# Low Tech Rules!

Canonical page: https://capsules.run/research/low-tech-rules/

Subtitle: The Typewriter Moment for AI, Local LLMs, and the Protocol Stack.

This article argues that local models are becoming the democratizing moment for AI. Capsules are the paper: a low-tech, portable substrate that lets humans and models collaborate without requiring a platform to hold all the context.

## Core Thesis

The winning architecture may be less tech stack and more protocol stack. If local models can execute meaningful workflows, organizations do not always need SaaS or PaaS infrastructure for every AI collaboration. They need an artifact that carries context, provenance, state, and instructions.

## Typewriter Analogy

The typewriter mattered because it made a complex capability broadly accessible through a simple interface. Local models play a similar role for AI: they move capability closer to the user. Capsules provide the document substrate that makes collaboration portable.

## Why It Matters

- Local execution supports privacy and lower infrastructure dependence.
- Protocol-first artifacts can move across tools.
- A `.capsule` file can preserve work history without a hosted database.
- Collaboration can remain inspectable because the event chain travels with the work.

## Current Framing

Local Models like Gemma 4 are becoming the democratizing moment for AI.