Your agent is not slow. It is rereading old rules.

In the current scan, The surprising depths of prompt caching and Prompt caching for cheaper LLM tokens point to the same operator mistake: durable rules, reusable workflow, and one-off input get bundled together, so every run pays to reread context that should have stayed stable. This is current, not theoretical. The surprising depths of prompt caching gives the live signal, while Prompt caching for cheaper LLM tokens shows why prompt hygiene keeps showing up in developer attention and operational guidance. Public engagement signal: 306 points, 72 comments, score 100. If the page only has structure and labels, both readers and machines are left guessing. It needs the problem stated first. The visible page has to carry the story before any markup can help. A useful page makes the problem obvious before it tries to be machine-friendly. That is what lets the next person reuse the same structure without rediscovering the premise.

This is current, not theoretical. The surprising depths of prompt caching gives the live signal, while Prompt caching for cheaper LLM tokens shows why prompt hygiene keeps showing up in developer attention and operational guidance. Public engagement signal: 306 points, 72 comments, score 100. Audit prompt drift before swapping models. The thing worth caching is the stable rule set your team actually manages. Put the judgment in the body first, then let schema, RSS, and FAQ support it instead of replacing it. The useful question is whether a reader can tell what changed, what matters, and what to do next. The article should do that work before any metadata kicks in. When the judgment is visible, the page becomes easier to cite, easier to summarize, and harder to misread.

Split one high-frequency workflow into durable rules, reusable workflow, and one-off task input.; Remove duplicated identity or safety language from the stable prefix and version the reusable block.; Record the next drift trigger so you can see whether the problem is template noise or model behavior.; Name the stable rule block so operators can tell what is durable and what is changing.; Write the reuse rule down once so the next run starts from the same boundary. This checklist is not decorative; it keeps the first screen, title, summary, and body focused on the same question. If those pieces do not line up, the page is still a shell. The goal is to make a human-readable answer before the crawlable version exists. It also gives the editor a quick way to verify whether the page actually says what the markup will later repeat.

After the split, the prompt becomes a named rule stack instead of a drifting wall of instructions. Readers can paraphrase the problem more easily, and search can quote a complete answer instead of a disconnected metadata fragment. That is the difference between a page people skim and a page people keep. Once the page reads clearly, distribution gets much easier. The page also becomes easier to hand off because the same judgment survives without extra explanation.

Split the prompt prefix into three layers: durable rules, reusable workflow, and one-off input. Remove repeated identity, boundary, and format language, then version the stable block and review the most common workflow once. That makes drift easier to spot, cuts rereading, and helps you tell whether you actually need a new model. What should I inspect first? Split one high-frequency workflow into durable rules, reusable workflow, and one-off input.; Why does that come first? Remove duplicated identity or safety language from the stable prefix and version the reusable block.; What is the next product step? Inspect repeated context, stale instructions, and prefix drift before you reach for a new model. The goal is to make the page readable first and crawlable second. FAQ should help a human confirm the judgment, not just provide another field for markup. It should carry the same conclusion in a simpler form. The best FAQ entries answer the same question in shorter language and keep the page specific.