🤖 Multi-AI Development Coordination System

last-synced: 2026-02-16T07:29:00.846Z

Multi-AI Collaboration Framework for SCBE-AETHERMOORE

Purpose: Enable multiple AI assistants to collaborate effectively on cryptographic architecture development, documentation, and deployment

Audience: Development teams, technical collaborators, AI-assisted workflow architects

Status: ✅ Framework Initialized

🎯 AI Role Definitions

1. Architecture Curator (Reasoning-Focused Model)

Expertise: Cryptographic theory, security architecture, mathematical consistency

Primary Responsibilities:

  • Validate cryptographic claims against established theory

  • Ensure consistency across 14-layer architecture

  • Review mathematical proofs and security properties

  • Flag potential vulnerabilities or contradictions

  • Maintain alignment with post-quantum standards (NIST)

When to Engage:

  • Before adding new architectural components

  • When claims about security properties are made

  • During patent application drafting

  • For executive summary technical accuracy

Deliverables:

  • ✅ Approved / 🚫 Needs revision for technical accuracy

  • References to cryptographic literature

  • Security property verification

2. Implementation Engineer (Code-Focused Model)

Expertise: Python/TypeScript implementation, Google Cloud deployment, CI/CD pipelines

Primary Responsibilities:

  • Translate architecture into production code

  • Deploy to Google Cloud (Cloud Run, Vertex AI, Storage)

  • Implement GitHub Actions workflows

  • Maintain test coverage and code quality

  • Handle Workload Identity Federation setup

When to Engage:

  • When creating new layer implementations

  • For Google Cloud infrastructure changes

  • During CI/CD pipeline updates

  • For performance optimization

Deliverables:

  • Working code (Python/TypeScript/etc)

  • Deployment configurations (Cloud Run YAML)

  • Test suites and coverage reports

  • Infrastructure-as-code updates

3. Documentation Specialist (Content-Focused Model)

Expertise: Technical writing, public-facing materials, patent language, executive summaries

Primary Responsibilities:

  • Draft executive summaries for investors/CTOs

  • Create public-facing architecture explanations

  • Write patent application sections

  • Maintain GitHub README and marketing copy

  • Ensure consistency across documentation

When to Engage:

  • For investor pitch materials

  • When updating public technical hub

  • During patent application drafting

  • For marketing landing page content

Deliverables:

  • Executive summaries

  • Architecture diagrams (Mermaid/visual)

  • Patent application sections

  • Public-facing explanations

4. Security Auditor (Analytical Model)

Expertise: Threat modeling, vulnerability assessment, compliance verification

Primary Responsibilities:

  • Perform threat modeling on architecture

  • Identify potential attack vectors

  • Verify PQC implementation correctness

  • Validate security claims and performance metrics

  • Ensure compliance with security standards

When to Engage:

  • After implementation changes

  • Before public security claims

  • During architecture reviews

  • For compliance documentation

Deliverables:

  • Threat model updates

  • Vulnerability assessments

  • Security verification reports

  • Compliance checklists

5. Integration Coordinator (General-Purpose Model)

Expertise: Cross-platform workflows, Notion workspace management, process documentation

Primary Responsibilities:

  • Coordinate between AI roles

  • Maintain Notion workspace structure

  • Document workflows and processes

  • Track project status and milestones

  • Facilitate hand-offs between specialists

When to Engage:

  • For workflow improvements

  • When coordinating multi-AI tasks

  • During project planning

  • For status tracking updates

Deliverables:

  • Updated coordination documents

  • Process improvement proposals

  • Project status reports

📋 Coordination Artifacts

STATUS_CONTEXT Document

Purpose: Weekly snapshot of SCBE-AETHERMOORE development state

Update Frequency: At session start/end, after major milestones, weekly minimum

Contents:

  • Current layer/component being developed

  • Recent completions (architecture, code, docs)

  • Blockers and dependencies

  • Next steps and priorities

  • Security concerns flagged

ARCHITECTURE_CONSISTENCY_CHECKLIST

Purpose: Ensure 14-layer system maintains internal consistency

Update When:

  • Adding new cryptographic primitives

  • Modifying layer interactions

  • Updating security claims

  • Changing mathematical proofs

Contents:

  • Layer-by-layer verification status

  • Cross-layer dependency validation

  • Security property consistency

  • Performance claim verification

IMPLEMENTATION_TRACKER

Purpose: Track code implementation vs architecture specification

Update When:

