# Agent Expert Consensus - Strategic Roadmap Review

**Date:** November 17, 2025 | **All 7 Agents Reviewed** | **Status:** Ready for Decision

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## 📊 Executive Summary

All 7 specialized agents reviewed the strategic roadmap and related materials. The roadmap is **strategically sound but operationally needs refinement** before execution.

**Overall Verdict:** ✅ APPROVE with modifications (3 agents require changes, 4 approve as-is)

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## 🎯 Agent Verdicts (At a Glance)

| Agent               | Verdict            | Confidence   | Risk   | Key Issue                                   |
| ------------------- | ------------------ | ------------ | ------ | ------------------------------------------- |
| **Biomechanics**    | ✅ Approve + Mods  | HIGH (90%)   | MEDIUM | Running GCT accuracy (±30-50ms, not elite)  |
| **Computer Vision** | ⚠️ Revise          | MEDIUM (70%) | HIGH   | Latency target requires hybrid architecture |
| **Backend Dev**     | ⚠️ Refactor First  | HIGH (95%)   | MEDIUM | 🔴 Must extract abstractions before Task 3  |
| **QA/Testing**      | ✅ Approve         | HIGH (90%)   | LOW    | Week 1 latency baseline is go/no-go         |
| **Tech Writer**     | ✅ Approve         | HIGH (95%)   | LOW    | Docs critical for 30%+ adoption boost       |
| **ML/Data Science** | ⚠️ Extend Timeline | MEDIUM (75%) | HIGH   | 🔴 Running parameters undefined             |
| **DevOps/CI-CD**    | ⚠️ Invest Infra    | HIGH (90%)   | MEDIUM | 🔴 Infrastructure 3/10 for platform needs   |
| **PROJECT MANAGER** | ✅ COORDINATE      | HIGH         | MEDIUM | Manage 3 critical decisions, timeline       |

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## ✅ What All Agents Agreed On

### 1. **Strategic Direction is Sound**

- Market opportunity is real (22% CAGR, $6B → $36B by 2035)
- Roadmap priorities are correct (accuracy → real-time → multi-sport → ecosystem)
- 5-task breakdown is sensible and sequenced properly

### 2. **Accuracy is Credibility Blocker**

- **Task 1 (Ankle Fix):** Directionally correct, high priority
- **Biomechanics + Backend + QA:** All agree this must complete first
- **Decision:** Validate foot_index on 10 real videos before full deployment (2 hours)

### 3. **Real-Time is Market Differentiator**

- **All agents:** Real-time is critical competitive advantage
- **Market validated:** Motion-IQ, FormPro success prove demand
- **Timeline:** Achievable with proper architecture (Week 3-6)

### 4. **Running Gait Expands Market 10x**

- **Biomechanics + ML:** 25M+ runners in US, injury prevention focus
- **Feasibility:** Proven by competitors (Motion-IQ, Ochy)
- **Caveat:** Requires different parameters than jumping (not automatic port)

### 5. **APIs Enable Ecosystem Revenue**

- **Tech Writer + Backend:** Critical for partnerships and adoption
- **Timeline:** 2 weeks achievable (Week 2-3 parallel with other work)
- **Impact:** Unlocks coaching app, wearable, team management integrations

### 6. **Validation Study Essential**

- **Biomechanics + ML:** Required for coaching/medical partnerships
- **Timeline:** Month 3-4 (3-4 weeks conduct, 1-2 weeks write)
- **ROI:** Enables premium positioning, licensing revenue

### 7. **Timeline Extension Needed**

- **ML + CV + DevOps:** 6 weeks → 10-12 weeks with proper validation
- **Option:** Compress scope (defer multi-person, baseline running) for 6-week timeline
- **Recommendation:** Extend for credibility foundation

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## 🔴 Critical Issues Requiring Action

### ISSUE #1: Real-Time Latency Architecture ⚠️ **GO/NO-GO DECISION**

**Finding:** \<200ms latency NOT achievable with pure server-side MediaPipe

**Current Plan:** Server-side MediaPipe → 250-350ms latency ❌

**Revised Plan:** Hybrid architecture (recommended) ✅

- Client-side: TensorFlow.js via WebGL (browser-native)
- Server-side: MediaPipe (fallback for unsupported browsers)
- Result: \<150ms on modern browsers, \<250ms fallback

**Decision Point:** Week 1 of Task 3

- Build latency profiler (empirical measurement, not theoretical)
- Measure actual client vs server vs hybrid performance
- Go/no-go: Can we hit \<200ms on target browsers?

