Soren Marlowe

Duplicate detection cuts wasted crawls by filtering at the right stage.

Agentic search adapts through multiple retrieval rounds while RAG answers once.

Grounding agents in live data, not model weights, cuts hallucination.

Research agents dig deeper and cost more, but they learn as they go.

Stale cached data silently corrupts agent decisions at enterprise scale.

Cleaning HTML for LLMs cuts token waste and measurably improves model accuracy.

Weighing custom scraping maintenance costs against managed API fees.

Courts and regulators have narrowed what AI developers can legally scrape from the web.

Most web scrapers operate legally by staying on the right side of four clear boundaries.

Understand the five-layer stack that separates competing libraries into complementary tools.

Async wins for HTTP, browsers need their own layer, and CPU work demands multiprocessing.

Agents silently act on bad proxy responses, turning blocks into corrupted data.

Layered techniques for building web agents that evade modern detection without constant failures.

Playwright outpaces Puppeteer with cross-browser support and auto-waiting reliability.

Legitimate automated clients must pass five sequential detection layers or get blocked immediately.

Headless browsers let AI agents interact with modern websites the way humans do.

Identify the four functional layers and how failure in each requires different fixes.

Web scraping is the invisible infrastructure keeping AI agents from hallucinating.