'Sure, here's your requested 5-word commit message for the blog post:

"AI vs Traditional: When & Why?"'

src/content/when_to_use_ai.md

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 # When to use AI
 
-## The Great AI Debate  
+Hey there, tech enthusiasts! Whether you're an aspiring journalist with a knack for software development and DevOps expertise (like me), or simply someone who loves diving into new technologies while sipping on your favorite coffee at home—today we're tackling one of the most frequently asked questions in our field: "When should I consider using AI?" Or as I'm sure you've heard, why can't it do this? Buckle up because we'll explore scenarios where artificial intelligence shines and others that are better off sticking to traditional methods. Let's dive into when it's time for an AI intervention versus a good old-fashioned manual approach.
-You know, there’s this question that’s been coming up professionally for me a lot lately: *“When to use AI?”* Or, more politely, *“Why can’t AI do this?”* It’s a question that makes me think about my own brain, which is basically a giant, messy, and occasionally unreliable machine. But if I can’t figure out how to map work types to work requests, maybe I can help others figure it out. Let’s be real—AI is like a supercharged version of a human’s ability to do something. But not always. Sometimes, it’s the *exact* opposite.
+
+## The Great Debate: When Should I Use My Smart Home Assistant?
+
+Imagine you're trying out the latest smart home assistant, hoping it'll manage your household chores with ease—until you realize it can't differentiate between "sugar" and "curry leaves." That's when it's clear that AI isn't always up to snuff. It's like expecting a chef (AI) who can follow recipes perfectly but struggles in an actual kitchen setting versus the cook (traditional methods), who's got years of experience under their belt.
+
+## Scenarios Where Relying on Your Smart Assistant Won't Cut It
+
+### 1. **Manual Tasks That Require Human Judgment**
+
+Picture this: you're trying to teach your smart assistant how to distinguish between a ripe avocado and an unripe one by feel alone—it's not going to get it right every time, because it's missing the human touch.
+
+- Manual tasks that require interpretation
+- Ambiguous data needing context understanding
+
+### 2. **Precision-Driven Tasks**
+
+Ever tried asking your smart assistant for directions in French without any prior knowledge? It's like expecting a calculator (AI) that's great at crunching numbers to understand poetry—it's not its forte, especially when it comes down to accuracy.
+
+- Financial calculations
+- Error-free data entry
+
+### 3. **Creative or Intuitive Tasks**
+
+If you asked your smart assistant for an original joke about kangaroos and quantum physics while you're on a coffee break in Sydney's Darling Harbour—it might come up with something clever, but it's not going to make it the funniest—or even relevant—joke you've ever heard.
+
+- Creative writing
+- Generating unique ideas
+
+## The Right Time To Call In Human Help (AKA Traditional Methods)
+
+So when is AI actually useful? Well:
+
+- **When you need speed**: Processing thousands of data points or sorting through endless emails.
+  
+  - Data entry tasks that don't require interpretation
+  
+- **When consistency matters most**: Automated reporting, formula-based analysis—where a human's subjective judgment could lead to inconsistency.
+
+  - Repetitive calculations
+  - Standardized processes
+
+## The Balance: AI + Human Judgment (Or at Least A Taste Of It)
+
+AI is an incredible tool that can save us time and effort on certain tasks. But it's not omnipotent—it's there for the heavy lifting, but we still need to call in our human experts when it comes down to making nuanced decisions or handling complex problems.
+
+- AI can't replace creativity
+- Human oversight ensures quality
+
+## Conclusion: Embrace The Right Tool For The Job (Or At Least A Good Joke)
+
+In summary:
+
+AI is great for tasks that are repetitive, data-heavy and don't require deep interpretation. But when it comes down to precision-driven work or anything requiring a human touch—trust your instincts.
+
+So next time you're faced with the question: "When should I use AI?" remember this rule of thumb (pun intended): *If it's not going to make an error*, then maybe, just maybe, you can trust that smart assistant after all. But if there's even a hint it might trip over its own feet—well... you've got your work cut out for yourself.
+
+Cheers! And don't forget: the best AI is one that's used correctly—and sometimes left alone while we humans do our thing!
 
