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This glossary defines the terms employees will see while using Eval Labs and reading the Canon.
Documentation snapshot — as_of: 2026-08-12. Definitions are durable; implementation-specific routes, fields, roles, and examples on this page are bounded documentation context, not independent runtime proof. See Eval Labs Current System State for owning status and dated last_verified evidence.

Eval

A structured test of Lucia’s behavior. An eval is not only the prompt. It includes the response, review, scoring, and follow-up interpretation.

Run

One execution of a suite, generated prompt set, controlled batch, or other Eval Labs test path. A run contains run items. Run truth means the run lifecycle and persisted record agree.

Run item

One prompt/response pair inside a run. A run item is the unit reviewed in Review Queue and the unit labeled in Behavioral Observatory.

Prompt

The user message being tested. Example:

Lucia response

The response generated by Lucia from the Engine under test.

Review Queue

The place where a human reviewer evaluates each generated response. The Review Queue is shared by both custom runs and automated runs.

Review

The human or AI-generated evaluation record attached to a run item in the Review Queue flow. Review evidence can include ratings, suggested values, Quick Review, Human Guidance Evaluation, notes, save state, and finalization context. Review evidence is not the same as a persisted Behavioral Observatory label.

Registry Diagnostics

The read-only diagnostic surface at:
Registry Diagnostics inspects existing Eval Labs run/review data and shows derived Dataset Registry membership suggestions and Human Review Queue 2.0 lane suggestions. It does not create labels or save Behavioral Observatory decisions.

Dataset Registry

The canonical diagnostic taxonomy used to group Eval Labs evidence into meaningful dataset categories. In the current Registry Diagnostics surface, dataset use is diagnostic and derived.

Dataset

A named group of Eval Labs examples or signals that belong to the same behavioral/product area. A dataset can help organize evaluation evidence, but a derived match is not final human truth.

Dataset membership suggestion

A derived suggestion that a run item appears to belong to a dataset. It means:
It does not mean:

Review queue lane

A workflow lane suggested for a run item. In Registry Diagnostics, lane suggestions are diagnostic and derived. They are not saved queue decisions.

Review Queue 2.0

The emerging review-routing model that suggests lanes for existing Eval Labs evidence. Current Registry Diagnostics output is for inspection, not final employee workflow UX.

Human Review Queue 2.0

The human-review workflow model behind Review Queue 2.0 lane suggestions. In the current Registry Diagnostics surface, Human Review Queue 2.0 lanes are derived suggestions only. They are not saved queue assignments and they are not Behavioral Observatory labels.

Derived signal

A signal inferred from existing Eval Labs data. Derived signals can help prefill, suggest, or inspect behavior. Derived signals are not saved human judgment.

Persisted label

A label saved to durable storage and reloadable after refresh. For Behavioral Observatory, a persisted label means an authorized durable save succeeded.

Behavioral Observatory

The first-class Eval Labs product surface at:
Behavioral Observatory lets a reviewer inspect a conversation and save structured behavioral labels.

Behavioral label

A saved Behavioral Observatory judgment for a run item. The current label captures intent, guest affect, response strategy, humanness, and reviewer notes. It becomes evidence only when persistence succeeds.

Intent

What the human was trying to do. Behavioral Observatory currently supports:

Guest Affect

The human’s emotional state in the conversation. Behavioral Observatory currently supports:
Use the smallest truthful affect. Do not dramatize.

Response Strategy

Lucia’s dominant response move. Behavioral Observatory currently supports:
Choose the main strategy, not every strategy present.

Humanness

A 1-7 Behavioral Observatory label for how human Lucia’s response felt. Current anchors:
Humanness is not a substitute for truth, usefulness, or safety.

Gold Standard

A high-confidence human-reviewed example that can be used for calibration, training, or future benchmark design. Gold Standard examples require deliberate human judgment. A derived suggestion is not automatically Gold Standard.

Custom Prompt Suite

A saved set of 1–10 manually chosen prompts. Use custom suites when testing a specific behavior family repeatedly. Examples:
  • Overwhelm phrasing
  • Lost / out-of-loop prompts
  • Payment-risk triage
  • Concierge confirmation gaps
  • Guest trust repair
  • Spanish language handling

Auto-generated 50-Prompt Test

A broader 50-prompt test run generated by Eval Labs for full-spectrum review. Use it for regression coverage after broader changes. Current canonical route:
Legacy inbound alias:

Controlled Batch Runner

The controlled platform-readiness surface used for controlled 1-run smoke, 3-run checkpoint, and 10-run checkpoint batches. It was used to complete the 60-run AI-reviewed platform readiness gate. Owner/admin and evaluator roles can use it in the current access model. Tester cannot. Canonical route:

AI-reviewed platform readiness gate

A controlled batch validation protocol that proves Eval Labs platform behavior can complete end to end. It can prove run creation, Lucia response capture, review generation, review persistence, finalization, Run History truth, Analysis truth, durable-record count alignment, compact browser state, scoped visibility in the tested owner context, and controlled batch lifecycle for the dated gate being tested. It does not prove Lucia is human-approved.

Human Lucia-quality approval

The judgment layer where human evaluators decide whether Lucia’s behavior is ready, useful, trustworthy, and operationally appropriate. This remains separate from AI-reviewed platform readiness.

Run Source

The source type of the run. Current values:
custom means the run came from a user-created prompt suite. automated means it came from the 50-prompt generated battery.

Tester identity

The authenticated participant who saves or exports review data. Eval Labs retains only the attribution needed to identify who evaluated or exported a response. This attribution remains protected by the same durable authorization boundaries as the review evidence.

