diff --git a/src/content/workflow-guardrails/steering.md b/src/content/workflow-guardrails/steering.md
index 80be523..b1df680 100644
--- a/src/content/workflow-guardrails/steering.md
+++ b/src/content/workflow-guardrails/steering.md
@@ -2,32 +2,25 @@
 title: Steering
 ---
 
-Steering is a fancy word for nudging. When the model does the wrong thing, you push it in the right direction.
+Steering is nudging. When the model does the wrong thing, you push it in the right direction.
 
-## Interactive Steering
+## Direct Steering
 
-The most immediate form is interactive: you [stop](/context-management/stop) the agent mid-execution and send a follow-up prompt, or [rewind](/context-management/rewinding) to edit a previous message and steer it differently from that point.
+The most immediate form: you [stop](/context-management/stop) the agent mid-execution and send a follow-up prompt, or [rewind](/context-management/rewinding) to edit a previous message and steer it differently from that point.
 
-This is prompting in the moment. You see what the model is doing, intervene, and redirect.
+You see what the model is doing, intervene, and redirect. This is the core skill of working with AI.
 
-## Activation Steering
+## Environmental Steering
 
-With open-weight models, you can steer at inference time by manipulating the model's internals. The process:
+You can also steer indirectly through [feedback loops](/workflow-guardrails/feedback-loops). For example, when writing TypeScript, adding a lint rule that flags the `any` type steers the model away from using it. The model sees the lint errors and adjusts.
 
-1. Run good prompts and bad prompts through the model
-2. Identify the activation patterns that differ between them
-3. Adjust weights to reinforce good behaviors and suppress bad ones
+This is steering through constraints rather than through prompts. You shape the environment, and the model adapts to it.
 
-This steers the model's outputs without changing the prompt. It's more technical and requires access to model weights.
+## The Difference
 
-## Fine-Tuning
+| Type | When | How |
+|------|------|-----|
+| **Direct** | In the moment | Stop, redirect, rewind |
+| **Environmental** | Before the task | Lint rules, type systems, tests |
 
-The most robust form of steering happens during training. You take a generalized model and run a final round of fine-tuning to shape it toward the behaviors you want.
-
-Fine-tuning is permanent—the steering is baked into the model itself rather than applied at inference time.
-
-## Steering Through Constraints
-
-You can also steer indirectly through [feedback loops](/workflow-guardrails/feedback-loops). For example, when writing TypeScript, adding a lint rule that flags the `any` type steers the model away from using it. The model learns from the lint errors and adjusts.
-
-This is steering through environment rather than through the model itself.
+Direct steering is reactive—you fix problems as they happen. Environmental steering is proactive—you prevent problems before they start.