Explore a connected idea
Fieldnotes and practical guides connected by ai systems.
AI appears in several distinct parts of this subject: classifying domains, producing advertising, and operating automated clients. Each has a different observable surface and a different control problem. The articles here separate those meanings before proposing rules. Ask what the system claims to know, what evidence supports that claim, and what uncertainty remains. Reserve important decisions for review when the consequences exceed the strength of the evidence.
Start with an article that matches the task in front of you. Compare its examples with your actual configuration, record what you can observe, and preserve the distinction between a tested result and a broader assumption. The related guides below offer a shorter reference when you need to revisit the fundamentals.
Evaluate banner advertising by its delivery, page behavior, and filtering rules, with a practical framework for readers and publishers that avoids unsupported claims about detecting AI-generated creative everywhere.
6 min readAn AI score becomes useful when its target, evidence, and uncertainty are visible. Learn how to evaluate domain classifications and choose thresholds that reflect the cost of mistakes.
6 min readChoose crawler controls by purpose: publishing preferences, access restrictions, and traffic management solve different problems. Build a practical policy with robots.txt, server checks, measured rollout, and useful logs.
6 min read
