TIS
Truth Integrity
Evidence quality, provenance, contradictions, missing context, and confidence.
Middleware for consequential AI actions
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.
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.
Operational architecture
EthosGate does not replace the model, the agent framework, or the downstream tool. It supplies the reviewable decision in between.
01
Proposes an intent
02
Builds context + evidence
03
ALLOW, MODIFY, QUESTION, ESCALATE, REFUSE
04
Executes only when authorized
05
Preserves the evidence chain
Decision lifecycle
01
Submit the proposed agent action and its available context before downstream execution.
02
Retrieve relevant corpus context and retain sources, assumptions, and declared uncertainty.
03
Score truth integrity, human autonomy, and societal impact; then apply invariants.
04
Return an enforceable outcome and require human review when the decision cannot be automated responsibly.
05
Append the evaluation and any human action to a hash-chained audit ledger.
Conscience state
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
Evidence quality, provenance, contradictions, missing context, and confidence.
HAI
Consent, meaningful choice, reversibility, authority, and capacity to intervene.
SRQ
Direct and downstream harm, fairness, third parties, and systemic consequences.
Decisions, not advice
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.
Authorization can proceed within the evaluated envelope.
The originating agent receives a safer required change.
Material uncertainty or conflict pauses autonomous execution.
An ethical invariant blocks the proposed action.
Control + proof
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.
Clear boundary
Adapter-based supervisory middleware for consequential agent actions, with provenance, review controls, and an accountable decision record.
A foundation model, generic chatbot, post-hoc dashboard, or a policy checklist that agents can quietly ignore.
EthosGate Pilot · $10/month
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.