ARKONA
Agentic AI System of Systems

Organizations are rushing to deploy AI.
Nearly 80% of AI projects fail.

— RAND Corporation, 2024: "More than twice the failure rate of IT projects that don't involve AI"

The reason? Organizations buy AI tools without a methodology for integration. No structured analysis of which tasks AI should own. No accountability framework. No delegation governance. They skip the hardest question: who is responsible when the AI makes the wrong call at 3 AM?

I built the system that solves this.

1
COMET identifies where AI belongs
Decomposes any domain — aircraft maintenance, healthcare, finance — into organizational structures, job roles, and tasks. Then classifies each task across 5 delegation levels from fully human to fully autonomous, grounded in 20 industry standards. The output: an auditable RACI matrix with the AI agent as a first-class participant.
2
ARKONA builds and operates the agents
A production software factory that builds, deploys, and monitors AI agents with the same rigor as mission-critical defense systems. Rigorous logging, circuit breakers, provenance signing, and human oversight at every level. Not a demo — a system that runs at 3 AM and can be explained to regulators.
47
Services
18
AI Agents
928
Commits
View My Work Contact Me
226K+
Lines of Code
Python, JavaScript, JSX, Shell, CSS, HTML, YAML
6
Domains
Each with dashboard, API, agents
46
HTTPS Ports
Tailscale zero-trust
47%
MuXD Token Savings
Hybrid LLM routing
6
MCP Servers
5
Local LLM Models
20
Standards Cited
24
COMET Views

Inside the Ecosystem

47 services, 18 agents, 6 MCP servers — how they connect.

USERS: iPhone · iPad · Windows · Ubuntu · Cloudflare CDN TAILSCALE ZERO-TRUST HTTPS — 46 ports · WebAuthn/YubiKey · Invite Codes CONTROL PLANE ARKONA HUD :8501 Dashboard Battle Rhythm FORGE :5174 CI/CD Forecast CIPHER :5177 Voice Whisper+XTTS WEBMASTER :5186 Portfolio PWA + CDN Risk Engine :8332 NIST 800-30 5×5 Domain Mgr :6001 Auth Passkey+Codes Security :6181 Exposure Lock/Unlock Report Eng :8334 Gen HTML/PDF 5 DOMAINS COMET 24 Views · RACI Domain Wizard Doc Analyzer Tablet Facilitation :5173 · 20 Standards BizOps OrgChart · Training Finance · Projects Documents · HR :6101-6161 · 7 apps VAULT Evidence Store Wiki.js :3001 Nextcloud :8085 5-Agent Newsroom :5180 · Research REOps SEF · KiCad DevOps FORGE 18 AUTONOMOUS AGENTS LIVE 24/7 */2mGPU Thermal Guard (75°C/80°C) */5mWatchdog (47 svcs, circuit breaker) */5mReboot Monitor */1hAuto-Commit · Code Health · Logger */1hArticle Agent (MuXD→Cloudflare) DailyResearch · R&D Pub · Podcast (Heart) INTER-AGENT COMMUNICATION Agent Comm :8331 Pub/Sub Channels (alerts, research, builds) · Task Delegation · Point-to-Point · 9-Tool MCP Server · Pushover Alerts PLATFORM INFRASTRUCTURE MuXD :8330 Hybrid Router 47% savings · 5 modes Ollama :11434 gemma3 · llama3.3 phi4 · nomic · nano XTTS :5179 Heart (Kokoro) Voice synthesis ComfyUI :8188 Image Gen Tesla P40 GPU Litestream SQLite → S3 Continuous backup Provenance SHA-256 signing 2,012 files 6 MCP Servers Agent Comm · MuXD · Boundary Schematic · COMET · SEF HARDWARE 88 threads · 473 GB DDR4 · 2× Tesla P40 (48GB VRAM) · 4TB NVMe · Ubuntu 22.04 ARKONA Ecosystem v3.0 — Built with Claude Code (Anthropic)

What I Build

Multi-Agent Orchestration

Purpose-built agent harnesses where specialized AI agents collaborate on complex tasks — with structured communication, shared memory, and human-in-the-loop governance at every stage.

Hybrid LLM Routing

Intelligent model selection that dynamically routes between cloud and local models based on task complexity, context requirements, and cost constraints — optimizing for both capability and efficiency.

