Add full-agency discovery exercise example

Demonstrates 8 agents (Product Trend Researcher, Backend Architect,
Brand Guardian, Growth Hacker, Support Responder, UX Researcher,
Project Shepherd, XR Interface Architect) deployed in parallel to
evaluate a software opportunity and produce a unified product plan.

Adds examples/ directory with README and the Nexus Spatial discovery
document. Links from the project README under a new Scenario 4 and
checks off the multi-agent workflow examples roadmap item.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

examples/README.md

@@ -0,0 +1,48 @@
+# 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](./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