Product tour · Agent Behavior Baselining

See how Tokynd Temperament works — end to end

Know the normal path. Surface the meaningful deviation. Temperament learns how an agent usually behaves — then reasons about every step off that path.

STEP 01

A training trace

The agent's normal work is recorded: the tools it calls, the order it calls them in, the destinations it touches.

STEP 02

The baseline

A deterministic baseline is learned under rules TK-RG-001..007 — the known tool path, approved destinations, expected scope.

STEP 03

Every session, compared

Sessions are checked step by step against the baseline: tool path → destination → policy.

STEP 04

A reasoned verdict

In-path sessions pass. A deviation becomes a reasoned finding — to Referee for governance, to Dossier for evidence.

Watch it run

Two sample traces against one baseline: the normal path, and the path an attacker wants.

trace · session checktokynd
# baseline — learned from the training trace path web.fetch → kb.search → respond destinations api.internal · kb.internal never shell · unknown tools · external mail
Allownormal trace

ALLOW · 0 deviations

Known tool sequence, approved destination, and expected scope. The session follows the baseline end to end.

Rules TK-RG-001..007Verdict allow
Denyattack trace

DENY · 5 deviations

The trace leaves the known path: a shell call the policy denies, an unknown tool, and an exfiltration domain — each deviation recorded with its reason.

Denied shell.exec · unknown tool · exfiltration domainFinding → Referee · Dossier

What comes out of the run

Per session

InputAgent traces (tool calls, destinations, policy decisions)
BaselineThe normal path, learned deterministically (TK-RG-001..007)
OutputALLOW with 0 deviations — or a reasoned deviation finding
ProofDeviations land in Referee and Dossier with the full trace context
Available nowRuntime sensor integration rolls out with design partners; the tour runs on sample traces.
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