---
title: "KYE Protocol™ — Continuity Module™ · preserve authorised meaning across delegation"
description: "The KYE™ Continuity Module™ checks whether the authorised meaning of an action survives delegation, interpretation, memory, context, incentives, timing…"
url: https://kyeprotocol.com/meaning-continuity/
lang: en
source: "KYE Protocol"
---

> The KYE™ Continuity Module™ checks whether the authorised meaning of an action survives delegation, interpretation, memory, context, incentives, timing…

KYE™ Continuity Module™ · v1.1

# Did the meaning survive?

Most systems prove what happened. KYE™ also asks whether the meaning survived. The Continuity Module™ checks for drift across intent, interpretation, memory, context, incentives, timing, and handoff.

1 · Why now

## Authority → execution is incomplete.

In agentic systems, an action's meaning can drift before it runs. The EU AI Act Art. 13 and NIST AI RMF Measure-2.5 both want you to show meaning was preserved end-to-end, not just that authority was granted.

Most AI governance products model:

```
authority → execution
```

KYE™ models the agentic reality:

```
intent → interpretation → memory → context → incentives → timing → handoff
       → state → proposal → admit → authority → commit → evidence
```

The Continuity Module™ catches drift before it becomes a commit.

2 · Provenance is not continuity

## Five questions. Five answers.

Provenance, attribution, authority, admissibility, and continuity are five distinct guarantees. KYE™ binds all five into one replayable record. Most systems stop after authority.

### Provenance

Where did this come from?

### Attribution

Who or what acted?

### Authority

Was the actor allowed?

### Admissibility

Should this proposal enter the pipe?

### Continuity of meaning

Did the meaning survive?

### Evidence

What proves it?

> Attribution proves who acted. The Continuity Module™ checks whether the action still means what it was supposed to mean.

3 · Lifecycle

## Signal to evidence — meaning checked at every step.

You see each step in the audit chain. Admission decides if the proposal may enter. Authority decides if it may proceed. Commit decides if it becomes real. Continuity checks meaning across the whole arc.

```
Signal
  → Intent
  → Interpretation
  → Memory + Context
  → Continuity Module™
  → Proposed Action
  → Admissibility
  → Authority
  → Formal Rules
  → Runtime Decision
  → Commit Boundary™
  → Execution
  → Evidence Pack™
```

4 · Drift codes

## Eleven drift types. Each one signed.

When meaning drifts, KYE™ records a drift event, hash-chains it into the audit ledger, and emits a signal on the KYE™ Signal Bus™. You wire alerts on the signal; auditors map the codes to ISO 42001 controls.

- **constraint\_loss** — a material constraint lost during interpretation
- **context\_loss** — context referenced at intent dropped before action
- **memory\_conflict** — memory used contradicts current state
- **timing\_drift** — delay between intent and action changed meaning
- **handoff\_drift** — meaning changed across human / agent / tool boundary
- **incentive\_drift** — commercial or affiliate conflict surfaced
- **state\_transition\_drift** — state changed since intent invalidates action
- **interpretation\_drift** — agent re-read the goal materially
- **assumption\_injection** — agent added assumptions not in the intent
- **meaning\_compression** — interpretation lost detail
- **meaning\_expansion** — interpretation widened scope

Decision outputs: `meaning_preserved`, `meaning_degraded`, `meaning_broken`, `require_clarification`, `require_reconfirmation`, `require_human_review`, `pause_admission`, `quarantine_proposed_action`, `route_to_admissibility`, `route_to_authority_check`.

5 · Schemas (Apache 2.0)

## Four normative JSON objects. Validated by ajv in CI.

Each schema is JSON Schema 2020-12 with a stable `$id`. You can mirror them locally or pull them from the public Hugging Face dataset.

- `meaning-continuity-context.json` — the per-action context (original meaning, interpretation, memory, incentive, timing, handoff)
- `handoff-trace.json` — the chain of meaning transitions across boundaries
- `meaning-drift-event.json` — one record per detected drift
- `meaning-continuity-decision.json` — runtime ruling and obligations

Mirrored as a Hugging Face dataset: [huggingface.co/datasets/KYE-Protocol/schemas](https://huggingface.co/datasets/KYE-Protocol/schemas).

6 · Apps and engines

## Five engines. Contracts open. Engines paid.

Each engine binds to the same JSON schemas above. You can run a local validator on day one; the paid engines add the detection, scoring, and recon flow needed under DORA Art. 11.

### KYE™ Continuity Engine™

Preserve authorised meaning across delegation. Checks original intent, constraints, context, memory, incentives, and timing.

### KYE™ Drift Monitor™

Detect when interpretation, memory, context, or handoff changes what an action means.

### KYE™ Handoff Trace Viewer™

See where meaning changed across humans, agents, tools, workflows, and APIs.

### KYE™ Evidence Pack™

Replayable evidence that shows whether meaning was preserved, degraded, or broken.

### KYE™ Reconfirmation Flow™

Pause admission and route degraded meaning back to the principal or owner.

7 · Try it

## KYE™ Continuity Lab™ on Hugging Face.

Pick a scenario. Edit the original and interpreted intent. Toggle the drift signals. The Lab returns a continuity score, the drift codes, and the recommended verdict — plus JSON you can download.

[Open the Lab on Hugging Face →](https://huggingface.co/spaces/KYE-Protocol/meaning-continuity-lab) [KYE-Protocol on Hugging Face](https://huggingface.co/KYE-Protocol)

8 · Open / paid boundary

## Contracts are open. Engines are paid.

The schemas, reason codes, and validators ship Apache 2.0. The managed Continuity Engine and Drift Monitor are the paid surface, billed by decision volume for buyers under ISO 42001 and EU AI Act audit.

[Request the procurement pack →](https://kyeprotocol.com/engage/#procurement-pack) [Continuity overview](https://kyeprotocol.com/continuity/) [Action Admissibility™](https://kyeprotocol.com/action-admissibility/)

## Ready to see your AI agents flagged?

Start in shadow mode. We’ll deliver your first Evidence Pack™ in 4–8 weeks.

[Apply for pilot →](https://kyeprotocol.com/pilot-apply/) [Try the sandbox →](https://kyeprotocol.com/sandbox/demos/)

Canonical KYE™ surfaces referenced on this page: [Evidence Pack™](https://kyeprotocol.com/evidence-pack/) · [KYE Protocol™](https://kyeprotocol.com/).
