Multi-Agent AI · Simulation

NovaCore

Demo · sample data · 2026

Four specialist AI agents, one shared marketing objective.

NovaCore is an interactive operations simulation where strategy, content, performance and social media agents manage a full workday against live campaign signals.

pepechura.com/demos/ai-agent-simulation

The demo uses sample data to communicate the product vision and interaction model.

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The challenge

Marketing strategy, content production, media buying and social publishing often live in separate tools. Handoffs slow down, the reasoning behind decisions disappears and live signals do not reach the whole team at the same speed.

An event-driven simulation brings four role-specific agents together around a shared objective, common context and a live KPI feedback loop. Visitors can follow every decision from the morning briefing to campaign launch and the final presentation.

The solution and approach

Key features

04 / 04

Multi-agent coordination

Coordination, content, performance and social agents divide work around one shared objective.

Live decision journey

A ten-stage workday makes meetings, alerts, ideation, publishing and outcomes visible.

KPI feedback loop

Traffic, cost, engagement and click-through rate respond live to each decision.

Explainable roles

Every agent’s responsibility and contribution stays understandable to non-technical visitors.

What this demo shows

The prototype shows that a complex agent architecture can be presented without turning into a black box. By pulling scattered expertise into one flow, it makes a good starting point for a product built around coordination, decision visibility and data-led optimisation.

specialist AI agents

connected work scenes

live campaign KPIs

Next step