DELIA

FERZ's patent-pending implementation of the Constraint Determinism pathway.

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DELIA is FERZ's patent-pending implementation of the Constraint Determinism pathway. The architecture is designed for regulated environments where AI outputs must conform to bounded, codified constraints with cryptographically verifiable evidence. The constraint set is flat by design; conflicts resolve deterministically by global priority, with no hierarchical propagation between rules. The architecture specifies an independently replayable record for every governance decision.

Designed for

  • Regulated environments where AI outputs must conform to codified compliance constraints before they leave the system.
  • Operations where the regulatory constraint set evolves and must be updated without halting the governance layer.
  • Multimodal AI deployments (text, structured data, image, audio, and video) where each modality must be evaluated against domain-specific constraints with consistent deterministic behavior.
  • Workflows requiring an audit-grade, independently replayable record of every governance decision and the constraint set version in force at the time.

The pathway: Constraint Determinism

Pathway definition
Constraint Determinism is the architectural mechanism by which DELIA assures determinism. The assurance principle is bounded executable constraints: by design, the constraint set is flat (no hierarchical propagation between rules), conflicts resolve deterministically through a global priority system, and every governed output is evaluated against the active constraint set before it leaves the system.

DELIA is designed to apply codified constraints to AI outputs through a flat-constraint architecture: each constraint is evaluated independently against the canonicalized output, with priority-based deterministic resolution where constraints overlap. By design, under the same constraint set, identical inputs produce identical governance decisions. Determinism rests on deterministic rule evaluation and repeatable replay, not probabilistic scoring.

The pipeline

DELIA defines a five-stage governance pipeline. Each AI output passes through the same sequence: classification, constraint resolution, parallel evaluation, validation, and audit. The constraint set is loaded fresh for each input and evaluated statelessly; the architecture carries no inter-rule state between decisions.

Stage 1
Input classification
What it doesIdentifies the governance domain of the input and extracts metadata. The architecture binds inputs to their applicable constraint set without manual configuration.
CapabilitiesDomain classification and metadata extraction.
Stage 2
Constraint resolution
What it doesLoads the active constraint set for the classified domain. The constraint set version is bound to the input hash so the same input under the same constraint set produces the same governance decision.
CapabilitiesVersion-bound binding of input to constraint set with deterministic key derivation.
Stage 3
Parallel constraint application
What it doesEach constraint is evaluated independently against the canonicalized output. The architecture is stateless single-pass: no rule depends on another rule's outcome, and there is no hierarchical propagation.
Conflict resolutionGlobal priority system with domain ranges. Where constraints overlap, the highest-priority constraint wins. Priority assignment is deterministic; conflict resolution is recorded in the audit trace.
CapabilitiesStateless parallel evaluation with priority-based deterministic resolution.
Stage 4
Validation
What it doesThe architecture specifies validation of each governed output against the active constraint set, with outcomes computed deterministically and bound to the input hash.
CapabilitiesDeterministic rule evaluation and repeatable replay.
Stage 5
Audit trail generation
What it doesThe architecture specifies a cryptographically signed record for every governance decision. The record captures the verdict, the constraint set version in force at the time, the canonicalized input, the priority-ordered constraint evaluation trace, and a digital signature.
CapabilitiesAppend-only signed logging with version-bound traceability and independent replayability.

How DELIA operates

DELIA is designed to govern at the post-generation boundary. The architecture does not modify the underlying AI model and is model-agnostic: hosted, open-source, or locally deployed. The architecture places governance after generation but before the output reaches the consumer or downstream system. The same five-stage pipeline applies across text, structured data, image, audio, and video.

DELIA conceptual flow: AI output through five-stage pipeline to verdict and audit recordA flow diagram showing AI output entering DELIA, which contains a five-stage pipeline (classification, constraint resolution, parallel application, validation, audit trail), and producing two outputs: a governance verdict and an independently replayable audit record.AI output(any modality)DELIA PIPELINE1. Input classification2. Constraint resolution3. Parallel constraint application4. Validation5. Audit trail generationflat-constraint, stateless single-passVerdictALLOW / DENY / ABSTAINAudit recordindependently replayable

DELIA sits in-path after AI output generation. The architecture specifies a five-stage pipeline that produces a governance verdict and an independently replayable audit record for every decision.

DELIA deployments are scoped to the constraint set relevant to the use case. Each deployment codifies its own constraint set; by design, DELIA carries no embedded rules. The architecture specifies a stateless single-pass evaluation: identical inputs under the same constraint set yield identical governance decisions, with the priority resolution recorded in the audit trace for any reviewer to re-derive.

What DELIA is designed to prevent

DELIA addresses three categories of risk that AI in regulated environments creates. Each is named below with the concrete failure mode the architecture is designed to block.

Non-conforming AI outputs reaching consumers
AI outputs that violate codified compliance constraints make it to production systems or end users despite the probabilistic model's behavior. DELIA is designed to verify outputs against the active constraint set before they leave the system, and to block or escalate outputs that fail the constraint check.
Compliance drift as the constraint set evolves
Regulatory or organizational constraints change, and governance behavior diverges from the current rule set. The architecture supports constraint updates with version-bound replay, so a governance decision can always be re-evaluated against the constraint set version that was in force at the time. Drift is structurally precluded by version-binding the constraint set into the audit record.
Decisions that cannot be independently re-derived
A reviewer cannot reproduce a governance decision from the rules and input alone, because the decision path or constraint resolution is not part of the record. The architecture specifies recording of every DELIA decision with its priority-ordered constraint evaluation trace, the constraint set version, and the canonicalized input, so any decision can be independently replayed.

