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Today, we share a step-by-step guide to the DRAG method, a practical way to use AI to make you smarter and more focused, instead of fueling digital “brain rot.” We also break down how small modular nuclear reactors could reshape clean energy, and highlight the best tools and learning resources for building AI agents in 2026.

• The DRAG Method - How to Use AI to Upgrade Your Brain.

• 🧰 AI Tools

• Are Small Nuclear Reactors the Solution?

• 📚Learning Corner - AI Agents from Scratch

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📰 AI News and Trends

• How Anthropic achieved AI coding breakthroughs and rattled business.

• Why Big Tech Is Throwing Cash Into India in Quest for AI Supremacy.

• Gizmo, an interactive model that vibes code mini apps, is all the rage. Simply type out an AI prompt to explain your idea using natural language. The app turns your idea into an interactive experience by generating the code that makes it work.

• Google Gemini has surpassed 750 million monthly active users. MetaAI has ~500 million monthly users, and ChatGPT has ~810 million.

• Meta's Avocado vs. Kimi K2.5. Meta’s model reportedly outperforms top open-source base models. Kimi K2.5 is a solid model and exceeds expectations, making it an excellent choice for developers who can't afford or don't want to pay for Opus 4.5 and have to go with something cheaper to run their OpenClaw.

• OpenAI in Talks to Power Amazon’s Alexa, Other AI Products.

• An AI model developed by Google DeepMind is giving athletes new insights into how their bodies move by using AI 3d Videos to analyze their techniques.

Other Tech News

• Artificial snow is a short-term solution as climate change threatens the future of the Winter Olympics.

• First-ever experimental gene therapy seeks to restore vision by rejuvenating eye neurons.

• AT&T to use Amazon Leo, the e-commerce giant’s low Earth orbit satellite network, to deliver fixed broadband services to businesses.

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Are Small Nuclear Reactors the Solution?

Next-generation nuclear reactors are breaking away from the massive, slow, and expensive 20th-century model by going smaller, safer, and more efficient. New small modular reactors (SMRs) can be factory-built, installed faster, and scaled as needed, cutting construction risk and potentially lowering costs. Advanced fuels like HALEU (5–20% U-235) and TRISO particles can run longer between refueling and withstand temperatures above 3,200°F (1,800°C), improving safety.

Meanwhile, alternative coolants like molten salt, liquid metal, and gas allow reactors to operate above 500°C, versus ~300°C for water, boosting efficiency while reducing high-pressure risks. With global electricity demand rising from AI data centers, climate systems, and industrial electrification, these designs aim to deliver clean, reliable power faster if they can prove they’re truly cheaper and scalable.

📚Learning Corner

The DRAG Method

How to Use AI to Upgrade Your Brain.

Using AI correctly may not be as simple as we think. Most people are getting very lazy and relying on language models to do their thinking for them, and as the saying goes, “if you don't use it, you will lose it.” We are utilizing our brains less and less as technology provides us with powerful tools that don’t require much thinking on our part, but if we use them wisely, we can actually get more out of them, which will allow us to become brighter and mentally sharper.

That is when AI becomes a thinking amplifier; it takes your low-value cognitive load, sharpens your reasoning, and helps you move faster on the work that actually compounds.

The 4-Step Framework

Step 1 — DRAG the “Zone 1” Work Off Your Plate

Think of your work in two zones:

Zone 1 = low-stakes, repeatable tasks.
Zone 2 = high-stakes, high-leverage thinking.

The goal is to delegate Zone 1 to AI so you can obsess over Zone 2.

Use DRAG to offload the mundane:

• D — Drafting: first drafts, outlines, emails, post versions

• R — Research: summaries, citations, competitive scans, trend maps

• A — Analysis: pros/cons, frameworks, comparisons, decision memos

• G — Grunt Work: formatting, tables, checklists, SOPs, rewriting

Weekly win condition: if AI doesn’t save you 3–10 hours/week, you’re under-delegating.

Step 2 — Climb the Intelligent Hill (Stop “Hope-and-Pray” Prompting)

Most people do zero-shot prompting:

Instead, climb the “intelligent hill” through 4 levels. Each level increases quality and reduces hallucinations.

Camp 1 — One-shot Prompting

Give one example of what “good” looks like. Use it when you want a specific style (newsletter, LinkedIn, pitch deck tone).

Camp 2 — Few-shot Prompting

Give 3+ examples so it can learn patterns. Use it when you want a consistent brand voice across a whole system.

This forces clarity and reveals your own “hidden rules.”

Camp 3 — Chain-of-thought Reasoning (Slow the model down)

The goal is to reduce sloppy output by forcing explicit reasoning. This is used when stakes are higher (strategy, analysis, numbers, decisions).

Camp 4 — Agents (AI as a team)

Treat AI like multiple specialists, not one chatbot. You can use this when researching → synthesizing → writing in one flow.

Before you hit enter, try asking this to see the results:
“Can I upgrade this prompt one camp higher?”

Step 3 — Build the Intelligent Gym (AI as Your Spotter)

A “spotter” doesn’t lift for you. They are safe resistance so you get stronger.

Use AI to force higher-quality thinking:

• Ask it to attack your logic

• Ask it to steelman the opposite

• Ask it to find missing variables

• Ask it to create quizzes for your beliefs

Step 4 — Use the Fool’s Advantage (Learn-it-all Mode)

The “fool’s advantage” is the willingness to look dumb long enough to get smart. AI makes that cheap. Instead of avoiding hard topics, you can:

• compress months of confusion into 30 minutes.

• learn the basics, then climb to advanced.

• get analogies, examples, and mini quizzes.

Please share your experience using the drag method and whether it has become beneficial.

Your Payment Processor Is Hiding Your Revenue Leaks

Most businesses think churn = cancellations. - That’s wrong.

What your payment processor doesn’t clearly show you:

• Failed payments silently kill 5–9% of revenue

• Customers at risk before they cancel

• Which products actually drive churn

• How much revenue could be recovered every month

We built a real-time financial command center on top of Stripe and any payment processor that shows:

• MRR, Net Revenue, Churned MRR

• Revenue by product & customer

• Subscription risk alerts

• Failed payment recovery tracking

• Client lifetime value & tenure

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🧰 AI Tools of The Day

AI Agents - Easy Apps to start with.

• Copilot Studio - Complex multi-step AI workflows.

• Zapier AI - Business automation with apps.

• Notion AI - Personal and team productivity.