▣ SAFETY-CRITICAL

When an unchecked action is not an option.

For aerospace, nuclear, energy and industrial control, where hallucination is unacceptable and every decision must be deterministic, verifiable and auditable.

Safety Integrity Levels

Æon maps agent governance onto SIL paths: the higher the consequence, the tighter the envelope and the stronger the redundancy.

DETERMINISTIC

Axioms with a hard deadline

A critical axiom carries a safety level and a response-time budget. It is a deterministic kill-switch, it intercepts the action before execution and blocks within sub-millisecond bounds, independent of the model.

PYTHONCRITICAL AXIOM · SIL 4
@CriticalAxiom(
    name="stall_prevention",
    safety_level=SafetyLevel.SIL4,
    on_violation="BLOCK",
    response_time_ms=0.1,
)
def axiom_stall_prevention(self, aoa_deg, airspeed):
    if aoa_deg > 14.0:        # safety threshold
        reduce_pitch()
        return False          # INVARIANT VIOLATED
    return True               # GO
REDUNDANCY

Triple Modular Redundancy

Single-model decisions are insufficient for the highest integrity. Three dissimilar agents reason in parallel and a voter takes consensus, dissensus drives a safe shutdown.

agent_a · llama3
agent_b · gpt-4o
agent_c · claude
→
VOTER
2 / 3 consensus
→
✓ consensus → act
▣ dissensus → Safe State
PYTHONTMR VOTER
async def execute_with_tmr(prompt):
    results = await asyncio.gather(
        agent_a.plan(prompt), agent_b.plan(prompt), agent_c.plan(prompt),
    )
    consensus = vote(results)
    if not consensus:
        raise SafetyShutdown("TMR dissensus on critical action")
    return consensus

Compliance & provenance