AI Business Lab

Playwright Crawling Pipeline: Production Code Theory is over. Now we build. The Structure Collect → Filter → Store → Alert → Repeat Five steps in code. Step 1: Basic Collection Price Monitoring Example const { chromium } = require('playwright'); async function checkPrice() { const browser = await chromium.launch({ headless: true }); const page = await browser.newPage(); await page.goto('https://example.com/product/12345'); const price = await page.locator('.price').textContent(); const priceNumber = parseInt(price.replace(/[^0-9]/g, '')); await browser.close(); return priceNumber; } Key Points: headless: true → Background execution .locator() → Auto-wait included Always close browser Step 2: Filtering Logic const TARGET_PRICE = 50000; async function monitorPrice() { const currentPrice = await checkPrice(); if (currentPrice Step 3: Data Storage SQLite (Recommended) const ...

Building a Profit Pipeline with Playwright You've upgraded your engine. Now it's time to monetize. Crawling Is a Pipeline, Not a Tool Most people see crawling as "scraping data." But done right, it becomes: Data Collection ↓ Processing ↓ Analysis ↓ Auto Distribution ↓ Revenue Generation A system that runs 24/7. Three Real Revenue Models 1) Price Monitoring → Affiliate Revenue const price = await page.locator('.price').textContent(); if (price Structure: Track specific products on Amazon/Coupang. When price drops below target, auto-send Telegram/email with affiliate link. Key Points: Niche products have higher conversion rates 24/7 monitoring captures perfect timing Recurring purchases generate sustained revenue 2) Real Estate Listings → Brokerage Connection const newListings = await page.locator('.new-badge').all(); for (const listing of newListings) { saveAndNotify(price, location); } Structure:...

3 AM Alert: Your Crawler Stopped Again 3 AM. Slack notification: "Crawler failed." It worked perfectly last night. All tests passed. So why did it stop again? Staring at the error log, you ask yourself: "What did I do wrong?" You're Not Alone Countless developers face this exact frustration with Selenium: It worked yesterday, but not today Works locally, breaks on the server Increasing time.sleep(3) to time.sleep(5) doesn't help You end up building automation based on luck, not logic. The Real Problem This isn't about your skill. You're using the wrong engine. Just like car engines, browser automation tools have generations: Selenium = 1990s diesel. Reliable but slow and finicky Puppeteer = 2010s hybrid. Fast but limited to specific conditions Playwright = 2020s electric. Silent, fast, works everywhere Why Selenium Breaks Selenium communicates with browsers via HTTP. Every action re...

Why Forgetting Is Essential for AI Memory Most people assume that storing more is always better. But when building a memory system, I ran into something counterintuitive. The more you store without filtering, the less useful the system becomes. What happens when you store everything Important and unimportant information sit at the same level Noise increases with every search What actually matters gets buried You end up with a system that cannot retrieve anything reliably. How humans handle this Human memory works differently. Unimportant things fade naturally Old information becomes less vivid Only the core remains accessible This is why human memory stays functional over time. Memory is not stored. It is compressed. Forgetting is not deletion This is the key distinction. Forgetting does not mean erasing information. It means restructuring information density. The compression process looks like this: Full text Summary Core idea Keyword Af...

Why AI Cannot Remember Without Relationships Have you ever wondered: Why did the AI bring this up? The real issue AI does not fail to remember. It fails to connect. Scoring is not enough Importance helps Prioritization helps But something is still missing. How humans remember One idea triggers another Related memories surface together Context builds naturally The core difference Memory is not isolated. It is relational. How AI works today No relationships. What this causes Irrelevant results appear Context breaks Conversations feel disconnected Search vs Memory Search → finds similarity Memory → retrieves connections The solution Build relationships between memories. Relationship strength Strong links surface first Weak links surface later This defines retrieval order. Final takeaway AI does not lack memory. It lacks relational structure.

Why AI Cannot Remember What Matters When using AI, you notice something strange. It forgets important things, but repeats irrelevant ones. The real problem RAG is not memory. It is retrieval. What happens in practice Important information gets buried Less relevant data resurfaces Context keeps breaking The missing piece The problem is not storage. It is selection. How humans remember Important things last longer Frequently used things come up faster Old information fades away How AI works today Everything is treated equally. A different approach Importance Usage Recency Stability This creates priority. Before vs After RAG → everything is equal Memory system → prioritized structure The key shift Memory is not storage. It is a state that evolves over time. Final takeaway AI does not fail to remember. It lacks prioritization.