electrodog.aiProduct & R&D Teams
Product decisions should not disappear inside chat history.
Manage specs, architecture, research, experiments, and decisions as AI context you can branch, run, and preserve.
The pain
Linear chat works in the moment, but it falls apart when you need to compare directions, preserve decisions, and bring AI back to the same thinking state a week later.
The promise
Context that behaves like product infrastructure: branch, test, merge.
Why it works
What do you get beyond another AI chat?
Thread trees for non-linear thinking
Run AI on a full path, selected path, or single node
Move a chosen branch into chat with a clean context snapshot
Separate contexts for product, research, architecture, and GTM
Workflow
Three steps from messy context to a working brain
Model
Define a Core Context with goals, constraints, working style, and existing decisions.
Explore
Build a decision tree with product directions, technical alternatives, risks, and objections.
Handoff
Create a chat from a selected path so the next conversation starts with the exact context.
Use cases
Where does this fit into daily work?
Ready to let electrodog.ai guard your context?
Start with one context. Then branch it, run it, share it, and improve it as part of your company's infrastructure.