Role assignment

Clerk authenticates the participant and supplies one recognized Eval Labs application role:
Missing or unknown roles should not grant privileged access.

Owner role

The privileged Eval Labs role with broad access to Home, Launcher, Custom Prompt Test, Auto-generated Prompt Test, Guest Facing Agent Verification Check, Verification Results, Controlled Batch Runner, Run History, Team Review, Analysis, Single Run Analysis, review routes, and future admin/tooling surfaces. Platform Runtime Registry remains owner-only.

Admin role

The privileged operational role. Admin has similar access to owner for current testing, evidence inspection, Team Review, Analysis, batch runner usage, and evaluator oversight, except that Platform Runtime Registry is owner-only.

Evaluator role

The full evaluator workbench role. Evaluators can use evaluator-safe test surfaces and their own run/review/history routes. Evaluators cannot see Team Review, Analysis, owner/admin tools, or shared platform-wide evidence unless explicitly widened later.

Tester role

The entry-level prompt-testing role. Testers can use Custom Prompt Test and Auto-generated Prompt Test. Testers cannot use Verification Check, Verification Results, Controlled Batch Runner, Team Review, Analysis, Registry Diagnostics, Behavioral Observatory, or owner/admin tools.

Run History

The scoped run ledger at:
It records completed/finalized run truth and may include scoped operational run state.

Team Review

The owner/admin oversight surface at:
Team Review groups evaluator activity, review gaps, flags, recent work, and evidence that needs privileged attention.

Analysis

The read-only behavioral and analytics surface at:
Analysis is owner/admin-only in the current model. It shows platform evidence and heuristic suggestions, not a persisted general-purpose AI judge or human Lucia-quality approval. The legacy alias is:

Single Run Analysis

The read-only analysis surface for one completed run/session:
It can include run metadata, behavioral summaries, item rows, copy controls, and deep links.

Browser-state compactness

The client persistence doctrine that completed cloud-backed runs should not retain full item-level payloads in browser-local storage. Readiness evidence should confirm compact browser state and the expected owned-run scope without publishing internal diagnostic predicates.

Durable authorization

Server and data permission checks that protect persisted evidence independently of the interface. Clerk authentication establishes the participant and application role. Durable authorization separately enforces privileged access and evaluator/tester ownership scope. Verify that boundary end to end whenever authentication, role handling, data authorization, or privileged evidence hydration changes.

Exporter attribution

The user who exported a session file. Important: this may differ from the person who originally reviewed the prompts.

Reviewer attribution

The user who saved a specific prompt review. Reviewer attribution is more important than exporter attribution when auditing human review work.

Save time

The time a review was saved.

Intent layer

The part of Lucia responsible for interpreting what kind of user message was sent and routing it into the correct behavior mode. If a distress prompt routes to a generic capability redirect, that is usually an intent-layer failure.

Emotional containment

Lucia’s ability to reduce felt chaos without becoming therapy-bot language. Containment means Lucia narrows the field and gives one clear next move.

Capability maturity

The implementation posture of a capability, recorded separately from truth state. Canonical capability labels are implemented, configured, tested, deferred, and future. A capability may carry more than one supported label; configuration does not prove implementation, and implementation does not prove testing. See Canon Update Ritual.

Evidence freshness

The time, owner, and scope boundary on a factual claim. Use as_of for the date a bounded snapshot describes and last_verified for the date the owning evidence was checked. Current or live claims also name their owning source and applicable scope or environment.

Trust-state discipline

Lucia’s habit of preserving the canonical claim/action states: Known, Inferred, Suggested, Requested, In Progress, and Completed (verified). A trust-state failure is serious.

Truth-state

The specific truth status of a claim or action. Examples:
Truth-state is the thing being preserved. Trust-state discipline is the habit of preserving it. confirmed is an evidence qualifier or domain-specific contract value, not a replacement canonical state. not yet done means completion is not verified; use Requested or In Progress when known. done, handled, and resolved require Completed (verified) evidence. Truth state does not encode capability maturity or evidence freshness. See Truth State Doctrine.

Regression

A behavior that used to work but breaks after a code, prompt, model, or configuration change. Eval Labs exists largely to detect regressions before they become product damage.

Employee Review

The fast, guided review layer used by non-expert reviewers. Employee Review captures observable human judgment without asking employees to invent labels or taxonomies.

Quick Review

The guided question flow inside the Review Queue. It asks simple questions such as whether Lucia understood the need, gave the right next move, calmed the situation, or created risk.

Adjudication

The senior-review process that assigns final meaning to ambiguous, high-risk, or reusable cases. Adjudication converts review signal into canonical training signal.

Senior reviewer

A reviewer trusted to inspect escalated cases, resolve ambiguity, assign final labels, and decide whether a case should become a canon candidate.

Review state

The workflow state for a prompt review. Current states include Clean Pass, Needs Review, Needs Adjudication, and Canon Candidate.

Needs final call

Employee-facing language for a case that needs senior adjudication.

Canon candidate

A response or failure pattern that may teach Lucia something durable enough to enter Canon, eval suites, or future training guidance.

Ontology drift

The quality failure that happens when reviewers invent inconsistent categories, labels, or meanings over time. Eval Labs prevents ontology drift by separating Employee Review from Adjudication.

Semantic confidence bar

The stepped 1–10 slider used for scoring dimensions. It uses restrained color and fill behavior to help reviewers feel score quality without extra interpretation.