docs: soften outdated training data line

Author: teamchong

docs/src/content/docs/why-querymode.mdx

@@ -5,7 +5,7 @@ description: Agents are the new users. They need dynamic pipelines, not pre-buil
 
 1. **Agents are becoming the majority of internet traffic.** They serve different owners across different parts of the world, but share the same training data and independently reach the same conclusions. When thousands of agents hit the same endpoints at the same millisecond, the result is thundering herds that look like a DDoS — except every request is legitimate. Data must live at the edge to survive this.
 
-2. **Agents need live data.** An agent making decisions on outdated training data is worse than no agent at all. Training data can't keep up with the speed the world produces information. Agents make API calls for live data — lots of them. That data needs to live at the edge, close to where agents run.
+2. **Agents need live data.** Decisions based on outdated training data lead to bad outcomes. Training data can't keep up with the speed the world produces information. Agents make API calls for live data — lots of them. That data needs to live at the edge, close to where agents run.
 
 3. **Pre-built ETL can't serve agents.** Traditional data pipelines assume a human pre-defines what questions matter, builds a pipeline on a schedule, and stores the results. Agents don't ask pre-defined questions. They chain queries in ways no pipeline designer anticipated — funnel analysis, then retention for just those users, then attribution for just those retained users. The pipeline doesn't exist until the agent creates it.