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.
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China’s Linglong One, the world’s first land-based commercial small modular reactor, should come online in 2026. Construction crews installed the core module in August 2023.
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.
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.
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:
Weekly win condition: if AI doesn’t save you 3–10 hours/week, you’re under-delegating.
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).
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?”
A “spotter” doesn’t lift for you. They are safe resistance so you get stronger.
Use AI to force higher-quality thinking:
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 Agents — Easy Apps to start with.
🧠 The DRAG Method — How to Use AI to Upgrade Your Brain. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.