 ---
 
-## The Problem with AI  
+**Edit notes:** - Added Australian humor (Darling Harbour reference) and light-hearted analogies.
-So, I was working on a spreadsheet that analyzed work orders and tried to figure out where we could save time. The dataset was a few thousand work orders, each with a type and a duration in days. The goal was to group these work types into two categories and find where the savings could be. The challenge? Mapping work types to work requests. It’s like trying to find a needle in a haystack, but the haystack is made of text. And the needle? It’s a work type. At first, I thought, *“This is a perfect AI task.”* But then I realized: this is a **textual detective** problem. AI can’t just *look* at text and *find* the right match. It needs to *understand* the context, the nuances, and the *exact* phrasing. And that’s where the human brain shines.
+- Included a comedic tone throughout to keep it engaging yet informative.
-
----
-
-## When AI is the Best Tool  
-So, when does AI actually work?  
-
-### 1. **When the data is structured and clear**  
-If the input is clean, well-defined, and the task is straightforward, AI can be a game-changer. For example, if you need to generate a report from a CSV file, AI can handle that with ease.  
-
-### 2. **When the task requires pattern recognition**  
-AI is great at finding patterns in data. If you want to predict future sales based on historical data, AI can do that. It’s not perfect, but it’s *very* good at it.  
-
-### 3. **When you need to automate repetitive tasks**  
-If you have a workflow that’s been done manually for years, AI can take over the grunt work. Like, if you need to format emails, generate reports, or clean data, AI can do that faster and with less error.  
-
----
-
-## When AI is *Not* the Best Tool  
-Now, here’s the thing: AI isn’t a magic wand. It’s a *tool*, and sometimes it’s not the right tool for the job.  
-
-### 1. **When the task requires precision and accuracy**  
-If you need to write a formula that calculates something with exact numbers, AI might not be the best choice. For example, if you’re building a spreadsheet that needs to calculate interest rates with precise decimal places, a human is better at that.  
-
-### 2. **When the task involves complex logic or decision-making**  
-If you need to make a decision based on multiple variables (like whether to approve a loan or not), AI might not be the best fit. It’s great at *choosing* between options, but it’s not great at *evaluating* them.  
-
-### 3. **When the data is too messy or unstructured**  
-AI works best with structured data. If you have a mix of text, numbers, and dates in a spreadsheet, it might not handle it as well as a human.  
-
----
-
-## The Final Thought  
-So, in summary:  
-- **AI is great when the task is clear, structured, and requires pattern recognition.**  
-- **AI isn’t the best when the task requires precision, accuracy, or complex decision-making.**  
-- **Sometimes, it’s just better to rely on your brain.**  
-
-And that’s the thing: AI isn’t a replacement for humans. It’s a *tool* that can help us do things faster, smarter, and with less error. But when the task is too complex, too messy, or too human-like, it’s better to let the human do it.  
-
----
-
-## Call to Action  
-So, the next time someone asks, *“When should I use AI?”* remember:  
-- Use it when it’s *clear* and *structured*.  
-- Avoid it when it’s *complex* and *messy*.  
-- And always leave room for your brain to do the hard work.  
-
-After all, the best AI tools are the ones that let humans do the real work.  
-
----
-
-**Edit notes**:  
-- Use bold for emphasis (e.g., "textual detective").  
-- Add humor with metaphors (e.g., "supercharged version of a human").  
-- Keep sections short and easy to navigate.  
-- Add a call to action to engage readers.  
-- Only output the markdown.  
-
-<|end_of_thought|>
-
-<|begin_of_solution|>
-
-# When to use AI
-
-## The Great AI Debate  
-You know, there’s this question that’s been coming up professionally for me a lot lately: *“When to use AI?”* Or, more politely, *“Why can’t AI do this?”* It’s a question that makes me think about my own brain, which is basically a giant, messy, and occasionally unreliable machine. But if I can’t figure out how to map work types to work requests, maybe I can help others figure it out. Let’s be real—AI is like a supercharged version of a human’s ability to do something. But not always. Sometimes, it’s the *exact* opposite.
-
----
-
-## The Problem with AI  
-So, I was working on a spreadsheet that analyzed work orders and tried to figure out where we could save time. The dataset was a few thousand work orders, each with a type and a duration in days. The goal was to group these work types into two categories and find where the savings could be. The challenge? Mapping work types to work requests. It’s like trying to find a needle in a haystack, but the haystack is made of text. And the needle? It’s a work type. At first, I thought, *“This is a perfect AI task.”* But then I realized: this is a **textual detective** problem. AI can’t just *look* at text and *find* the right match. It needs to *understand* the context, the nuances, and the *exact* phrasing. And that’s where the human brain shines.
-
----
-
-## When AI is the Best Tool  
-So, when does AI actually work?  
-
-### 1. **When the data is structured and clear**  
-If the input is clean, well-defined, and the task is straightforward, AI can be a game-changer. For example, if you need to generate a report from a CSV file, AI can handle that with ease.  
-
-### 2. **When the task requires pattern recognition**  
-AI is great at finding patterns in data. If you want to predict future sales based on historical data, AI can do that. It’s not perfect, but it’s *very* good at it.  
-
-### 3. **When you need to automate repetitive tasks**  
-If you have a workflow that’s been done manually for years, AI can take over the grunt work. Like, if you need to format emails, generate reports, or clean data, AI can do that faster and with less error.  
-
----
-
-## When AI is *Not* the Best Tool  
-Now, here’s the thing: AI isn’t a magic wand. It’s a *tool*, and sometimes it’s not the right tool for the job.  
-
-### 1. **When the task requires precision and accuracy**  
-If you need to write a formula that calculates something with exact numbers, AI might not be the best choice. For example, if you’re building a spreadsheet that needs to calculate interest rates with precise decimal places, a human is better at that.  
-
-### 2. **When the task involves complex logic or decision-making**  
-If you need to make a decision based on multiple variables (like whether to approve a loan or not), AI might not be the best fit. It’s great at *choosing* between options, but it’s not great at *evaluating* them.  
-
-### 3. **When the data is too messy or unstructured**  
-AI works best with structured data. If you have a mix of text, numbers, and dates in a spreadsheet, it might not handle it as well as a human.  
-
----
-
-## The Final Thought  
-So, in summary:  
-- **AI is great when the task is clear, structured, and requires pattern recognition.**  
-- **AI isn’t the best when the task requires precision, accuracy, or complex decision-making.**  
-- **Sometimes, it’s just better to rely on your brain.**  
-
-And that’s the thing: AI isn’t a replacement for humans. It’s a *tool* that can help us do things faster, smarter, and with less error. But when the task is too complex, too messy, or too human-like, it’s better to let the human do it.  
-
----
-
-## Call to Action  
-So, the next time someone asks, *“When should I use AI?”* remember:  
-- Use it when it’s *clear* and *structured*.  
-- Avoid it when it’s *complex* and *messy*.  
-- And always leave room for your brain to do the hard work.  
-
-After all, the best AI tools are the ones that let humans do the real work.  
-
----
-
-**Edit notes**:  
-- Use bold for emphasis (e.g., "textual detective").  
-- Add humor with metaphors (e.g., "supercharged version of a human").  
-- Keep sections short and easy to navigate.  
-- Add a call to action to engage readers.  
-- Only output the markdown.  
-
-<|end_of_solution|>