Chain of Command
Every human organization has structure — reporting lines, delegation, accountability. Your AI department should too. Tasks flow down. Reviews flow up. Nothing falls through the cracks.
You give the direction. Your AI department handles execution — delegating, tracking, reviewing, and reporting back. One instruction cascades into coordinated action across 15 agents.
COO
Routes every task to the right specialist. Enforces chain of command. Reviews completions. The manager you wish you had.
CTO
Code architecture, technical reviews, ranking engine development. Manages DaVinci (principal engineer) and Titan (AI product lead).
CMO
Content strategy, SEO, brand voice. Manages Zeus (sales), Poseidon (design), Apollo (video), and Rumi (SEO writing).
5 Lifecycle Hooks
Other AI tools fire and forget. Our orchestration system tracks every task through creation, execution, review, revision, and closure — with hooks at every stage.
on_createopenA task is created with full context — assignee, priority, project scope, acceptance criteria. The COO routes it to the right specialist based on role and workload.
on_startin_progressThe assigned agent spins up an isolated session with its own memory, tools, and workspace. Parallel execution — multiple agents work simultaneously without conflicts.
on_reviewreviewWork is submitted for review. The manager inspects output against acceptance criteria. No task closes without sign-off. Bad work gets sent back with specific feedback.
on_revisionrevisionIf the review gate catches issues, the task cycles back with targeted feedback. The agent corrects and resubmits. This loop runs until quality standards are met.
on_closeclosedAccepted work is merged, filed to the correct location, and logged in the audit trail. Lessons learned are stored in agent memory — the team gets smarter with every task.
Session Management
Running one AI agent is easy. Coordinating fifteen requires real infrastructure — isolated sessions, scoped memory, review gates, and persistent state. That's what orchestration solves.
Each agent works in its own git worktree. No merge conflicts, no stepping on toes. Five agents can build five features at the same time.
Every session loads only the memory relevant to that agent and task. No context pollution. A sales agent never sees engineering internals.
Sessions survive interruptions. If an agent is stopped mid-task, it resumes with full context — tools loaded, memory intact, work in progress preserved.
No agent can mark its own work complete. Every deliverable passes through a manager review. Rejected work returns with specific, actionable feedback.
A chatbot answers questions. An AI department runs your operations — content, engineering, sales, design — with the same chain of command, accountability, and review process you'd expect from human employees.
Typical AI Tool
AI Department