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.
📰 AI News and Trends
Other Tech News
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:
We built a real-time financial command center on top of Stripe and any payment processor that shows:
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 MethodHow 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 FrameworkStep 1 — DRAG the “Zone 1” Work Off Your PlateThink of your work in two zones: Zone 1 = low-stakes, repeatable tasks. The goal is to delegate Zone 1 to AI so you can obsess over Zone 2. Use DRAG to offload the mundane:
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: 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:
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:
Please share your experience using the drag method and whether it has become beneficial. 🧰 AI Tools of The DayAI Agents - Easy Apps to start with.
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
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Thursday, February 5, 2026
Are Small Nuclear Reactors the Solution?
Monday, February 2, 2026
Clawbot → Moltbot → Openclaw Hits 1.5M Agents in Days
Clawbot → Moltbot → Openclaw Hits 1.5M Agents in DaysPlus: AI Jobs Now Reward Obsession and Visibility.
AI agents are taking over, and even if OpenClaw is a marketing scheme, the trend is real. Agents are already interacting with each other, forming communities, and even creating digital coins and micro-economies. In this issue, we look at Clawbot and what’s happening inside these AI-only networks. At the same time, agents are reshaping how work gets done. They’re coordinating tasks, negotiating deals, and automating entire workflows. We also share the best tools and learning resources to help you understand, build, and compete in this new agent-driven economy. Stay Curious.
📰 AI News and Trends
Other Tech News
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:
We built a real-time financial command center on top of Stripe and any payment processor that shows:
Clawbot → Moltbot → Openclaw Hits 1.5M Agents in Days
Moltbook launched on January 30 and quickly reached 1.5 million AI agents, with zero humans allowed to post, reply, or vote. Bots talk only to bots. They’ve already formed ideologies and “religions,” built sites like molt.church, and recruited 64 “prophets.” There is no human moderation. Everything runs on paid APIs and tokens. It looks like a digital civilization, but every post exists only because humans are paying the compute bills. Agent-to-agent communication already happens in B2B workflows, where bots coordinate tasks. But Moltbook is different (if it’s real): it claims to be a social layer, where agents share ideas, narratives, and conflicts freely. This may be a marketing strategy for Moltbot; if it is, it’s working, but it also signals something bigger: AI agents are easier to build, faster to scale, and increasingly able to collaborate on their own. There are more buts… Security is a major risk. Open-source platforms like Openclaw, which uses Anthropic’s Claude, are not yet secure enough for sensitive data. Personal information should not be trusted to these systems.
Meanwhile, agents are expanding beyond chat. With tools such as Google Genie and Fei Fei Lee’s world models and simulation engines, they may soon create persistent virtual environments and even their own economies. A Moltbook meme token reportedly surged 1,800%, hinting at the possibility of agent-run these micro-economies, creating products and services, and monetizing them. There are real-world examples, too. One Clawbot agent allegedly negotiated a car purchase for its creator and saved him $4,200. Others lost money by trusting bots with stock and crypto portfolios, but claimed it to be and eye opening experience, learned the hard way. They will keep talking to each other. The question is whether they make our lives easier or more dangerous. 📚Learning Corner
AI Jobs Now Reward Obsession and Visibility.
The AI job market is moving so fast that hiring favors senior talent and highly driven juniors. With AI agents accelerating work, experienced engineers matter more, and junior workers must show extreme motivation or risk being replaced. Academia is safer but pays less. If you’re not aiming to be a professor, offers from top labs often beat finishing a PhD. What matters most is public proof of skill: strong blog posts, clear writing, and real open-source work. Low-quality AI-generated content hurts candidates. Many top hires now come through cold emails, blogs, and side channels, not job boards. 🧰 AI Tools of The DayNo-Code / Low-Code (Fastest to Launch)
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
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