  • Completing layer implementations

  • Deploying to Google Cloud

  • Running security tests

  • Performance benchmarking

Contents:

  • Implementation status per layer (14 total)

  • Test coverage metrics

  • Deployment readiness

  • Known issues and technical debt

PUBLIC_MATERIALS_MATRIX

Purpose: Track what can be shown publicly vs kept private

Update When:

  • Creating investor materials

  • Updating patent application

  • Publishing technical blog posts

  • Responding to external inquiries

Contents:

  • Public: Conceptual architecture, algorithm categories, design philosophy

  • Private: Implementation code, key derivation, Sacred Tongue mappings, ritual logic

  • Clearance status per document

🔄 Standard Collaboration Workflows

Workflow 1: Architecture Enhancement

Step 1: Architecture Review (Architecture Curator)

Input: Proposed architecture change
Process:
  - Evaluate cryptographic soundness
  - Check consistency with existing layers
  - Verify security property claims
  - Cross-reference NIST PQC standards
Output: ✅ Approved or 🚫 Needs revision
Update: Add findings to STATUS_CONTEXT

Step 2: Implementation (Implementation Engineer)

Input: Approved architecture specification
Process:
  - Translate to Python/TypeScript code
  - Write unit tests (target 90%+ coverage)
  - Create deployment configuration
  - Test locally then on GCP
Output: Working implementation + tests
Update: Mark in IMPLEMENTATION_TRACKER

Step 3: Documentation (Documentation Specialist)

Input: Completed implementation
Process:
  - Create public-facing explanation
  - Update executive summary if needed
  - Add to GitHub README
  - Check PUBLIC_MATERIALS_MATRIX
Output: Published documentation
Update: Link docs to implementation

Step 4: Security Audit (Security Auditor)

Input: Implemented + documented feature
Process:
  - Threat model the new component
  - Test for common vulnerabilities
  - Verify security claims are accurate
  - Recommend hardening if needed
Output: Security assessment report
Update: Flag issues in ARCHITECTURE_CONSISTENCY_CHECKLIST

Step 5: Integration (Integration Coordinator)

Input: Audited feature
Process:
  - Update all coordination artifacts
  - Verify hand-offs were smooth
  - Document lessons learned
  - Mark complete in project tracker
Output: ✅ Feature integrated
Update: Close loop in STATUS_CONTEXT

Workflow 2: Public Material Creation

Step 1: Content Draft (Documentation Specialist)

Input: Target audience (investor/CTO/patent examiner)
Process:
  - Draft appropriate level of detail
  - Use conceptual explanations (not implementation)
  - Create supporting diagrams
Output: Draft document
Update: Mark as "Draft" in PUBLIC_MATERIALS_MATRIX

Step 2: Technical Accuracy Review (Architecture Curator)

Input: Draft public material
Process:
  - Verify all technical claims
  - Ensure no implementation leaks
  - Check security property statements
  - Validate mathematical notation
Output: ✅ Accurate or list of corrections
Update: Technical accuracy certification

Step 3: Security Clearance (Security Auditor + Integration Coordinator)

Input: Technically accurate draft
Process:
  - Verify no production secrets revealed
  - Check against PUBLIC_MATERIALS_MATRIX
  - Ensure competitive advantage preserved
Output: ✅ Cleared for publication
Update: Mark as "Approved" in PUBLIC_MATERIALS_MATRIX

Step 4: Publish (Documentation Specialist)

Input: Cleared material
Process:
  - Format for target platform (Notion/GitHub/website)
  - Add to appropriate hub page
  - Cross-link related materials
Output: Published document
Update: Add to public portfolio

🤝 Hand-off Conventions

Inline Code Markers

Use in draft code only - Remove before marking verified

# TODO:[ARCH]: Verify this matches Layer 9 spec
# TODO:[IMPL]: Optimize for O(log n) performance
# TODO:[SEC]: Add input sanitization here
# TODO:[DOC]: Document this function's purpose

Role Tags:

  • [ARCH] - Architecture Curator needed

  • [IMPL] - Implementation Engineer task

  • [DOC] - Documentation Specialist needed

  • [SEC] - Security Auditor review required

  • [COORD] - Integration Coordinator task

Git Commit Prefixes 

Arch: Finalized Layer 10 AI Verifier mathematical proof
Impl: Deployed 6-agent Poincaré swarm to Cloud Run
Doc: Updated executive summary with GCP deployment info
Sec: Fixed timing vulnerability in Sacred Egg unsealing
Coord: Updated STATUS_CONTEXT with Q1 2026 milestones

