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Baseline. Deviation. Decision.

One engine reads any behaviour stream against a person's own history, detects the shape of the drift, and returns a single ranked action, without anyone having to ask.

The loop

Six moves, one engine.

01 · Detect

Read the signal

Baseline vector, deviation, routine entropy and trajectory, per person, per domain.

02 · Prioritise

Rank the risk

Who is drifting, how far, and how soon, as an ordered queue.

03 · Route

Choose the action

Cross-domain attribution finds the upstream cause, not just the symptom.

04 · Trigger

At the right moment

A scheduled, no-query loop surfaces the action while it still matters.

05 · Support

The smallest move

One next-best action, framed to reassure, never to shame.

06 · Return

Recognise the comeback

Re-engagement after a real gap is detected and reinforced.

Honest by design

Explainable, and calibration-ready.

Every output can name the signals, weights, thresholds and confidence behind it. ONNEXT is calibration-ready: as real outcomes accumulate, its estimates are calibrated against them, under a governance gate that prevents any claim from outrunning the evidence.

state: drifting · baseline_confidence: 0.62 · drift_phase: emerging · recommended_action: re_anchor · model_tier: rules · calibration_status: pending_evidence
ONNEXT is a rules-based, baseline-relative behavioural detection and early-warning engine. It surfaces signal, risk and a next-best action from behaviour data. ONNEXT does not predict outcomes with certainty, does not diagnose, and makes no medical or guaranteed-outcome claims. Australian English.