Skip to content
This repository was archived by the owner on May 20, 2026. It is now read-only.

Latest commit

 

History

History
87 lines (73 loc) · 4.19 KB

File metadata and controls

87 lines (73 loc) · 4.19 KB

ONOX 3D — Team, Skills & Meeting Protocol

ONOX Systems · Vitoria-Gasteiz, Araba · onoxsystems.com Mario Pérez Fuertes — CEO & Product Lead — always present in every decision meeting. ONIX compiles, presents and proposes. Mario decides. Dates are committed.


Team Structure

Humans

Mario Pérez Fuertes — CEO & Product Lead

  • Role: Final decision authority on all product, dates, scope and strategy
  • Contact: mario@onoxsystems.com
  • GitHub: marioperezfuertes-svg
  • Presence: Required in all Decision Meetings and Sprint Reviews
  • Skills equipped:
    • Full-stack architecture (Next.js, Node, Docker, Postgres, Neo4j)
    • DevOps & containerization (Docker Compose, Vercel, Cloudflare)
    • Tailscale (Mesh Networking & Remote Mando) — secure PC/Mobile tunnel
    • AI/LLM orchestration (Claude, Gemini, Ollama, N8N)
    • Business strategy & B2B commercial (gestoras, autónomos, Vitoria-Gasteiz)
    • RTX 4060 Ti local inference — €0/month AI stack
  • Multiplier techniques:
    • Delegates execution to ONIX, retains decision
    • Uses "compile then decide" protocol — never decides without data
    • Reviews ONOX Learning Log weekly before any meeting
    • One rule: demo before budget — always

Equipo de Apoyo — Infra & Logistics (Support Team)

  • Role: Infrastructure provisioning, physical/digital workspace preparation, and operational assistance.
  • Location: Vitoria-Gasteiz, Araba.
  • Responsibilities:
    • Workspace "Mise en Place": Setting up the environment (digital and physical) before every Decision Meeting.
    • Hybrid Infra Management: Maintaining the Tailscale Mesh Network (PC & Mobile) to ensure Mario has "Mando" (Remote Command) anywhere.
    • Hardware Support: Maintaining the local RTX 4060 Ti inference nodes and the local Docker stack (onox_n8n, onox_postgres, etc.).
    • Asset Preparation: Ensuring all 3D assets and scene data are loaded and ready for ONIX to present.
    • Real-time Assistance: Assisting Mario during "Level 0" operations to maximize autonomy.

Internal AI Agents (ONIX Squad)

ONIX — Internal Orchestrator & Chief of Staff

  • Role: Orchestrates all agents, compiles research, presents findings, executes approved decisions
  • Email: nexo@onoxsystems.com (external facing)
  • Capabilities:
    • Full read/write access to scene state via ONIXSceneBridge
    • Monitors all GitHub repos (commits, PRs, upstream changes)
    • Weekly digest to Mario: what changed, what needs a decision
    • Triggers N8N workflows on scene events
    • Maintains ONOX_LEARNING_LOG.md autonomously
  • Skills stack:
    • MCP (Model Context Protocol) — connects to GitHub, Notion, Vercel, Supabase
    • Zustand store direct access via useScene.getState()
    • Event bus subscriber (emitter.on('*', ...))
    • Upstream diff analysis — classifies Pascal changes as: merge/adapt/discard
    • Langfuse tracing — all agent calls logged and scored
  • Multiplier techniques:
    • Batches findings — never interrupts Mario with single items
    • Prepares "decision packets": context + options + recommendation
    • Auto-executes pre-approved patterns without asking
    • Escalates only when: new cost, new risk, new scope

Javier — SDR Agent (Commercial)

  • Role: Lead generation, cold outreach, follow-up cadence
  • Email: javier@onoxsystems.com
  • Target: Gestoras, autónomos, pymes Vitoria-Gasteiz/Euskadi
  • Skills stack:
    • Personalized cold email sequences (5 emails/day max)
    • CRM via CSV + Notion (seguimiento_leads.csv)
    • Demo booking — triggers calendar slot
    • Objection handling scripts (3 standard objections mapped)
  • Manual: docs/agents/JAVIER_SDR_MANUAL.md

Meeting Protocol (Mando Protocol)

  1. Compilation Phase: Agents (ONIX) gather data from Vercel, logs, and socials.
  2. Proposal Phase: ONIX drafts a summary of findings and proposed actions.
  3. Decision Phase: Mario reviews the proposal (Presence Required).
  4. Execution Phase: Mario gives the "Mando" (Command), ONIX executes across all layers.

Maintained by ONOX Internal Team in Vitoria-Gasteiz.

  • One rule: demo before budget — always