Status: Proposed Date: August 17, 2025 Decision Makers: PM, Chief Architect, Chief of Staff Classification: Strategic Vision (Overarching ADR)
“Piper Morgan succeeds when Product Managers spend more time on strategic thinking and less time on mechanical work, while maintaining full control and understanding of their product decisions.” — Agent Charter v1.0, North Star Principle
Through the evolution of Piper Morgan from a GitHub ticket creator to an orchestrated intelligence platform, we’ve discovered something profound: Piper’s value isn’t just in what it does, but in what it demonstrates and enables.
The convergence of multiple architectural decisions has created an emergent opportunity:
Together, these create a platform that operates on three levels simultaneously:
We will position Piper Morgan as a Meta-Platform that not only assists with PM tasks but also demonstrates and enables the future of human-AI collaboration in product management.
What: Direct PM assistance through task automation and augmentation
User Request → Piper Processes → Work Completed
Examples:
Value: 30-50% reduction in mechanical PM work [Confidence: Medium - Based on early user feedback, awaiting systematic measurement]
What: Living proof of orchestrated AI patterns
Piper's Operation → Observable Patterns → Industry Learning
Examples:
Value: Reference implementation for agentic PM patterns
What: Platform for PMs to orchestrate their own agent teams
PM Defines Workflow → Piper Orchestrates Agents → PM Maintains Control
Examples:
Value: 10× productivity through PM-controlled orchestration [Confidence: Low - Theoretical projection, requires production validation]
┌─────────────────────────────────────────────────┐
│ Meta-Platform Layer │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │Practitioner│ │Demonstrator│ │ Enabler │ │
│ └─────┬─────┘ └─────┬─────┘ └─────┬─────┘ │
│ │ │ │ │
│ └──────────────┴──────────────┘ │
│ │ │
├───────────────────────┴──────────────────────────┤
│ Orchestration Engine │
│ │
│ ┌──────────────┐ ┌──────────────────────┐ │
│ │ Ambiguity │ │ Chain-of-Draft │ │
│ │ Assessment │ │ Compression │ │
│ └──────────────┘ └──────────────────────┘ │
│ │
│ ┌──────────────┐ ┌──────────────────────┐ │
│ │ Spatial │ │ Multi-Agent │ │
│ │ Intelligence │ │ Coordination │ │
│ └──────────────┘ └──────────────────────┘ │
│ │
├──────────────────────────────────────────────────┤
│ Foundation Layer │
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ MCP │ │ Wild │ │Attribution│ │
│ │Federation│ │ Claim │ │ First │ │
│ └──────────┘ └──────────┘ └──────────┘ │
│ │
└──────────────────────────────────────────────────┘
Human PM ←→ Piper ←→ Agent Teams
↑ ↓ ↑
└─────────┴─────────┘
Continuous Learning
For Individual PMs: “Reduce mechanical work by 50% while learning to orchestrate AI agents”
For PM Teams: “Standardize PM workflows while enabling customization through orchestration”
For Organizations: “10× PM productivity with transparent, auditable AI assistance”
For the Industry: “The reference implementation for agentic product management”
Per our Wild Claim Verification Protocol (ADR-015), all quantitative claims require empirical validation:
| Claim | Confidence | Source | Verification Plan |
|---|---|---|---|
| 30-50% mechanical work reduction | Medium | Early user feedback | Time study with 10+ PMs over 30 days |
| 10× productivity gain | Low | Theoretical projection | A/B test with control group |
| $60K annual value | Medium | Derived calculation | ROI study with 3+ organizations |
| 92% token reduction | High | Published research (CoD paper) | Validated in paper, confirm in production |
| $2,500→$125 cost reduction | Medium | Mathematical derivation | Measure actual API costs in production |
| 50% efficiency gain | Medium | Anecdotal observation | Systematic workflow analysis |
| <2 second response time | High | Current measurements | Continuous monitoring |
| 95% task completion accuracy | Medium | Limited testing | 30-day production metrics |
Note: Claims marked “Low” confidence should be communicated as aspirational targets. Claims marked “Medium” require disclaimer about preliminary nature. Only “High” confidence claims should be stated without qualification.
Description: Focus only on direct PM assistance Rejected Because: Misses opportunity for platform economics and industry leadership
Description: Only enable others, don’t practice ourselves Rejected Because: No credibility without eating our own dog food
Description: Custom implementations for each organization Rejected Because: Doesn’t scale, no network effects
This meta-ADR synthesizes all architectural decisions:
This vision emerged rather than was designed. Through building Piper Morgan to solve our own PM needs, we discovered patterns that benefit all PMs. The meta-platform concept captures this emergence: we’re not just building a tool, we’re pioneering how PMs and AI agents collaborate.
The economic transformation is profound:
As the Chief of Staff noted, this represents a “10-100× improvement opportunity”—not through incremental features but through fundamental reimagining of PM work.
The beauty is in the recursion: Piper helps us build Piper better, which helps PMs work better, which teaches Piper to help better. It’s an excellence flywheel at platform scale.