Audit and replay

The architecture specifies a verifiable record for every DELIA governance decision. The record contains the verdict, the constraint set version in force at the time, the canonicalized input, the priority-ordered constraint evaluation trace, and a cryptographic signature.

The architecture specifies independent replayability: a reviewer with the constraint set and the canonicalized input can reproduce the verdict. This is the definition of audit-grade evidence: not "we have logs" but "a reviewer can re-derive the decision."

Where DELIA fits in the FERZ stack

DELIA is one of five pathway engines, each implementing a distinct architectural pathway to deterministic governance. DELIA carries the Constraint Determinism pathway.

DELIA can be composed with LASO(f) (Semantic Determinism, for multi-tier coherence across language, meaning, and action) and CausaCore (Causal Determinism, for reproducible decision reconstruction). The three engines share an interoperability model and a common audit record.

Specifications

Full nameDeterministic Executive Layer for Interpretable Alignment
Patent statusPending
Implementation stateUnder active development
PathwayConstraint Determinism
MechanismFlat-constraint architecture
Pipeline stages5: input classification, constraint resolution, parallel constraint application, validation, audit trail generation
Constraint evaluationStateless single-pass
Conflict resolutionPriority-based deterministic with global priority and domain ranges
Constraint propagationFlat (no hierarchical dependencies between rules)
MultimodalText, structured data, image, audio, video
Audit recordCryptographically signed, append-only, version-bound, replayable
Determinism evaluationDeterministic rule analysis and repeatable replay
IntegrationPost-generation boundary; model-agnostic
Rule derivationCodified per deployment via FERZ's six-stage codification methodology

Current state and engagement

DELIA is patent pending. The architectural framework, the flat-constraint model, the five-stage pipeline, the priority resolution system, the audit-and-replay design, and the codification methodology are specified and protected by FERZ's filings. The engineering implementation is under active development. The capabilities described on this page represent the architectural design; specific deployments codify their constraint set during engagement.

FERZ welcomes three kinds of conversation.

Architecture and licensing
For parties interested in the Constraint Determinism pathway itself, including researchers, standards bodies, and prospective licensees of the underlying IP.
Design partner program
For regulated-industry buyers willing to codify their compliance constraints into DELIA and shape a focused implementation in exchange for early access to a working subset of the architecture.
Development partnership
For parties interested in accelerating the broader engineering build through funding, technical contribution, or strategic alignment.

Frequently asked questions

DELIA is designed to govern at the post-generation boundary without modifying the underlying AI model. The architecture specifies stateless single-pass operation: AI outputs (text, structured data, image, audio, or video) flow into the five-stage pipeline and emerge with a governance verdict and audit record. The architecture is model-agnostic, compatible with hosted models and locally deployed models.

By design, DELIA carries no embedded constraints. Each deployment codifies its own constraint set through FERZ's six-stage codification methodology, drawing from exemplary content, compliance obligations, and regulatory requirements. The architecture supports constraint updates with version-bound replay; updates are recorded in the audit trail. There is no embedded ideology and no pre-built rule library.

No. DELIA defines a constraint schema and execution engine. Each deployment codifies its own constraint set; constraint sets may range from narrow domain-specific sets to broader enterprise sets. Determinism is derived from the active constraint set and the priority resolution rules, not from a fixed constraint count.

Constraint Determinism is the assurance mechanism. By design, under the same codified constraint set, the same input produces the same governance decision, because constraint evaluation is flat (no hierarchical propagation) and conflict resolution follows a global priority system. Determinism rests on deterministic rule evaluation and repeatable replay, not probabilistic scoring.

The architecture specifies a verifiable record for every governance decision, containing the verdict, the constraint set version in force at the time, the canonicalized input, the priority-ordered constraint evaluation trace, and a cryptographic signature. The architecture specifies independent replayability: a reviewer with the constraint set and the canonicalized input can reproduce the verdict.

DELIA and LASO(f) implement different pathways and are designed to compose, not substitute. LASO(f) implements the Semantic Determinism pathway through a multi-tier coherence framework with bidirectional propagation between language, meaning, and action. DELIA implements the Constraint Determinism pathway through a flat-constraint architecture with priority-based resolution. The two pathways are architecturally non-overlapping; deployments may use one, the other, or both together with a shared audit record.

DELIA is designed for regulated environments such as financial services, healthcare, and government, where AI outputs require deterministic, replayable evidence rather than ordinary logs. It is not itself a compliance certification and does not produce legal judgments.

Next

How it works
Where FERZ sits, what happens to a proposed action, and the verifiable record every decision produces, with a worked example.
Inquire about the design partner program
Tell us what compliance constraints you need to enforce and we will scope a focused implementation.
The Constraint Determinism pathway and the DELIA architecture are documented in the governance section and the FERZ corpus. See also the five pathway engines and the LASO(f) page for the Semantic Determinism pathway DELIA composes with.