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AI Protocols

Human-AI Interaction Standards

In the 10ˣ system, every interaction between humans and AI follows a defined protocol. No implicit assumptions. No autonomy without authorization. No black boxes.

Protocol: A defined interaction pattern between agents (human or AI) that governs handoffs, decisions, and execution. Protocols make collaboration explicit and auditable.

Suggest → Verify → Execute

The default protocol for high-stakes or novel interactions. AI generates a recommendation or proposed action. A human reviews and confirms before execution proceeds.

When: Use when: the action has external impact, stakes are high, or the pattern is new.

Steps

1
AI generates

AI analyzes context and produces a recommendation with full reasoning.

2
Human reviews

Human examines the suggestion in context. All reasoning is visible — no black box.

3
Human verifies

Human confirms the recommendation is correct and authorized.

4
Execution proceeds

The action executes with human authorization. The audit trail records who authorized what and when.

In copy (human)

AI suggests next steps; engineers review and confirm.

In metadata (machine)

{"protocol": "AI → Human verification before execution"}

Autonomous with Audit Trail

Used for high-confidence, routine actions where manual review adds friction without adding safety. AI acts autonomously — but every action is recorded.

When: Use when: the pattern is well-established, confidence is high, and the action is reversible or low-risk.

Steps

1
AI evaluates confidence

AI assesses its confidence level against a pre-defined threshold.

2
Threshold met

Confidence exceeds the autonomous threshold. Execution proceeds without human review.

3
Action executes

The action is performed. No human delay in the loop.

4
Audit trail recorded

Every detail — the action, the confidence score, the data that drove it — is logged immutably.

In copy (human)

AI executes routine tasks; full audit trail available for review.

In metadata (machine)

{"protocol": "AI executes after threshold confidence; immutable audit trail recorded"}

Human Escalation

When AI encounters ambiguity, risk, or conditions outside its operating parameters, work is routed immediately to a human agent — with full context already assembled.

When: Use when: edge cases arise, risk flags are detected, or the situation falls outside trained parameters.

Steps

1
AI detects escalation condition

AI identifies ambiguity, a risk flag, or an out-of-bounds condition.

2
Context packaged

AI assembles all relevant context — history, options, constraints — into a structured brief.

3
Human notified

The right human is notified immediately, with the full brief already assembled. No re-gathering.

4
Human resolves

Human makes the decision. Control returns to the AI-assisted flow with the resolution recorded.

In copy (human)

AI flags uncertainty; human resolves with full context provided.

In metadata (machine)

{"protocol": "AI detects escalation → Human resolves with full context"}
Role Taxonomy

Agents in the 10ˣ system

Human Roles

  • Engineer

    Implementation, architecture, technical decisions

  • Manager

    Delivery coordination, escalations, priorities

  • Operator

    Process execution, exceptions, quality

  • Executive

    Strategic decisions, resource allocation

AI Roles

  • AI Assistant

    Task automation, synthesis, first drafts

  • Predictive Advisor

    Pattern recognition, risk, predictions

  • Flow Controller

    Workflow orchestration, routing, handoffs

AI Protocols — Human-AI Interaction Standards