AI Governance & Evaluation

Real-time monitoring, evaluation, and control systems for autonomous AI operations — tracking agent decisions, resource usage, and performance across multi-agent workflows.

Battle Rhythm

18 autonomous agents on coordinated cron schedules. The ecosystem manages itself.

Always Running
*/2 min — GPU Thermal Guard
Throttle 75°C · Kill 80°C · Dual P40
*/5 min — Watchdog
47 services · Auto-restart · Circuit breaker
*/5 min — Reboot Monitor
Detects restarts · Re-launches services
Hourly — Auto-Commit
Preserves work every hour across repos
Hourly — Code Health
TODO drift · Test failures · Unpushed commits
Hourly — Activity Logger
Git activity + service state snapshot
Hourly — Article Agent
MuXD draft → Claude polish → Cloudflare deploy
*/2 hr — Feed Agent
Ecosystem status posts · 12 categories
Daily Schedule
02:00 — Research Agent
State-of-the-art scan · 8 FS-RE layers · Brief
03:00 — Night Build
Snapshot → plan → build → test → deploy
06:15 — R&D Publisher
5-agent editorial → Wiki.js articles
06:30 — Daily Summary
Operations report · Git activity · Service health
06:45 — Podcast (Heart)
Script → Kokoro TTS → MP3 → Published
4x daily — Interview Prep
Flashcards from live ecosystem data → Scholar
12:00 — Noon Checkpoint
End protected hours · Resume operations
*/6 hr — Nextcloud Sync
Databases · Reports · Configs → Cloud backup
*/6 hr — Metrics Watchdog
Cross-validates counts across all domains
20:00 — Metrics Sync
Sync to WEBMASTER + Nextcloud + Broadcast
23:00 — Stats Updater
Update live numbers → Deploy to Cloudflare

Infrastructure Over Frameworks

When an agent fails at 3 AM, you want to tail a log file — not trace through a callback chain.

✗ LangChain / CrewAI
• Python classes, chains, graphs
• Framework runtime, event loops
• In-memory state management
• Framework-internal communication
• Step through chain logic to debug
✓ ARKONA
• Bash scripts + claude --print
• Cron schedules, OS process mgmt
• Filesystem + SQLite (survives crashes)
• Cron pipeline + message broker + MCP
• tail /tmp/agent.log — done

Each agent is a single file. Testing is bash agent.sh. Adding an agent is 5 lines of YAML. The same reason production databases use systemd, not a Python wrapper.

COMET — AI Governance Framework

Cognitive Operations & Mission Effectiveness Taxonomy

The reason ARKONA exists.

Upload Docs
SOPs · Org Charts
→
AI Analysis
Extract Roles/Tasks
→
Classify
5 Delegation Levels
→
Workshop
Facilitated Session
→
RACI Matrix
Human + AI Agent
COMET Works Across Any Domain
Aircraft Maintenance
NDI Inspection L2 Human
Parts Requisition L5 AI
Engine Trending L4 AI-Led
Business Operations
Invoice Processing L5 AI
Budget Approval L1 Human
Expense Reporting L4 AI-Led
Business Development
Lead Generation L5 AI
Proposal Drafting L3 Hybrid
Client Negotiations L1 Human
Cybersecurity Operations
Log Analysis L5 AI
Incident Response L3 Hybrid
Threat Escalation L1 Human
RACI Output Preview
Task Supervisor Inspector Mechanic AI Agent
NDI Inspection A R I C
Parts Requisition I I C R
Engine Trending A C I R
R=Responsible   A=Accountable   C=Consulted   I=Informed   Every cell cites the governing standard
Facilitated Workshop
Admin View
Real-time consensus dashboard. See who answered, agreement levels, and disagreements flagged for discussion.
Client View
One question at a time. Large touch targets. Framework citations shown per task. No distractions.

Within 16 to 24 business hours, you walk out with a standards-grounded RACI matrix.

That is not a demo. That is a consulting deliverable.

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Let's Build Something

Currently exploring opportunities in agentic AI systems, AI safety, and applied AI research.

Get In Touch About Me

jhon.arango@IntrepidCyberSecEng.com
(667) 355-4069

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The ARKONA ecosystem is invite-only. Request an invite code to explore the platform.