fix conflicts

git commit -m "AI: Know when to use it"
```

**Explanation of the commit message:**

*   **Concise:** It's short and to the point, adhering to the common 5-word limit.
*   **Descriptive:** It accurately reflects the content of the blog post – a discussion about when to utilize AI.
*   **Action-oriented:**  Implies a need for thoughtful consideration.
'

src/content/when_to_use_ai.md

@@ -5,6 +5,15 @@ Category: AI, Data
 Tags: ai, python
 Slug: when-to-use-ai
 Authors: Andrew Ridgway
+Summary: Should we be using AI for ALL THE THINGS!?
+
+
+# Human Introduction
+Well.. today is the first day that the automated pipeline has generated content for the blog... still a bit of work to do including
+
+1. establishing a permanent vectordb solution (chromadb? pg_vector?)
+2. Notification to Matrix that something has happened
+3. Updating Trilium so that the note is marked as blog_written=true
 
 ## The Great AI Debate: When to Trust the Machine vs. When to Stick to Your Brain
 
@@ -47,5 +56,21 @@ While AI shouldn't be trusted to run calculations, it can be helpful in suggesti
 
 AI is good at *finding connections* and *handling ambiguity*, but it’s *not good at precision*. When you need to ensure that a calculation is accurate, or that a mapping is flawless, AI is not the best choice. And that’s where humans shine. We’re good at *seeing* the connection between two things, even if it’s not obvious. We’re good at *precision* and *accuracy*.
 
-> *“I was given a list of work types that could be grouped into 1 of 2 categories exclusively.”*
-> *“The problem was… the ‘work types’ and work requests were at best tangentially related.”*
+| Scenario | AI? | Reason |
+|---|---|---|
+| Ambiguous data | ❌ | AI struggles with context |
+| Repetitive tasks | ✅ | AI handles math and logic |
+| Creative decisions | ❌ | AI lacks the ability to think creatively |
+
+So I had to manually read each work type and map it to a work request. It was a *shudder-inducing* task.
+
+## The Final Thought
+
+So, in summary:
+
+*   **AI is not the best choice** when you need precision, accuracy, or a human touch.
+*   **AI is the best choice** when you need to handle ambiguity, find connections, or automate repetitive tasks.
+
+And that’s why I’m a journalist, a developer, and a DevOps expert. I know when to trust the machine and when to rely on my brain.
+
+> *“When in doubt, just do it.”*