**Agent Consensus:** CV (must decide), QA (must test), Backend (architecture ready), DevOps (latency profiling)

**Action This Week:** Schedule latency testing decision meeting

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### ISSUE #2: Code Refactoring Blocker 🔴 **CRITICAL PATH**

**Finding:** Backend refactoring MUST complete before Task 3 starts

**Problem:** Current code duplication (2.96%) prevents clean extension to running gait

- 700 lines of duplicated logic between jump types
- Adding running without refactoring → 8%+ duplication → maintainability crisis

**Required Refactoring (5-6 days):**

1. Extract `MotionAnalyzer` base class (eliminates 700 lines duplication)
1. Extract `PhaseDetector` abstraction (generic for jump/running/other sports)
1. Extract `StreamingPoseProcessor` (80 lines)
1. Extract `MetricsCalculator` interface (100 lines)
1. Consolidate `api.py` (1150 → 450 lines)

**Benefit:** Net -170 lines, Duplication 2.96% → 2.5%, enables easy sport addition

**Timeline:** This week (Sprint 0 - before Task 1 starts)

**Agent Consensus:** Backend (HIGH priority), QA (supports testing), PM (blocks timeline)

**Action This Week:** Schedule refactoring sprint kickoff

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### ISSUE #3: Running Parameters Undefined 🔴 **EXECUTION GAP**

**Finding:** Running gait parameters fundamentally different from jumping (not auto-compatible)

**Problem:** Running requires tuning:

- Detection confidence: 0.70 (vs 0.5 for jumps)
- Tracking confidence: 0.65 (vs 0.5)
- Butterworth cutoff: 5 Hz (vs 8 Hz)
- Savgol window: 9 frames (vs 11)
- Velocity threshold: 0.05 m/s (vs 0.10)

**Gap:** If parameters wrong, running accuracy will be poor → credibility loss

**Required Work (Weeks 1-2):**

1. Define running quality presets with ML + Biomechanics
1. Create validation framework (ground-truth comparison)
1. Design benchmark dataset
1. 1-week prototype validation before full Task 4 sprint

**Impact:** ML assessment grade 7/10 due to this gap; could block running launch

**Timeline:** Weeks 1-2 (MUST complete before Week 5 Task 4 starts)

**Agent Consensus:** ML (CRITICAL), Biomechanics (validates), CV (confirms feasibility), QA (tests)

**Action This Week:** Schedule ML + Biomechanics parameter definition meeting

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### ISSUE #4: Infrastructure Investment Required 🔴 **BUDGET ITEM**

**Finding:** Current CI/CD adequate (8/10) but platform infrastructure missing (3/10)

**Required Infrastructure (Weeks 1-3):**

1. Dockerfile + Docker Compose (5-8 days)
1. GitHub Actions deployment pipeline (5-7 days)
1. Locust load testing framework (3-4 days)
1. Prometheus + Grafana monitoring (4-5 days)
1. AWS ECS staging environment

**Cost:** $100-200/mo staging, $500-1000/mo production (Year 1)

**Timeline:** MUST COMPLETE BY WEEK 3 (gates Task 3 start)

**Resource:** 60% FTE DevOps engineer, 6 weeks

**Agent Consensus:** DevOps (HIGH priority), Backend (supports), QA (enables testing), PM (resource planning)

**Action This Week:** Approve budget, assign DevOps engineer

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### ISSUE #5: Validation Study Not in Roadmap 🔴 **CREDIBILITY BLOCKER**

**Finding:** No validation study planned; experts say this is critical for partnerships

**Why Needed:**

- Coaches/medical professionals demand accuracy proof
- Competitors cite validation studies in marketing
- Partnerships require accuracy claims backed by research
- Liability protection for coaching recommendations

**Proposed Study (Month 3-4):**

- Compare Kinemotion metrics vs gold-standard (force plate or marker system)
- CMJ: GCT \<20ms MAE, ICC >0.90
- Running: GCT \<15ms MAE
- 4-6 page technical report + Bland-Altman plots
- Timeline: 3-4 weeks conduct, 1-2 weeks write
- Cost: ~$5-10K lab time (potential academic partnership)

