Ray Svitla's Context Obesity Framework

Table of content
Ray Svitla's Context Obesity Framework

Ray Svitla is a fractional CMO and network-state researcher based in Lisbon. Born in Belarus, he fled two dictatorships before building WAKA dating app (100k users), organizing events with Vitalik Buterin, and helping clients raise $25M. Now he runs a 7-year project to accelerate value-based network states through 404 Embassy.

His “Context Obesity” framework explains why AI tools fail to reduce cognitive load. Not burnout. Overloaded working memory.

The Context Obesity Problem

From his HackerNoon article:

“AI doesn’t plug into a system - it plugs into chaos.”

The framework reframes common symptoms:

SymptomTraditional DiagnosisContext Obesity Lens
Exhaustion after AI sessionsBurnoutWorking memory overflow
Forgetting what AI saidPoor focusContext never captured
Repeating promptsAI limitationNo personal system prompt
Decision paralysisOverthinkingToo many open loops

AI tools amplify whatever system (or lack of system) you already have. Adding Claude to chaos produces faster chaos.

The Three-Step Fix

Svitla’s methodology:

1. Capture

Everything that enters your mind goes into one inbox. Not organized. Just captured.

Daily capture:
- Voice memos
- Screenshots
- Quick notes
- AI conversation exports

2. Structure

Weekly review to process the inbox:

ActionRule
DeleteNo longer relevant
DoUnder 2 minutes
DeferAdd to task list
FileGoes into notes

This is GTD, but applied specifically to AI-generated content and insights.

3. Personal System Prompt

Build a document that represents your current state:

Feed this to AI at session start. Svitla calls this moving from “Personal OS to Founder OS to Civic OS.”

The 404 Embassy Atlas

Svitla’s main project applies similar thinking to governance:

404 Embassy Atlas is an open-source database mapping network states, charter cities, and DAOs using the EPNC (Embassy Protocol for Network Cartography) classification framework.

LayerPurpose
Data collectionStructured research on governance experiments
ClassificationEPNC taxonomy for comparing entities
VisualizationObservable-based interactive maps

Same pattern as personal productivity: capture chaos, apply taxonomy, make it searchable.

Key Quotes

From his writing:

Key Takeaways

PrincipleImplementation
Externalize working memoryCapture before organizing
AI amplifies your systemBuild system first, add AI second
Weekly review is non-negotiableProcess inbox, update system prompt
Context is compoundingYour personal system prompt grows with you

Next: Artur Piszek’s WordPress Personal OS

Topics: productivity workflow knowledge-management ai-methodology