Maya Okafor

Crawlers that ignore robots.txt are multiplying fast and harder to stop.

Research agents live or die on how they handle messy, dynamic web data in iterative loops.

Live retrieval and structured outputs cut hallucinations roughly in half.

Raw web content and stale information degrade AI agent performance far more than token limits do.

Visualizing knowledge graphs turns research agent outputs into navigable, fact-checked networks.

Hybrid retrieval outperforms either semantic or vector search alone by combining their strengths.

How agentic design patterns behave differently when tools call live web data.

Reverse proxies block crawlers through layered detection beyond IP reputation alone.

Detect the signals that matter before wasting scrapes on noise.

Different memory types need different retrieval strategies, not a single vector search.

Iterative loops define how deep research agents reliably find and verify complex answers.