Start with TRY
STELaFOX GLOS
CORE · How It Works
(This is not a tutorial. This is an activation path.)
Stelafox CORE is not a product walkthrough.
It is a controlled activation sequence for structural AI systems.
You are not "trying a feature."
You are invoking an operating condition.
Step 0 · Preconditions (Implicit)
Before anything runs, three assumptions already hold:
▪ You understand that LLMs are not autonomous systems
▪ You accept that intelligence must be constrained to operate
▪ You are testing structure, not output quality
If any of these are unclear, stop here.
Step 1 · Capsule Selection (Boundary Definition)
A capsule is not content.
It is a scope boundary.
Each GXC capsule defines:
▪ What the AI is allowed to reason about
▪ What dimensions are observable
▪ What operations are forbidden
Selecting a capsule is equivalent to choosing
which parts of intelligence are enabled.
No capsule = no system
Step 2 · LLM Activation (Host Binding)
Capsules do not execute themselves.
You bind a capsule to:
▪ Your LLM of choice (GPT / Gemini / internal)
▪ A temporary token
▪ A limited time window
At this moment:
▪ The LLM is no longer generic
▪ It is operating under GLOS constraints
This is not "prompting."
This is runtime re-contextualization.
Step 3 · Structural Interaction (Observation Phase)
You do not ask open questions.
You observe how the system:
▪ Interprets spatial relations (LCTS)
▪ Handles incomplete perception (single-lens logic)
▪ Resolves decisions under constraint (SLM-AGI kernel)
If you are measuring "accuracy," you are measuring the wrong thing.
You are watching failure modes.
Step 4 · Result Externalization (Viewer Layer)
Results are surfaced through:
▪ Photo / Video Viewers
▪ Easy / Pro / Cinema pipelines
▪ JVM / JVP execution layers
▪ BUIL for document & structure output
These are bridges, not products.
They exist to:
▪ Make internal reasoning visible
▪ Freeze decisions into inspectable form
▪ Separate perception from execution
Step 5 · Termination (Mandatory)
When the time window closes:
▪ The capsule expires
▪ The token invalidates
▪ The LLM returns to baseline
Nothing persists unless you deliberately rebuild it.
This is by design.
☑️ What This Process Is Not
▪ It is not onboarding
▪ It is not a demo flow
▪ It is not optimized for convenience
▪ It is not designed for first-time users
If you are looking for:
"How do I get results faster?"
This system is not for you.
☑️ Why This Exists
CORE exists because:
▪ Real systems fail in non-obvious ways
▪ Vision without structure lies
▪ Intelligence without boundaries drifts
▪ Debugging must happen before deployment, not after incidents
This pipeline has already been:
▪ Used in doctoral research
▪ Evaluated by industrial AI labs
▪ Integrated into pre-commercial systems
It is public because hiding it adds no safety.
Final Note
You do not "learn" CORE.
You either:
▪ Recognize why it is necessary
or
▪ Do not need it yet
Both are acceptable.ork on foundations that must still function