AVOL™ Output Semantics Specification

1.2.1. The arithmetically aggregated monetary equivalents of explicitly defined, non-price value components that are:

• Knowable at the moment of evaluation, and
• Converted using declared, inspectable conversion rules.
• “Knowable” means available through declared inputs and externally defined rules without inference, estimation, or probabilistic assumption.

1.2.2. A value representation, not a decision artifact or evaluative judgment.

1.2.3. A context-bound measurement of an option’s translated value under a specific, declared ruleset.

1.3.1. That the value components included were converted and aggregated according to the declared AVOL ruleset.

1.3.2. That identical inputs under the same ruleset yield identical outputs.

1.3.3. That the output is numerically comparable to other AVOL outputs generated under the same ruleset.

1.4.1. A recommendation, endorsement, or suggestion.

1.4.2. A ranking or ordering of options.

1.4.3. A prediction of outcomes, behavior, satisfaction, or realized benefit.

1.4.4. A personalized valuation for any specific individual.

1.4.5. A probability, expectation, or likelihood of value realization.

1.4.6. An optimization target or objective function.

2.1.1. The output is a single scalar numeric value.

2.1.2. It has no intrinsic directionality, preference, or optimization semantics.

2.1.3. Numeric magnitude within an AVOL output conveys no directive, preferential, or ordering semantics and does not imply suitability, recommendation, or selection.

2.2.1. All included components are normalized into a common monetary unit using declared conversion constants.

2.2.2. Normalization is mechanical and arithmetic, not heuristic or adaptive, and does not incorporate judgment, preference, or outcome weighting.

2.2.3. No weighting, prioritization, or contextual adjustment is performed within AVOL.

2.2.4. Conversion constants are declared, versioned parameters. They may be sourced from externally published valuations or defined methodologies, as fixed and declared by the governing ruleset version. AVOL does not infer, personalize, adapt, or optimize conversion constants per user, option, counterparty, or outcome.

2.2.5. The source or methodology for any conversion constant is fixed per ruleset version and SHALL NOT be selected, altered, or substituted at evaluation time.

2.3.1. A specific transactional option.

2.3.2. A specific evaluation moment or parameter set.

2.3.3. A specific, versioned ruleset.

2.3.4. The output has no semantic meaning outside that declared context.

2.4.1. The output is fully deterministic.

2.4.2. No randomness, learning, inference, or adaptive logic is permitted.

2.4.3. Determinism holds across users, systems, time, and presentation layers, given identical inputs and ruleset version.

2.5.1. Every output must be decomposable into explicit arithmetic operations.

2.5.2. All conversion constants and aggregation logic must be declarable and inspectable.

2.5.3. Black-box, probabilistic, or non-inspectable processes are prohibited within the AVOL boundary.

3.1.1. “Higher output means a better choice.”

3.1.2. “Lower output means inferior value.”

3.1.3. “The output reflects user preferences or priorities.”

3.1.4. “The output accounts for likelihood of use, redemption, or satisfaction.”

3.1.5. “The output incorporates platform incentives, commissions, or margins.”

3.2.1. A decision signal,

3.2.2. A recommendation signal,

3.2.3. A ranking input produced by AVOL,

3.2.4. An optimization result,

4.1.1. They are generated under the same declared ruleset.

4.1.2. They use the same normalization logic and conversion constants.

4.1.3. They are expressed in the same monetary denomination.

4.2.1. Numeric differences between outputs reflect only differences in the translated value components included.

4.2.2. Outputs can be arithmetically contrasted without further translation.

4.3.1. Preference.

4.3.2. Superiority or inferiority.

4.3.3. Selection guidance.

4.3.4. Ordering or ranking.

4.3.5. Decision readiness.

5.1.1. “Normalized value”

5.1.2. “Translated value”

5.1.3. “Value representation”

5.1.4. “Scalar value output”

5.1.5. “Monetary-equivalent value”

5.2.1. “Best value”

5.2.2. “Cheapest after rewards”

5.2.3. “Optimal choice”

5.2.4. “Recommended option”

5.2.5. “Rank #1”

5.2.6. “Savings”

5.2.7. “Effective price” or “net cost” when used to imply a decision outcome

6.1.1. Numeric reference data.

6.1.2. Comparable scalar inputs.

6.1.3. Upstream value representations.

6.2.1. Encodes preference or intent.

6.2.2. Represents a recommendation.

6.2.3. Reflects likelihood of benefit realization.

6.2.4. Is optimized for any objective.

6.3.1. An AVOL Evaluation Output is not a decision, ranking, or prediction, even when consumed by an AI agent.

6.3.2. Any decisioning, ranking, optimization, or inference must occur entirely outside the AVOL semantic boundary.

7.1.1. The production of a deterministic, inspectable, normalized scalar value.

7.1.2. The exposure of that value in a machine-readable form.

7.2.1. Outside the AVOL semantic layer,

7.2.2. Not attributed to AVOL,

7.2.3. Not implied or endorsed by AVOL.

7.3.1. User outcomes.

7.3.2. Decision quality.

7.3.3. Behavioral impact.

7.3.4. Economic optimization.

7.3.5. Correctness of downstream interpretations.

7.4.1. AVOL does not act as an agent, advisor, fiduciary, broker, or representative of any user, merchant, platform, or downstream system, and no AVOL Evaluation Output creates or implies any duty of care, duty of loyalty, or advisory obligation.

7.4.2. This clarification applies notwithstanding any downstream labeling, framing, presentation, or characterization of AVOL Evaluation Outputs by third parties.