Direct evidence
Adjacent evidence
Hypothesis
Research gap
Source-backed material intelligence
A living material brain.
This is the shape of the Parable Lab system: a research graph that connects materials, evidence, properties, cultural prompts, and unknown gaps. The AI gathers and compares the evidence. Parable decides what the material means.
What this proves
Research can become navigable.
Papers, databases, lab notes, and image references become linked material knowledge.
Uncertainty can be useful.
The system does not hide weak evidence. It marks what is tested, adjacent, or still unknown.
Story remains human.
AI can surface patterns and prompts, but Parable owns the cultural reading and creative direction.
Gather sources
Harvest papers, material databases, Are.na references, lab records, images, and supplier notes.
Extract relationships
Pull out material pairs, process conditions, performance outcomes, and uncertainties.
Map evidence
Tag every link as direct evidence, adjacent evidence, hypothesis, or unknown gap.
Guide next tests
Turn the graph into research briefs, lab questions, visual reports, and design prompts.
The important boundary
This is not the AI doing Parable's storytelling. It is the system making the research visible enough for Parable to interpret it with rigour, imagination, and cultural intelligence.
AI searches
Find papers, databases, source documents, material references, and precedent.
AI compares
Show similar combinations, likely properties, contradictions, and missing evidence.
Parable interprets
Define sensory direction, narrative meaning, cultural frame, and design language.
Parable tests
Choose the physical experiments, partners, prototypes, exhibitions, and applications.
Native Obsidian layer
The working brain, embedded.
The designed graph above is the controlled public interface. This frame keeps the native Obsidian Publish experience available too: search, sidebar, backlinks, and the interactive graph remain connected to the vault.