AI was supposed to win back our Friday afternoons, but most of us just ended up managing fragile tech stacks.
Here is the problem: a few prompts in n8n, Make, or Claude work great until the tool API updates, the prompt drifts, or the business process shifts.
If you want automations that actually last, you have to stop quick experimentation and start building deterministic systems:
– Map the business process *before* writing prompts
– Use structured JSON outputs instead of raw text parsing
– Build fallback handling when APIs or prompts fail
– Keep human-in-the-loop checks for critical workflows
What is the most frustrating automation failure you have had to fix recently?
Video Source
About the Author
