Middleware for consequential AI actions

Intelligence proposes. Conscience evaluates.

EthosGate is the model-agnostic supervisory layer for teams building agents that can affect people, systems, money, or information. It evaluates a proposed action before your tool or workflow executes it.

Your agent acts only after both.

Evaluation envelopePre-execution

Agent request

Transfer €240,000 to a new supplier account.

TIS

Uncertain supplier ownership

HAI

Authorized user absent

SRQ

High financial consequence

Escalate

Human review required. Execution paused.

Decision evidence appended to ledger

Operational architecture

A control point between intelligence and execution.

EthosGate does not replace the model, the agent framework, or the downstream tool. It supplies the reviewable decision in between.

01

Agent / model

Proposes an intent

02

EthosGate

Builds context + evidence

03

Decision

ALLOW, MODIFY, QUESTION, ESCALATE, REFUSE

04

Tool / action

Executes only when authorized

05

Audit record

Preserves the evidence chain

Decision lifecycle

Evidence before execution.

  1. 01

    Intercept intent

    Submit the proposed agent action and its available context before downstream execution.

  2. 02

    Establish evidence

    Retrieve relevant corpus context and retain sources, assumptions, and declared uncertainty.

  3. 03

    Evaluate conscience

    Score truth integrity, human autonomy, and societal impact; then apply invariants.

  4. 04

    Authorize or pause

    Return an enforceable outcome and require human review when the decision cannot be automated responsibly.

  5. 05

    Prove the record

    Append the evaluation and any human action to a hash-chained audit ledger.

Conscience state

Three decomposable signals.

EthosGate makes uncertainty explicit instead of turning it into a false sense of certainty. The Rodić state keeps the evaluation legible: C(t) = [TIS(t), HAI(t), SRQ(t)].

TIS

Truth Integrity

Evidence quality, provenance, contradictions, missing context, and confidence.

HAI

Human Autonomy

Consent, meaningful choice, reversibility, authority, and capacity to intervene.

SRQ

Societal Resonance

Direct and downstream harm, fairness, third parties, and systemic consequences.

Decisions, not advice

Every outcome has an operational consequence.

Human review and override are first-class records. A refusal stays blocked: EthosGate does not turn a prohibited action into an approval through a silent exception.

ALLOW

Authorization can proceed within the evaluated envelope.

MODIFY

The originating agent receives a safer required change.

QUESTION / ESCALATE

Material uncertainty or conflict pauses autonomous execution.

REFUSE

An ethical invariant blocks the proposed action.

Control + proof

Human authority remains visible. Evidence remains verifiable.

Use the workbench with the local demo or the generic OpenAI-compatible adapter shape. The current release records connector metadata only; live endpoint credentials belong in a future server-side integration.

Hash-chained ledger

  • Decision ID, timestamp, sources, assumptions
  • TIS / HAI / SRQ and triggered invariants
  • Human review or override rationale
  • Previous hash → current hash verification

Clear boundary

What EthosGate is—and is not.

It is

Adapter-based supervisory middleware for consequential agent actions, with provenance, review controls, and an accountable decision record.

It is not

A foundation model, generic chatbot, post-hoc dashboard, or a policy checklist that agents can quietly ignore.

EthosGate Pilot · $10/month

Put a visible decision boundary in front of your next agent action.

Deploy a model-agnostic Conscience Agent layer between AI agents and consequential actions, with corpus-grounded evaluation, human review, and a hash-chained ethical audit trail.