MG80 AI Solutions
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Live Demo · Multi-Agent Collaboration

One task, three agents, working at the same time.

Three very different businesses — a warehouse, a property manager, a builder. In each one, an orchestrator splits the task, specialist agents work their own piece in parallel, and the results merge into one deliverable for you to approve. Pick a task and watch it happen.

Orchestrator — splits the task

Select a task above to begin.
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Merge — one deliverable, waiting for you

System log — all agents, interleaved

// pick a task to start…

What's real in this demo — and what changes in production

Real: the orchestration pattern — task decomposition, three agents genuinely executing concurrently in your browser (watch the interleaved log), independent data lookups, result merging, and the approval gate. All arithmetic — pallet counts, net owner payments, quote totals — is computed live, not hard-coded. And notice the pattern is identical across all three industries.

Simplified: each agent here follows a scripted plan so the mechanics stay visible. In a client deployment, each agent is a Claude instance with its own instructions and tools, the data sources are your real WMS, trust account or CRM, and the orchestrator also handles agents that fail, disagree, or hand work to each other.

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