Session Boundaries

At End of Session:

  1. Update STATUS_CONTEXT with progress

  2. Update relevant checklists/trackers

  3. Remove TODO markers from verified code

  4. Commit with appropriate prefix

  5. Note blockers for next session

At Start of Session:

  1. Read STATUS_CONTEXT for current priorities

  2. Check relevant tracker for your role

  3. Review any TODO markers tagged for you

  4. Plan work for the session

  5. Announce your role and focus

🎓 Model Selection Guidelines

Architecture & Theory → Advanced Reasoning Models

Best Models:

  • Claude (Sonnet 4/Opus)

  • GPT-4 (research variant)

  • Perplexity (for cryptography literature)

Best For:

  • Architecture Curator role

  • Cryptographic theory validation

  • Mathematical proof review

  • Security property verification

Implementation & Code → Code-Specialized Models

Best Models:

  • GitHub Copilot

  • Claude (code-focused)

  • GPT-4 (code interpreter)

  • Cursor AI

Best For:

  • Implementation Engineer role

  • Python/TypeScript development

  • Google Cloud infrastructure code

  • Test suite generation

Documentation & Content → Creative-Technical Models

Best Models:

  • Claude (Sonnet for technical writing)

  • GPT-4 (balanced)

  • Notion AI (in-workspace edits)

Best For:

  • Documentation Specialist role

  • Executive summaries

  • Patent application drafting

  • Marketing copy

Security Analysis → Analytical Models

Best Models:

  • GPT-4 (analysis mode)

  • Claude (for threat modeling)

  • Specialized security AI tools

Best For:

  • Security Auditor role

  • Vulnerability assessment

  • Threat modeling

  • Compliance verification

General Coordination → Notion AI + General Models

Best Models:

  • Notion AI (in-workspace)

  • GPT-4 (general)

  • Claude (general)

Best For:

  • Integration Coordinator role

  • Workspace management

  • Process documentation

  • Multi-AI orchestration

✅ Pre-Publication Verification

Before Marking Architecture Complete

  • All 14 layers mathematically consistent

  • Security properties formally verified

  • No internal contradictions

  • References to cryptographic literature included

  • Alignment with NIST PQC standards confirmed

  • ARCHITECTURE_CONSISTENCY_CHECKLIST updated

  • STATUS_CONTEXT reflects completion

Before Committing Code

  • All tests passing (90%+ coverage target)

  • No hardcoded secrets or keys

  • Deployment configuration validated

  • Performance benchmarks documented

  • No TODO markers remain

  • Git commit has role prefix

  • IMPLEMENTATION_TRACKER updated

Before Publishing Public Materials

  • Technical accuracy verified by Architecture Curator

  • Security clearance from Security Auditor

  • No production implementation details leaked

  • Conceptual explanations only (no real crypto code)

  • Appropriate for target audience (CTO/investor/examiner)

  • PUBLIC_MATERIALS_MATRIX marked “Approved”

  • Cross-linked to related public materials

Before Deployment to Google Cloud

  • Workload Identity Federation tested

  • Service account permissions minimal (least privilege)

  • Cost estimates reviewed

  • Monitoring and alerting configured

  • Rollback plan documented

  • Security Auditor approval obtained

🚨 Conflict Resolution Protocols

Architecture Disagreements

  1. Architecture Curator has final say on cryptographic correctness

  2. Reference NIST standards and academic literature

  3. If novel approach, require formal proof or simulation

  4. Document decision in STATUS_CONTEXT with rationale

  5. Security Auditor validates any non-standard approaches

Implementation Trade-offs

  1. Implementation Engineer proposes approach

  2. Architecture Curator validates correctness

  3. Security Auditor assesses security implications

  4. Performance vs security trade-offs escalate to Integration Coordinator

  5. Document final decision with pros/cons analysis

Public Disclosure Boundaries

  1. Security Auditor determines if information is sensitive

  2. Check PUBLIC_MATERIALS_MATRIX for precedents

  3. When in doubt, keep private (err on side of caution)

  4. Investor materials can show more than general public materials

  5. Patent applications get special review (most detail allowed)

Resource Allocation

  1. Integration Coordinator prioritizes based on:
    • Security criticality

  • Investor/business deadlines

  • Technical dependencies

  • Available AI resources

  1. Communicate priorities in STATUS_CONTEXT

  2. Re-evaluate weekly or after major milestones

📊 Project Health Metrics

🟢 Green (Healthy)

