Lab

Alignment Lab

An interactive Neurokinetic AI lab for exploring language residue, dense/sparse retrieval balance, abstention thresholds, concept IDs, side channels, and UAI-style render targets.

Interactive alignment surface

Inspect how retrieval evidence becomes a concept record.

The Lab uses precomputed examples plus local custom-text normalization and heuristic matching in the browser. It is not sending custom text to a hosted model endpoint on this page.

Scenario library

Neutralization 72% Dense / sparse balance 58% dense Abstention threshold 66% Side-channel sensitivity 64%

The center is the concept registry; orbiting traces are mutable language surfaces.

Surface expressionHello / Hola / Bonjour

Normalized formhello | hola | bonjour

Semantic neighborhoodGreeting, salutation, channel opening

Concept IDC.GREETING.OPENING

Core invariantOpen a social channel

Side channelsRegister and time of day

Confidence86%

Language residue18%

Retrieval modeHybrid, dense-led

Render targetsLocalized greeting, chat opener, UAI-1 intent envelope

Active stage

Normalize

Preserve the original expression while creating a comparison form with stable spacing, case, and Unicode normalization.

Risk controlled: encoding drift and confusable surfaces.

Candidate ranking

Resolution trace

Rendered envelope

Normalize

Preserve the original expression while creating a comparison form with stable spacing, case, and Unicode normalization.

Embed

Represent the expression in dense, sparse, or late-interaction neighborhoods where candidate concepts can be retrieved.

Neutralize

Separate language residue and side channels from the core invariant the handoff needs to preserve.

Resolve

Select a concept ID only when the evidence is strong enough; otherwise the system should abstain.

Render

Return the concept as the target surface required by the receiving person, system, or protocol.

Continue through the Neurokinetic AI semantic layer.

Open the Alignment Lab