**Impact:** Enables premium positioning, licensing revenue, partnership credibility

**Agent Consensus:** Biomechanics (CRITICAL), ML (validates), Tech Writer (documents), PM (plans)

**Action This Week:** Contact potential lab partners for Month 3-4 availability

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## 📈 Timeline Impact Summary

| Item                 | Original    | Adjusted                   | Impact                             |
| -------------------- | ----------- | -------------------------- | ---------------------------------- |
| Refactoring sprint   | N/A         | Week 0 (5-6 days)          | Unblocks Task 3                    |
| Parameter definition | N/A         | Weeks 1-2                  | Prevents running inaccuracy        |
| Infrastructure build | N/A         | Weeks 1-3                  | Unblocks real-time deployment      |
| Task 1 (Ankle fix)   | Week 1      | Week 1                     | No change                          |
| Task 2 (CMJ tests)   | Week 1-2    | Week 1-2                   | No change                          |
| Task 3 (Real-time)   | Week 3-6    | Week 3-6                   | Depends on latency decision Week 1 |
| Task 4 (Running)     | Week 5-7    | Week 5-7 (after param def) | Depends on parameter tuning        |
| Task 5 (APIs)        | Week 2-7    | Week 2-7                   | Parallel, no change                |
| Validation study     | N/A         | Month 3-4                  | New, post-MVP                      |
| **Total Timeline**   | **6 weeks** | **10-12 weeks**            | **+40-100% with full validation**  |

**Option:** Compress scope (defer multi-person detection, baseline running metrics) for 6-week timeline

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## 💡 Agent Recommendations Summary

### From Biomechanics Specialist

- ✅ Ankle fix is correct; validate foot_index visibility (2 hours)
- ✅ CMJ metrics validated (jump height ±2-3cm, flight time ±30ms)
- ⚠️ Running GCT: Accept recreational scope (±30-50ms), not elite
- 📍 Missing: Validation study for credibility (Month 3-4)
- 📍 Missing: Physiological bounds documentation for QA

**Action:** Run ankle fix validation tests before full deployment

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### From Computer Vision Engineer

- ⚠️ \<200ms latency requires hybrid architecture (not just server-side)
- ✅ MediaPipe is production-ready; no CV capability gaps
- ⚠️ Multi-person detection: Defer to Task 3B (post-MVP, 2 weeks work)
- ✅ Running gait technically feasible, depends on Task 1 foot_index validation
- 📍 Week 1 latency profiler is critical go/no-go decision

**Action:** Schedule latency baseline profiling Week 1 of Task 3

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### From Python Backend Developer

- 🔴 MUST refactor before Task 3 (extract abstractions, 5-6 days)
- ✅ WebSocket + FastAPI architecture is sound
- ✅ API design feasible; ecosystem-ready
- 📍 Phase detection abstraction essential for running/other sports
- 📍 Performance budget: MVP 5-10 concurrent → 100+ by Month 6

**Action:** Schedule refactoring sprint this week

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### From QA/Test Engineer

- ✅ Task 2 (CMJ 62%→80%): Achievable with 40-50 new tests
- ✅ Task 3 (\<200ms latency): Likely achievable (~166ms budget)
- ✅ Task 4 (Running no lab): Doable with 3-tier validation
- 📍 Week 1 latency baseline is go/no-go decision point
- 📍 Real-time testing framework needed (latency profiler, load testing)

**Action:** Build latency profiling and load testing infrastructure Week 1

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### From Technical Writer

- ✅ Task 5 (APIs) scope achievable with proper planning
- ✅ Documentation critical for 30%+ adoption boost
- 📍 Diátaxis alignment: Tutorials (coaches), Guides (developers), Reference (API)
- 📍 Scientific credibility documentation needed (validation papers, benchmarks)
- 📍 Developer experience critical for partnerships

**Action:** Start OpenAPI spec documentation Week 2

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### From ML/Data Scientist

- ⚠️ Running parameters must be defined IMMEDIATELY (not auto-compatible with jumps)
- ⚠️ Real-time latency NOT guaranteed without empirical profiling
- ⚠️ Validation strategy incomplete; no accuracy metrics published for CMJ
- 📍 Timeline impact: 6 weeks → 10-12 weeks with validation
- 📍 Parameter tuning critical for running accuracy (>40% accuracy variance)

**Action:** Define running presets this week with Biomechanics team

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### From DevOps/CI-CD Engineer

