Owning Context in an AI-First Workflow
This week’sposts explored the difference between continuous work and constant restarting, and why that gap matters more than most people realize.
Two Workflows, Very Different Outcomes
We contrasted two realities that many AI users live in today.
One where work flows forward with context intact, and another where progress depends on endless copy-paste.
The difference isn’t effort; it’s whether memory travels with you.
Why MCP Changes How Tools Work Together
We highlighted how the Model Context Protocol allows tools to securely access myNeutron memory directly.
No re-explaining, no wasted context windows, just a workflow that stays intact as you switch tools.
Learn how MCP keeps workflows continuous
Owning Context vs Renting It
A simple but important idea: if insights vanish after one chat, the thinking never compounds.
myNeutron is built around owning context, so work builds on itself instead of resetting.
What People Actually Value Saving
We opened the floor to the community, asking what information matters most to preserve.
Docs, emails, notes, articles, or something else entirely.
The goal was to understand how real users define “valuable context.”
Continuous context turns one-off chats into real systems, where insight builds instead of evaporating
Get myNeutron and never lose context again