diff --git a/src/assets/ai_generated_blindfold.jpeg b/src/assets/ai_generated_blindfold.jpeg
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--- a/src/routes/posts/an_ai_generated_blindfold.mdx
+++ b/src/routes/posts/an_ai_generated_blindfold.mdx
@@ -3,11 +3,18 @@ meta:
   title:  An AI-generated blindfold
   description: Increasingly, I'm finding it hard to hard to get a sense of human consensus on a topic from the internet 
   dateCreated: 2026-08-27
+  image: "ai_generated_blindfold"
 
 tags: 
   - "software_engineering"
   - "ai"
+
 ---
+import blindfold from "@/assets/ai_generated_blindfold.jpeg";
+
+
+
+
 
 Let's say I've got whatever question, usually about AI; here are real examples of questions I've had
 
@@ -30,12 +37,16 @@ This makes it hard to assess whether people are actually getting value form that
 
 Similarly - I can find various tools online, but again it's hard to assess whether anyone is getting value from them, or if it is a vibe coded side project with no real battle testing. 
 
+<img src ={blindfold.src} alt="ai generated image. A man is crouching in a messy room surrounded by books and computer in the background. He is wearing a device over his eyes which appears appears some kind of graphic interface." className="blog-image" style={{height: 400, display: "block", margin: "40px auto"}}/>
+
+
 ## It's less of a problem for regular pre-AI software engineering concepts
 
 Recently I've been doing more with telemetry and observability. 
 
 I use chat-based AI for this and generally I trust the answer I'm getting. 
 
+
 ## It's more a problem for new fields - such as AI itself
 
 AI is a fast moving field - so it's fair to say 'of course you can't get a clear picture of what the consensus is - there _is_ no consensus'.