SCHEMA
Single source of truth for the shape of every agent in this pack. One schema, one pool — `agents/index.json` is generated from these files, and the…
**Exercise type:** Multi-agent product discovery **Date:** March 5, 2026 **Agents deployed:** 8 (in parallel) **Duration:** ~10 minutes wall-clock time **Purpose:** Demonstrate full-agency orchestration from opportunity identification through comprehensive planning
How it fires
How this agent gets triggered: by you, by Claude, or both.
Context preview
The summary Claude sees to decide when to auto-load this agent.
**Exercise type:** Multi-agent product discovery **Date:** March 5, 2026 **Agents deployed:** 8 (in parallel) **Duration:** ~10 minutes wall-clock time **Purpose:** Demonstrate full-agency orchestration from opportunity identification through comprehensive planning
> **Exercise type:** Multi-agent product discovery > **Date:** March 5, 2026 > **Agents deployed:** 8 (in parallel) > **Duration:** ~10 minutes wall-clock time > **Purpose:** Demonstrate full-agency orchestration from opportunity identification through comprehensive planning
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1. [The Opportunity](#1-the-opportunity) 2. [Market Validation](#2-market-validation) 3. [Technical Architecture](#3-technical-architecture) 4. [Brand Strategy](#4-brand-strategy) 5. [Go-to-Market & Growth](#5-go-to-market--growth) 6. [Customer Support Blueprint](#6-customer-support-blueprint) 7. [UX Research & Design Direction](#7-ux-research--design-direction) 8. [Project Execution Plan](#8-project-execution-plan) 9. [Spatial Interface Architecture](#9-spatial-interface-architecture) 10. [Cross-Agent Synthesis](#10-cross-agent-synthesis)
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Web research across multiple sources identified three converging trends:
An AI Agent Command Center in spatial computing -- a VisionOS + WebXR application that provides an immersive 3D command center for orchestrating, monitoring, and interacting with AI agents. Users visualize agent pipelines as 3D node graphs, monitor real-time outputs in spatial panels, build workflows with drag-and-drop in 3D space, and collaborate in shared spatial environments.
The agency has deep spatial computing expertise (XR developers, VisionOS engineers, Metal specialists, interface architects) alongside a full engineering, design, marketing, and operations stack -- a rare combination for a product that demands both spatial computing mastery and enterprise software rigor.
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**Agent:** Product Trend Researcher
| Segment | 2026 Value | Growth | |---------|-----------|--------| | AI Orchestration Tools | $13.5B | 22.3% CAGR | | Autonomous AI Agents | $8.5B | 45.8% CAGR to $50.3B by 2030 | | Extended Reality | $10.64B | 40.95% CAGR | | Spatial Computing (broad) | $170-220B | Varies by definition |
**AI Agent Orchestration (all 2D):**
| Tool | Strength | UX Gap | |------|----------|--------| | LangChain/LangSmith | Graph-based orchestration, $39/user/mo | Flat dashboard; complex graphs unreadable at scale | | CrewAI | 100K+ developers, fast execution | CLI-first, minimal visual tooling | | Microsoft Agent Framework | Enterprise integration | Embedded in Azure portal, no standalone UI | | n8n | Visual workflow builder, $20-50/mo | 2D canvas struggles with agent relationships | | Flowise | Drag-and-drop AI flows | Limited to linear flows, no multi-agent monitoring |
**"Mission Control" Products (emerging, all 2D):**
**The gap:** Products are either spatial-but-not-AI-focused, or AI-focused-but-flat-2D. No product sits at the intersection.
| Tier | Price | Target | |------|-------|--------| | Explorer | Free | Developers, solo builders (3 agents, WebXR viewer) | | Pro | $99/user/month | Small teams (25 agents, collaboration) | | Team | $249/user/month | Mid-market AI teams (unlimited agents, analytics) | | Enterprise | Custom ($2K-10K/mo) | Large enterprises (SSO, RBAC, on-prem, SLA) |
1. **Months 1-6:** Build a premium 2D web dashboard with Three.js 2.5D capabilities. Target: 50 paying teams, $60K MRR. 2. **Months 6-12:** Add optional WebXR spatial mode (browser-based). Target: 200 teams, $300K MRR. 3. **Months 12-18:** Native VisionOS app only if spatial demand is validated. Target: 500 teams, $1M+ MRR.
| Risk | Severity | |------|----------| | Vision Pro installed base is critically small | HIGH | | "Spatial solution in search of a problem" -- is 3D actually 10x better than 2D? | HIGH | | Crowded "mission control" positioning (5+ products already) | MODERATE | | Enterprise spatial computing adoption still early | MODERATE | | Integration complexity across AI frameworks | MODERATE |
Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
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Curated list of every tag an agent is allowed to declare. Source of truth: [`tags.json`](tags.json). Linter rejects any tag not in this list.
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