In today’s newsletter ⬇️

• 🚀 4 AI tools that actually save you hours

• 🗞️ The real headlines, no fluff

• 🤔 Perplexity vs Claude: Who Really Wins in 2025?

• 📚 Resources you’ll actually want to click

• 💡 Prompt of the Day — built for builders, not lurkers

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🚀 Top Tools To Try This Week!

• Gamma – Build stunning decks with AI in minutes.

• Notion Q&A – Ask your docs anything, instantly.

• Rewind – Personal AI memory that records and retrieves your work.

• Rationale – Decision-making AI that weighs pros + cons

News from The WEST 👈:

• 🔒 OpenAI Restricts Under-18 Users
  OpenAI is rolling out new safeguards for ChatGPT users under 18, limiting access to sensitive content and features. It’s a big shift in how AI companies balance growth with safety and regulation.
  👉 Read the full story

• 🛒 Amazon Launches Seller Agent
  Amazon just dropped an AI agent built to help its millions of marketplace sellers. From managing inventory to answering support queries, it’s AI as a full-time operations assistant.
  👉 See what the agent can do

• 👓 Meta Shows Off New Smart Glasses
  Meta’s latest smart glasses come with a built-in display and a wristband controller. Think AR meets wearables — a step closer to Zuckerberg’s vision of ambient computing.
  👉 Check out the glasses

News from The EAST 👉:

•  🇮🇳 India Puts Its Spin on Google’s Nano Banana
  Google’s Nano Banana AI model gets a hyper-local launch in India — with a creative cultural twist. Another sign that India isn’t just adopting global AI trends but reshaping them.
  👉 See the India launch

• 🇨🇳 China Blocks Nvidia AI Chips
  Beijing has reportedly barred Chinese tech firms from buying Nvidia’s latest AI chips. It’s a sharp escalation in the tech standoff — and a blow to Nvidia’s China business.
  👉 Read about the ban

• 💻 Huawei Claims Breakthrough Without Nvidia
  Huawei announced a new AI computing system that sidesteps Nvidia’s hardware altogether. If real, this could be a turning point in China’s push for self-reliance in advanced AI infrastructure.
  👉 Check the breakthrough

🤔 Perplexity vs Claude: Who Really Wins in 2025?

Everyone’s talking about Perplexity AI, the “Google killer” search engine that gives you real-time answers with sources.

At the same time, Claude AI has become the go-to ChatGPT rival, known for its human-like tone and fewer hallucinations.

But here’s the catch: they’re not built for the same job. One’s a research machine, the other’s a reasoning partner.

So in the showdown of Perplexity vs Claude, which tool should you actually use in 2025?

We dig into:
✅ Where each tool dominates (and where they fail)
✅ Raw feedback from real users on Reddit
✅ The surprising reason many pros are using both

If you’re still stuck on “which AI tool should I bet on,” you can’t afford to miss this breakdown.

• Stanford HAI Blog – Sharp AI policy + governance insights.

• Matt Shumer – Agentic AI workflows, explained simply.

• The Landscape of Agentic Reinforcement Learning for LLMs.

 🧠 Prompt: AI Personal Finance Assistant

“I want you to act as my personal financial planner. My goal is to build a monthly budget I can actually stick to, track my spending habits, and identify where I can cut costs without sacrificing the things I love. Please:

1. Ask me for my monthly income, fixed expenses (rent, utilities, loans), and flexible expenses (food, shopping, travel, subscriptions).

2. Categorize my spending into Needs, Wants, and Savings.

3. Suggest a realistic budget breakdown (e.g., 50/30/20 or a variation that fits my lifestyle).

4. Point out 2–3 areas where I overspend and show me painless ways to save.

5. Recommend one habit or tool (like an app or method) that will help me stick to the plan long-term.
   Make the output easy to follow, with numbers, percentages, and actionable tips.”

What To Ask First (Context You’ll Need):

• Monthly income (after tax).

• Average fixed costs (rent, bills, EMIs/loans).

• Usual flexible spending categories (food, entertainment, shopping, travel).

• Savings goals (short-term vs long-term).

• Any debts/credit card balances to factor in.

How The Output Should Look (Step-by-Step):

1. Summary Table – income vs. expenses vs. savings.

2. Budget Recommendation – % split across Needs / Wants / Savings.

3. Top 3 Overspending Areas – with painless savings suggestions.

4. One Actionable Tip – like using “envelope method,” a finance tracker app, or automating savings.

Constraints (So It’s Practical):

• Keep it in plain, everyday language (no finance jargon).

• Suggest small, realistic cuts (e.g., “Swap 2 takeout meals for cooking at home = ₹2,000 saved”).

• Focus on sustainability, not extreme penny-pinching.

• Highlight how much extra can be saved yearly if they follow the tweaks.”

Whether it’s improving your SEO, launching on platforms like Product Hunt, managing newsletters, or building a strong LinkedIn presence, we’re here to help. Curious to see how we can work together?