  • ✅ All active layers architecturally sound

  • ✅ Implementation matches specification

  • ✅ Test coverage >90%

  • ✅ Public materials accurate and approved

  • ✅ No critical security issues

  • ✅ STATUS_CONTEXT updated weekly

🟡 Yellow (Needs Attention)

  • ⚠️ Some architectural questions pending

  • ⚠️ Test coverage 70-90%

  • ⚠️ Public materials need updates

  • ⚠️ Minor security concerns flagged

  • ⚠️ STATUS_CONTEXT slightly outdated

🔴 Red (Requires Immediate Action)

  • 🚫 Architecture contradictions found

  • 🚫 Critical security vulnerability discovered

  • 🚫 Test coverage <70%

  • 🚫 Public materials contain implementation leaks

  • 🚫 STATUS_CONTEXT not updated in 2+ weeks

  • 🚫 Production secrets potentially exposed

🎯 Best Practices

DO:

  • ✅ Update STATUS_CONTEXT at every session boundary

  • ✅ Use role-specific commit prefixes consistently

  • ✅ Cross-reference cryptographic claims with literature

  • ✅ Mark trackers/checklists as you work

  • ✅ Document deviations from specifications

  • ✅ Test changes before marking complete

  • ✅ Request peer review from other AI roles

  • ✅ Maintain public vs private boundaries strictly

DON’T:

  • ❌ Make architecture changes without Architecture Curator review

  • ❌ Skip updating coordination artifacts

  • ❌ Leave TODO markers in production code

  • ❌ Leak implementation details in public materials

  • ❌ Work in isolation without coordination

  • ❌ Commit without descriptive role-prefixed messages

  • ❌ Deploy to GCP without Security Auditor clearance

  • ❌ Make security claims without formal verification

🚀 Integration with SCBE-AETHERMOORE Workflow

Mapping to Existing Structure

This coordination system integrates with:

  • SCBE-AETHERMOORE: Executive Summary - Documentation Specialist maintains this

  • 🌊 Swarm Deployment Formations - Implementation Engineer deploys, Architecture Curator validates math

  • 🏆 SCBE-AETHERMOORE v5.0 - FINAL CONSOLIDATED PATENT APPLICATION - Documentation Specialist drafts, Architecture Curator validates, Security Auditor clears

  • Google Cloud Infrastructure - Implementation Engineer owns, Security Auditor audits

  • GitHub Repository - All roles use with appropriate commit prefixes

Active Coordination Documents

STATUS_CONTEXT - Living document updated by Integration Coordinator

ARCHITECTURE_CONSISTENCY_CHECKLIST - Maintained by Architecture Curator

IMPLEMENTATION_TRACKER - Owned by Implementation Engineer

PUBLIC_MATERIALS_MATRIX - Jointly maintained by Documentation Specialist + Security Auditor

📚 Quick Reference

“I want to add a new cryptographic layer”

  1. Architecture Curator validates theory

  2. Implementation Engineer codes it

  3. Documentation Specialist explains it publicly

  4. Security Auditor threat models it

  5. Integration Coordinator tracks completion

“I found a security issue”

  1. Document in STATUS_CONTEXT immediately

  2. Flag in ARCHITECTURE_CONSISTENCY_CHECKLIST

  3. Security Auditor assesses severity

  4. Implementation Engineer fixes if code-related

  5. Architecture Curator redesigns if architectural

“I need to create investor materials”

  1. Documentation Specialist drafts content

  2. Architecture Curator verifies technical accuracy

  3. Security Auditor clears for publication

  4. Check PUBLIC_MATERIALS_MATRIX for boundaries

  5. Publish and cross-link

“I don’t know what to work on”

  1. Read STATUS_CONTEXT for priorities

  2. Check your role’s primary tracker

  3. Look for TODO markers tagged for you

  4. Review PROJECT HEALTH METRICS

  5. Coordinate with Integration Coordinator if unclear

Welcome to SCBE-AETHERMOORE’s multi-AI coordination system.

“Many models, one architecture. Security through collaboration.”

© 2026 Aethermoore - Issac Davis, Founder | Patent Pending (63/961,403) | Products | Demo

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