SS
sift sentinel
overview validators trust model enter console →
SIFT SENTINEL  ·  GROUNDED FORENSIC REASONING
sift-sentinel · analysis run TEST-001
{{ ln.label }} {{ ln.text }} {{ ln.tail }}

A grounded forensic reasoning engine. Every finding is anchored to a specific, human-verifiable artifact — and factual hallucinations are caught by deterministic code, not by more AI.

open the evidence graph → github ↗
case TEST-001 loaded  ·  10 findings  ·  6 evidence sources  ·  1 fabrication eliminated
THE THESIS

Find less.
Fabricate nothing.

Sentinel deliberately trades recall for precision. It reports fewer findings than a naive agent, but every finding is real and verifiable. A report that finds less but invents nothing beats one that finds more but fabricates some of it.

A NAIVE AGENT
~maximises findings — including invented ones
~citations point at artifacts that may not exist
~hallucinations corrected by more AI, if at all
SIFT SENTINEL
every finding anchored to one verifiable artifact
five deterministic validators — zero AI in the loop
eliminated findings shown, not hidden — visible self-correction
sift sentinel · find evil! · grounded forensic reasoning engine agent v0.1.0 · trust through traceability
SS
sift sentinel evidence graph
CASE
{{ caseMeta.caseId }}
{{ caseMeta.findingCount }} findings · {{ caseMeta.sourceCount }} sources
{{ nav.label }} {{ nav.count }}
agent v{{ caseMeta.agentVersion }}
{{ caseMeta.toolExec }} tool executions
● integrity verified
{{ caseMeta.caseId }} / {{ viewCrumb }}
{{ viewTitle }}
analysis {{ caseMeta.startShort }} → {{ caseMeta.endShort }}
duration {{ caseMeta.duration }}