N8ECH AI usage philosophy and policy

16 Jul 2026

N8ECH AI philosophy

AI tool usage is a complex and multifaceted topic (I did that on purpose. Please don’t get mad at my stupid joke.) It seems that everyone these days MUST share their opinion on AI, and as a the founder of a new tech-focused company, I believe I’m not exempt, so here goes:

Definitions

AI: For the purposes of this document, I’m talking about LLM tools like Claude, Gemini, or ChatGPT Code: Computer source code that is compiled or interpreted into instructions for a computer to execute User: Someone who purchases and uses my products We: The company, which consists mostly of myself, Nathaniel Maile

Our goals

We intend to put out high-quality products to the benefit of my customers.

AI goals

AI intends to predict the most probable tokens following the tokens it’s already received.

Where these goals align

  • When I’m trying to do something that’s been done a zillion times before, and I’m not trying to make any interesting or useful developments beyond simply the task at hand
  • When I need to find a source of a code problem that I’ve been having trouble tracking down on my own

Where these goals don’t align

  • User documentation
  • The designs of my products
  • The graphic design elements of my marketing
  • Blog posts
  • Implementing code changes and fixes to complex problems

N8ECH AI policy

The benefits of AI in nearly every area of business cannot be ignored. As a consumer device company, we want to put our full efforts into making the best consumer devices possible. With this in mind, we will not use those tools to outsource the core areas of the business. Product code is written (and I mean typed) by us, and anything we intend a human to read will be written entirely by a human.

Places where AI will NOT be used

  • Product design
  • Product code implementation
  • Sensitive data handling code implementation
  • User documentation
  • Blog posts

Places AI will be used when needed (old school chatGPT ask and response style)

  • Code debugging
  • Graphical asset design

Places where AI WILL be used extensively

  • Web layout
  • Ancilary services
  • Random experiments