Examples
This directory contains example outputs demonstrating how the agency's agents can be orchestrated together to tackle real-world tasks.
Why This Exists
The agency-agents repo defines dozens of specialized agents across engineering, design, marketing, product, support, spatial computing, and project management. But agent definitions alone don't show what happens when you deploy them all at once on a single mission.
These examples answer the question: "What does it actually look like when the full agency collaborates?"
Contents
nexus-spatial-discovery.md
What: A complete product discovery exercise where 8 agents worked in parallel to evaluate a software opportunity and produce a unified plan.
The scenario: Web research identified an opportunity at the intersection of AI agent orchestration and spatial computing. The entire agency was then deployed simultaneously to produce:
- Market validation and competitive analysis
- Technical architecture (8-service system design with full SQL schema)
- Brand strategy and visual identity
- Go-to-market and growth plan
- Customer support operations blueprint
- UX research plan with personas and journey maps
- 35-week project execution plan with 65 sprint tickets
- Spatial interface architecture specification
Agents used: | Agent | Role | |-------|------| | Product Trend Researcher | Market validation, competitive landscape | | Backend Architect | System architecture, data model, API design | | Brand Guardian | Positioning, visual identity, naming | | Growth Hacker | GTM strategy, pricing, launch plan | | Support Responder | Support tiers, onboarding, community | | UX Researcher | Personas, journey maps, design principles | | Project Shepherd | Phase plan, sprints, risk register | | XR Interface Architect | Spatial UI specification |
Key takeaway: All 8 agents ran in parallel and produced coherent, cross-referencing plans without coordination overhead. The output demonstrates the agency's ability to go from "find an opportunity" to "here's the full blueprint" in a single session.
Adding New Examples
If you run an interesting multi-agent exercise, consider adding it here. Good examples show:
- Multiple agents collaborating on a shared objective
- The breadth of the agency's capabilities
- Real-world applicability of the agent definitions