LGRI organizes methods for personal research continuity, source discipline, structured synthesis, project context, decision records, and learning feedback. Its framework and public output path remain under development.
LGRI
Research frameworkPersonal Research Intelligence Framework.
LGRI explores how AI can support long-term personal research capability through knowledge organization, research integration, project intelligence, decision support, and learning feedback.
- 01 knowledge
- 02 research
- 03 decision
- 04 learning
Research remains source-led, human-reviewed, and non-commercial.
Current reality
A personal research intelligence framework under development.
Current dimensions
Five connected research practices.
The framework explores how AI may support research while human responsibility remains explicit.
- 01
Knowledge organization
- 02
Research integration
- 03
Project intelligence
- 04
Decision support
- 05
Learning feedback
Validation objective
Can personal research capability compound?
The question is whether traceable sources, structured synthesis, project context, decision records, and learning feedback can strengthen long-term personal research capability.
Publication boundary
Public evidence follows governed research.
Any future public research output requires traceable sources, explicit scope, limitations, accountable review, and publication approval. No regular publication program or institutional research capacity is claimed.
Current limit
A framework is not a product claim.
No claim is made about customers, commercial availability, market validation, autonomous conclusions, or production-scale research performance.