leave)
[Paste reasons customers gave, common patterns, or any notes]
Your job:
1) Business health check
- Say if things look good, bad, or flat and explain why in plain language.
- Give 3 key insights from my numbers (what’s working, what’s not).
- Give 3 possible reasons for what’s happening (clearly as “educated guesses”).
- Suggest 3 concrete actions I can take in the next 30–60 days, ordered by expected impact on revenue or growth.
2) Churn & revenue leaks
- List the top 5 warning signs a customer is likely to cancel based on my info.
- Highlight which types of customers seem most at risk (by plan, size, industry, etc.).
- Explain where I’m likely losing the most revenue (cancellations, downgrades, low expansion, etc.).
- Propose 3 retention ideas, ranked by best impact vs effort, in simple terms.
3) User behavior & product adoption
- Define power users vs casual users using my data and explain your criteria simply.
- Point out behaviors linked to upgrades, renewals, or higher spending.
- Suggest 3 specific actions to improve product adoption (onboarding tweaks, in-app prompts, education, or feature changes).
4) Competition & simple roadmap
- Summarize competitors’ strengths and weaknesses vs my product.
- Compare their pricing to mine (cheaper / similar / more expensive, and what that suggests).
- List 3–5 ways I can stand out (positioning, niche, feature focus, or go-to-market).
- Propose a high-level quarterly roadmap for the next 12 months with 3 key items per quarter, each with:
- Why it matters for customers
- How it helps revenue or retention
- Effort level: low / medium / high.AI Tools to check out
🌐 FalkorDB: Fast, flexible database that helps AI agents manage long-term memory effectively.
🍊 Juice: Full-stack marketing AI, functioning as your fully managed marketing to create, post, and optimize content.
👤 Markopolo AI: AI marketing agent that learns about shoppers, then follows up with personalized 1:1 marketing across email, texts, and voice calls.
📈 GoMarble: Agent for paid media teams that explains what changed, why, and what to do next.
AI Findings/Resources
⚕ AI in Preventive Healthcare: Hospitals Advance AI-Enabled Prevention at Scale | AHA
📉 Asian stock markets are falling due to AI stocks and interest-rate concerns.
💰 Technology Investment and AI: What Are Firms Telling Us?
⚠ ILO study highlights the need for HRM to understand AI-related risks better
The latest in AI and Tech
Xiaomi unveiled its vision for the AI era, introducing four new on-device AI features, including AI Search and Pet Companion, at its Internet Partner Conference on November 17, while stressing an open ecosystem approach.
Google is providing $2.25 million to the UN Economic Commission for Africa (UNECA) and PARIS21 to modernize Africa's public data infrastructure, thereby enhancing the continent's AI readiness by improving the availability, quality, and utilization of development data through platforms like Data Commons.
Ant Group released Lingguang, a new multimodal AI assistant capable of generating small applications and fully coded multimodal content (like 3D models and audio) from natural language prompts in about 30 seconds.
A widespread Cloudflare outage temporarily knocked thousands of major internet sites offline, including X, ChatGPT, and Spotify, after an unexpectedly large configuration file caused a system crash.
Global technology corporation FPT has formed an exclusive partnership with FutureTEC to deliver AI-driven tech solutions, including Data and Cloud services, across Kuwait, Bahrain, and Jordan, leveraging their combined global delivery and regional expertise.
That’s a wrap!
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Gina 👩🏻💻

