Issue № 04Agentic AI

Multi-Agent Audit

Three parallel AI agents that audit websites, product flows, and user experiences from multiple perspectives at once — with video evidence.

At a glance: Ethereal built a tool that reviews a website from three angles at once — design, marketing, and business — and records video of what it saw as proof for every point it makes. A website review that used to take a designer six hours now finishes in under four minutes.

Multi-Agent Audit — cover artwork04
Client
Ethereal — own product
Industry
MarTechUX audits · AI evaluation
Year
2025
Services
Agentic AIMulti-Agent OrchestrationAutomated CaptureReport Generation
6h → 4minaudit turnaround
3parallel specialist agents
100%findings backed by video
01

The Problem

Website and UX audits are historically slow, manual, and inconsistent. Reviewers click through pages, capture screenshots, and type repetitive reports — bottlenecked and subjective.

Speed

A thorough website audit ties up a human designer for six hours before findings land.

Consistency

The same site reviewed by different people yields different findings — no shared methodology.

Breadth

Most auditors specialize in one lens; nobody synthesizes UX, marketing, and business at once.

02

The Solution

We built a map-reduce pipeline with three specialized LLM agents — a UX reviewer, a marketing analyst, and a business analyst — running in parallel. A headless Playwright browser scrolls through the product and captures interaction video; the agents analyze the visual evidence independently, reach consensus on findings, and output a structured report.

System architecture
L1Layer

Capture

Playwright drives the live site and records video of every interaction and state.

L2Layer

Compress

The DOM, visuals, and interactions are distilled into a structured snapshot the models can reason over.

L3Layer

Fan-out

Three specialized agents — UX, marketing, and business — analyze the same evidence in parallel.

L4Core

Consensus Engine

The agents reconcile their findings into one report — the map-reduce reduce step, shared by every audit.

Audit pipeline
Browse + recordPlaywright video capture
Distill snapshotStructured extraction
Three parallel agentsGemini · UX · marketing · business
Reach consensusMap-reduce merge
Generate reportExecutive language
Latency budget
6h→4min

Human audit vs. agent turnaround

Map-reduce at scale

Large sites are clustered into representative pages and analyzed in parallel chunks, then merged.

What each agent sees
Live Video

Playwright records real interactions — hover states, scroll, motion — not just static screenshots.

UX Agent

One specialist judges layout, hierarchy, and whether the experience is clear and usable.

Marketing Agent

A second reads messaging, value proposition, and brand for whether the site actually persuades.

Business Agent

A third evaluates conversion paths, trust signals, and whether the funnel can close.

Consensus

Three perspectives reconcile into one set of ranked, actionable findings — not three siloed reports.

Visual Evidence

Every finding is grounded in captured video, so recommendations point to what the model actually saw.

03

The Outcome

Distributed LLM analysis at scale, with objective visual proof. Audits that took a human designer 6 hours complete in under 4 minutes with rich video evidence.

Built with

05 technologies
01GeminiThree parallel reasoning agents
02Map-reduce pipelineFan-out analysis · consensus merge
03PlaywrightLive video capture
04Node.jsOrchestration runtime
05Structured snapshotDOM + visual compression
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