src/content/when_to_use_ai.md

@@ -5,15 +5,6 @@ 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
 
@@ -56,21 +47,5 @@ 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*.
 
-| Scenario | AI? | Reason |
+> *“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.”*
-| 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.”*