Build Small

Chico Smalls is a junior software engineer in Irving, Texas, building AI features on top of systems he does not own. When a routine model swap changes the behavior of a feature he spent weeks refining, the decision exposes something he has been feeling for months.
The cloud models are better.
The local models are his.
Episode One introduces the central tension of Build Small: the tradeoff between capability and dependency, convenience and control, rented intelligence and owned infrastructure. Chico begins experimenting with a local model on his own hardware and realizes that the gap between the two sides is not theoretical anymore. It has become personal.  
In this episode
  •  Chico Smalls and his role at Lattice Systems 
  •  The hidden dependency behind an "AI-first" product 
  •  A model change driven by cost rather than quality 
  •  Why local AI catches Chico's attention 
  •  The tradeoff between better output and greater control 
  •  The first hint that Chico may eventually have to choose a side 
The episode opens with Chico doing ordinary junior developer work inside an AI product whose intelligence actually lives somewhere else. 
By the end of the episode, he is running a model locally, seeing clearly that its output is worse, and discovering why ownership still matters to him. 
About Build Small
Build Small is a serialized fiction podcast about one developer's path from rented intelligence to owned infrastructure. New episodes follow Chico's story chapter by chapter, shaped by real signals from the technology and AI infrastructure world. 
Join the community
The developer community Chico eventually discovers in the story is real.
Discord: discord.gg/UqqmDP83V 
Disclaimer
This content is for educational and entertainment purposes only and is not financial, investment, or trading advice. 

What is Build Small?

Build Small is a serialized fiction podcast about Chico Smalls, a junior developer navigating the growing tension between cloud-dependent AI and local-first infrastructure. Each episode turns the pressures shaping modern AI development into a grounded story about ownership, dependency, work, community, and what it means to build something you can actually control.