Your AI project WILL break. Welcome to the Day 2 problem.
The questions to ask BEFORE you start building, to make sure it keeps working. "That thing you built is down - how do we fix it? " Despite the pure bliss of shipping something you've built with AI, if you've actually launched a few things on your own, you probably know the feeling in the pit in your stomach when something breaks.
Key Takeaways
- Or just the looming sense of dread when something you've created starts to expand and you're not really sure how to handle it.
If you come from a non-technical background, this can be fatal for your momentum.
- And this particular challenge - where you build something, but it breaks down the road - is a perfect example.
- It takes forever, so everyone is several weeks behind.
So after thinking about it over the weekend, Dave hits the ground running on Monday morning.
- There's no record of what the AI did for each step - it just says "Automation complete.
- Wednesday Dave is stuck in back-to-back meetings all afternoon.
Or just the looming sense of dread when something you've created starts to expand and you're not really sure how to handle it. If you come from a non-technical background, this can be fatal for your momentum. There's so much possibility for what LLMs can help us create, but most AI tools are not designed to teach you how the underlying infrastructure works.
So when things fall apart, it's not always clear what happened or why. Just to be clear: You don't need to feel bad about this! Jumping in to start building is often the best way to learn.
You're probably trying to solve problems that you didn't previously know existed, and you likely don't even have a name for what you're trying to do. I'm currently a marketer, but I came up through the world of software engineering, getting my degree in CS and working as a dev for years before making the switch. So I have a unique perspective on where this stuff is going wrong.
For more details please read the original article at n8n Blog.
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