proteusANALYTICS

Work Samples

This is what
the output looks like.

Three live demos showing the kind of analytics, dashboards, and AI quality instrumentation Proteus delivers. All data is simulated — the thinking behind it is real.

Interactive — explore each dashboard below

Demo 01

AI Quality Dashboard

What you'd see after an Analytics Implementation engagement — a living quality monitor for your LLM in production.

Service · Analytics Implementation

LLM Production Monitor

Real-time visibility into eval pass rates, hallucination categories, and response latency across a 90-day window. Built in Amplitude, replicated here as an interactive demo.

Live Interactive
Eval Pass Rate — ↑ +4.2 pp vs last month
Hallucination Rate — ↓ –1.8 pp vs last month
Median Latency — p50 across all calls
Eval Coverage — of user journeys tested

Eval Pass Rate — 90 Days

Failure Category Breakdown

Response Latency Distribution (ms)

Proteus Finding

Factual grounding failures spike on Tuesdays — correlating with a weekly data pipeline refresh. The model is being evaluated before the knowledge base has propagated. Fix: delay eval runs by 4 hours post-refresh. Estimated pass rate improvement: +3.1 pp.

Demo 02

Product Funnel Analysis

What a reliability audit can surface — where your funnel breaks, how severe each drop-off is, and what the data says to fix first.

Service · Product Data Reliability Audit

Onboarding Funnel · Drop-off Analysis

Funnel visualization with severity-coded drop-off rates and a 6-week retention cohort heatmap. This is what product teams get when they can finally trust their numbers.

Live Interactive

Conversion Funnel

Weekly Retention Cohorts

Proteus Finding

The "Create Profile" step has a 43% drop-off in this simulated example. Tracking analysis shows the event fires inconsistently on iOS Safari. This is a measurement bug, not a UX bug. Validating the event first helps the team avoid a redesign based on misleading evidence.

Demo 03

Illustrative Model Comparison

A live model comparison tool — the kind of structured eval framework Proteus builds as part of an AI Quality Audit.

Service · AI Quality Audit

Model Quality Scorecard

Side-by-side quality scoring across five dimensions for three LLMs evaluated against the same prompt suite. Select a model to highlight it in the radar chart.

Interactive · Simulated scores

Proteus Finding

Select a model to see the finding.

A clearer starting point

Which numbers are you
still second-guessing?

Bring the metric, funnel, or dashboard you’re unsure about. We’ll talk through what’s at stake and whether an audit is the right next step.

Book a Product Data Reliability Review

30-minute conversation · No preparation required

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