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Vantage - AI Agent Architect

Strategy-to-agent architecture workspace that turns planning inputs into initiatives, role-based agents, and relationship maps with export-ready structured output.

Why I built this

Teams can have strong strategy documents but still struggle to operationalize them into clear AI agent roles with ownership, wave planning, and handoffs. I built Vantage to bridge that gap: it converts strategy input into a workforce-style agent architecture that leaders and delivery teams can actually execute.

Tech stack

Next.jsn8nGeminiAI AgentsTypeScriptArchitecture Mapping

How I built it

Vantage is an AI Agent Architect workspace focused on moving from planning to implementation-ready structures. You start with strategic input, and the system produces initiatives, specialized agents, and explicit relationships (handoffs, triggers, oversight, and data-sharing links). The result is a structured architecture view that can be scanned visually and exported. The interface is built around architecture clarity: a workforce map by execution wave, agent catalogue cards with augments/tools, and a detail panel for deep inspection of selected agents. Under the hood, orchestration follows a multi-agent flow similar to production planning pipelines: extraction and initiative analysis feed specialist agent-generation steps, outputs are merged, then assembled for client consumption.

Product gallery

Strategy-to-agent planning views and generated architecture outputs. Click any image for a fullscreen preview.

Agent generation workflow

The planner pipeline parses strategy input, maps initiatives, runs specialist agents in parallel, then merges outputs into a structured architecture payload for the UI.

Workforce map

The workforce map visualizes initiative-to-agent relationships across delivery waves so teams can see handoffs, dependencies, and orchestration coverage at a glance.

Agent specification panel