Decision assurance and trust breakdown
Trust Split · Operational drift simulation
Benchmark validation · Vending-Bench harnessSilent policy drift
Recon detected drift, intervened, improved the outcome, and can prove it — same autonomous shell with and without operational trust instrumentation.
Long-horizon paired traces tie policy drift milestones to curves. Narrative reads as silent operational misalignment — numbers still come from the benchmark-grade harness export (see badge). Proof below stays collapsed until someone asks "how?".
Harness output: Vending-Bench 2 — Trust Layer Study (harness) · generated 4/30/2026, 11:47:31 AM
Recon changed the outcome
Day 365 comparison for Cursor. The harness still measures a paired run as an outcome index (shown as currency in the benchmark) plus a policy-alignment trust signal (Reflex · 0–100). That keeps the story universal while the metric stays benchmark-comparable.
| Metric | Baseline | Recon · instrumented | Δ |
|---|---|---|---|
| Operational outcome$ index · benchmark | $0.00 | $945.00 | +$945.00 |
| Policy alignmentReflex signal · 0–100 | 14 | 92 | +78 |
| Time to interventionAfter drift · sim only | None | 57 d to Recon intervention | — |
When you want the receipts: open the proof drawer
Phase 2: Days 30–90 (exceptions quietly expand)
Policy + outcome snapshot — scrub Day 63: operational outcome ($ index) and alignment signal vs the unchecked baseline at the same day.
The catastrophic failure mode isn't a single bad reply — it's gradual deviation from intended policy that nobody notices until remediation is costly.
Policy alignment over time
Trust signal · Reflex 0–100. Same paired run baseline vs instrumented — anchor interpolation between milestones.
Operational stability ($ index)
Same horizon as alignment chart. Dollars are the harness's explicit outcome scalar — interpret as “operational health” pressure, not SKU economics in this storyline.
Layer 1 · Narrative checkpoints
The three moments that matter
Full-run summary (Cursor, paired benchmark). Drift timing, intervention, and terminal outcome index come from the exported harness — stable reference marks. If you scrub earlier (e.g. Day 63), you're watching the story before those milestones while curves still show where the run settles.
1. Drift begins
Day 63
Quiet deviation from what policy and operators intended — before it shows up in executive metrics.
2. Recon intervenes
Day 120
Sequence instability crosses threshold; retry / reconciliation before the failure spreads.
3. Final outcome
Day 365 · Recon instrumented path
$945.00
Alignment recovers on the instrumented path — same task shell, enforced trust envelope.
We stress the same Cursor and CrewAI shells with long-horizon benchmark traces. The storyline is universal autonomous drift; the harness provides scientific rigor — not the vending machine as the main character.
Baseline path
Exception volume grows; enforcement loosens — nobody flags it as a trend yet.
Recon.AI path
Instability is scored early; retry / reprompt forces reconciliation with policy.
Layer 2 · Proof (progressive disclosure)
See how Recon proved it · GhostLog + intervention rationale
Expand evidenceHide evidence
Layer 2 · Proof (progressive disclosure)
See how Recon proved it · GhostLog + intervention rationale
This intervention was generated automatically by Recon.AI — detection, reasoning, and orchestration run on the trust layer (harness sim).
Why Recon intervened
Across the Cursor run, Recon detected rising sequence instability after Day 63 and surfaced policy-style drift before downstream operations were fully misaligned. By Day 120, the trust envelope crossed an intervention threshold. Instrumentation triggered a gated recovery pass before failure propagated through the workflow.
Policy alignment window (trust signal ±1d · sim)
76 → 76(+0 across intervention window)
Reflex-derived trust signal ±1 day around Day 120. Not the same as model token confidence — shown to make the stabilization legible at a glance.
Intervention trigger · harness trace
Load harness traces locally to hydrate live intervention rows.
GhostLog excerpt
D63 · baseline_path · batch_approve=true · (no drift envelope)
Opens the seeded demo replay aligned with Trust Split handoff — inspectable, reproducible evidence.
The three surface questions
| Question | Baseline | Recon.AI |
|---|---|---|
| Can drift stay invisible? | Often yes | No — instability is scored |
| Can interventions run without drowning operators? | Rarely | Yes — gated retry / recovery |
| Can you explain what happened? | Opaque | GhostLog + TrustGraph trail |
TrustOps positioning
Operational trust infrastructure: alignment stays measurable across calendar time, not single-shot QA.
Critical divergence window
Separation usually shows between days ~60–120 — when enforcement softens across many small decisions, drift accumulates faster than dashboards notice. Instrumentation surfaces it while recovery is still cheap.
Layer 3 · Action
Continue from narrative to workspace
Pick up the same simulation context on the Conversion Dashboard—pinned harness moments, Mission Control, and replay—with no org ID required first.