- 🔴 Infrastructure gaps critical (Dockerfile, deployment pipeline, monitoring)
- 📍 Must complete by Week 3 for Task 3 deployment
- 📍 AWS ECS Fargate recommended (simpler than Kubernetes)
- 📍 Latency validation critical Week 1 (go/no-go for architecture)
- 📍 Cost: $100-200/mo staging, $500-1000/mo production

**Action:** Approve infrastructure investment and assign DevOps lead

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## 🎯 Decision Points for Leadership

### Decision #1: Real-Time Architecture (Week 1)

**Options:**

- A) Pure server-side MediaPipe → 250-350ms latency (simpler, slower)
- B) Hybrid (client TensorFlow.js + server fallback) → \<150ms latency (better UX, 1 week extra)

**Recommendation:** Option B (hybrid) for \<200ms target

**Owner:** CV Engineer + DevOps
**Timeline:** Decide end of Week 1 based on latency profiler results

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### Decision #2: Timeline (This Week)

**Options:**

- A) 6-week timeline (compress scope: defer multi-person, basic running)
- B) 10-12 week timeline (full validation, credibility foundation)

**Recommendation:** Option B (extend timeline) for partnership credibility

**Owner:** Project Manager + Stakeholders
**Rationale:** Validation study unlocks licensing revenue; partnerships require proven accuracy

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### Decision #3: Running Scope (Weeks 1-2)

**Options:**

- A) Core 3 metrics only (GCT, cadence, landing pattern) - MVP
- B) Core + Advanced (add stride length, vertical oscillation) - premium

**Recommendation:** Option A (core only) for Month 2 launch; defer advanced to Phase 2

**Owner:** Biomechanics + ML
**Rationale:** Reduces complexity, still proves multi-sport platform capability

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## 📊 Confidence Levels

| Area                 | Confidence     | Why                                         | Risk Mitigation                          |
| -------------------- | -------------- | ------------------------------------------- | ---------------------------------------- |
| Market opportunity   | ⭐⭐⭐⭐⭐ 95% | Validated by competitors, market research   | Monitor market consolidation             |
| Strategic priorities | ⭐⭐⭐⭐⭐ 95% | All 7 agents agree direction                | Quarterly review                         |
| Task 1-2 execution   | ⭐⭐⭐⭐⭐ 95% | Well-scoped, low-risk, proven domain        | Standard project management              |
| Task 3 (real-time)   | ⭐⭐⭐ 70%     | Depends on latency profiling Week 1         | Early performance testing, hybrid backup |
| Task 4 (running)     | ⭐⭐⭐⭐ 80%   | Feasible but parameters need definition     | Parameter tuning sprint Weeks 1-2        |
| Task 5 (APIs)        | ⭐⭐⭐⭐⭐ 95% | Standard API documentation                  | Clear success criteria                   |
| 6-month timeline     | ⭐⭐⭐ 70%     | Tight with validation; 85% with 10-12 weeks | Prioritize based on revenue impact       |

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## 🚀 Next Steps This Week

### ✅ Before Friday

- [ ] Stakeholder review of this document + strategic summary
- [ ] Leadership decision on Decision Points 1-3
- [ ] Assign Task 1 owner (ankle fix)
- [ ] Assign Task 5 owner (API docs)
- [ ] Schedule refactoring sprint kickoff
- [ ] Assign DevOps engineer (60% FTE)
- [ ] Contact lab partners for Month 3-4 validation study

### 📋 Next Week (Week 1)

- [ ] Complete refactoring sprint
- [ ] Start Task 1 (ankle fix) + Task 2 (CMJ tests)
- [ ] Define running parameters (ML + Biomechanics)
- [ ] Build latency profiler (CV + DevOps)
- [ ] Start infrastructure build (Dockerfile, CI/CD)
- [ ] Start API documentation (OpenAPI spec)

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## 📞 Questions?

- **"What's actually changing?"** → [03-roadmap-adjustments.md](./03-roadmap-adjustments.md)
- **"What are the risks?"** → [risk-register.md](./risk-register.md)
- **"What decisions do we need?"** → [04-decision-points.md](./04-decision-points.md)
- **"When does each task start?"** → [timeline-roadmap.md](./timeline-roadmap.md)
- **"What's the full dependency graph?"** → [04-decision-points.md](./04-decision-points.md)

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**Status:** All agents reviewed. Consensus reached. Ready for leadership decision.

**Last Updated:** November 17, 2025
**Version:** 1.0
