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Toscan — AI Chief of Staff

Running 24/7

Toscan is my autonomous AI chief of staff — a system that runs 24/7 on dedicated infrastructure, orchestrating multiple AI agents to get real work done.

Built on OpenClaw with a 3-tier model system: Claude Opus for architecture and complex reasoning, Claude Sonnet for coding and research, and Claude Haiku for housekeeping tasks. All running on a Claude Max subscription at zero per-token cost.

Toscan manages an entire orchestra of specialized workflows: Deep Research (5 parallel workers + citation verification), Code Shipping (architect → coders → PR management), Content Pipeline (research → writing → image generation → publishing), and Security Audits (parallel repository scanning).

In a single afternoon, Toscan orchestrated 13 sub-agents simultaneously — shipping code, writing articles, generating images, and running security audits. Total extra cost: $0.

Tech Stack

Claude Opus 4.6Claude Sonnet 4Claude Haiku 4.5OpenClawPop!_OSTailscaleDocker

Key Features

  • 3-tier AI model orchestration (Opus/Sonnet/Haiku)
  • 13+ concurrent sub-agents in parallel
  • Deep Research Orchestra (46+ sources, citation-verified)
  • Code Shipping Orchestra (feature branches, PRs, reviews)
  • Content Pipeline Orchestra (research → write → images → publish)
  • Proactive monitoring (email, calendar, heartbeat checks)
  • Voice calls via Retell AI + Twilio
  • Multi-channel communication (Telegram, Discord)

Challenges

Building reliable autonomy required careful guardrails: agents work on feature branches (never push to main), all PRs require human approval, and a memory system maintains context across sessions. The compound effect is real — each new orchestra makes the whole system more productive.