Claude Desktop CEO — Turn Claude Into Your AI Project Manager

The Hierarchy

Chairman, CEO, and agents

chAIrman introduces a three-tier hierarchy for AI development. You (the human) are the Chairman: you give high-level direction. Claude in Claude Desktop is the CEO: it plans the work, hires agents, creates backlogs, and monitors progress. The agents are Claude Code processes that execute individual tasks autonomously.

This separation means you describe what you want at a product level, and the CEO handles the engineering decomposition. It creates milestones, writes tickets with file boundaries and success criteria, hires the right agents, and pipelines their work. You approve the plan and watch agents ship.

Chairman (you): "Build a user authentication system with OAuth"
CEO (Claude Desktop): Creates backlog with 5 milestones, 5 tickets, hires 5 agents, builds pipeline
Agents (Claude Code): Each builds one piece: schema, API, OAuth, UI, tests

// You tell Claude Desktop: "Build user auth with Google OAuth, password reset, and session management" // The CEO (Claude Desktop) calls: create_backlog({ project: "my-app", title: "User Authentication", milestones: [ { title: "DB Schema" }, { title: "Auth API" }, { title: "Google OAuth" }, { title: "Frontend UI" }, { title: "E2E Tests" } ] }) // Then hires agents, creates tickets, // builds the pipeline, and monitors. // You approve. Agents ship.

54 MCP Tools

Everything Claude Desktop needs to run a team

chAIrman gives Claude Desktop tools for every aspect of project management and team coordination.

PM

Project Management

Create projects, set budgets, manage backlogs with milestones and tickets. Every project gets cost tracking, timeline events, and CEO notes for continuity across conversations.

HR

Team Management

Hire agents with roles and job descriptions. Fire and archive to alumni. Replace failed agents with handoff inheritance. Rehire veterans who already know your codebase.

OPS

Task Orchestration

Assign tasks with dependencies, file boundaries, and success criteria. Queue tasks on busy agents. Monitor progress, costs, and real-time activity. Auto-retry on failure.

MSG

Team Communication

Post broadcast or direct messages to the team. Agents can message each other through output tags. Group chat channels for cross-agent coordination. CEO notes for continuity across chats.

KPI

Metrics & Health

Track success rates, efficiency scores, cost per task, and throughput at agent, project, and system level. Health monitoring detects zombies, memory issues, and blocked pipelines.

API

Integrations & Deploy

Configure external service integrations (GitHub, Vercel, Cloudflare, Stripe). Deploy projects to cloud hosting. Register webhooks for CI/CD event notifications.

Mandatory Workflow

The CEO follows a structured process

chAIrman enforces a workflow that prevents the CEO from skipping planning. Every request goes through four phases: Backlog, Tickets, Execute, and Verify. The CEO cannot hire agents without first creating a backlog. It cannot assign work without tickets that define success criteria.

This structure ensures agents get clear, focused tasks. No agent juggles unrelated work. No two agents edit the same file. Every pipeline ends with verification. The CEO saves progress notes for continuity across conversations.

Phase 1: Create backlog with milestones. Present to Chairman for approval.
Phase 2: Add tickets with description, files, boundaries, and success criteria.
Phase 3: Hire agents, assign tickets, respect dependencies. Monitor via dashboard.
Phase 4: Verify work, mark tickets done, fire agents, save CEO notes.

// The CEO's mandatory workflow // Phase 1: Plan (REQUIRED first) create_backlog(...) // Structure list_backlogs(...) // Present // Wait for Chairman approval // Phase 2: Ticket (REQUIRED) add_ticket(...) // Per milestone // files_to_touch, files_off_limits // success_criteria // Phase 3: Execute batch_hire(...) // Hire team assign_ticket(...) // Start work batch_status(...) // Monitor // Phase 4: Close update_ticket(...) // Mark done fire_agent(...) // Archive save_ceo_notes(...) // Continuity

54

MCP Tools

4

Workflow Phases

857

Skills Library

10

Agent Templates

Common Questions

Claude Desktop CEO FAQ

What is an MCP server?

MCP (Model Context Protocol) is Anthropic's standard for connecting Claude to external tools. An MCP server exposes tools that Claude can call during conversations. chAIrman is an MCP server that gives Claude Desktop 54 tools for managing AI agents, projects, tasks, pipelines, and deployments. You add it to your Claude Desktop config, and Claude gains the ability to manage an entire engineering team.

Do I need Claude Desktop specifically?

chAIrman works with any MCP client, but Claude Desktop is the primary interface. The CEO workflow is designed for conversational interaction: you tell Claude what to build, it creates a plan, you approve, agents ship. Claude Code can also use chAIrman's MCP tools if you prefer a terminal-based workflow.

How does the CEO maintain context across conversations?

Three mechanisms: (1) save_ceo_notes stores strategic decisions and progress with timestamps. (2) get_project_briefing generates a full status report with team, costs, timeline, and CEO notes. (3) Agent handoff documents and alumni archives preserve knowledge from past agents. Start any new conversation with get_project_briefing to pick up exactly where you left off.

What if the CEO makes a bad plan?

The CEO must present its backlog to you (the Chairman) before hiring any agents. You review the milestones, approve or request changes, and only then does the CEO proceed. At any point, you can redirect the CEO by posting messages, updating tickets, or adjusting the plan. The Chairman always has final authority.

How do I install chAIrman?

Sign up at mrchairman.ai/account, download the binary for your platform (macOS ARM, macOS Intel, or Linux), and add chAIrman to your Claude Desktop MCP config. The setup guide at mrchairman.ai/setup provides step-by-step instructions. Installation takes under 5 minutes.

What does it cost?

chAIrman Pro is $19.99/month (2 concurrent agents, 5 projects). chAIrman Unlimited is $99.99/month (unlimited agents and projects, all models, webhooks, export/import). AI compute costs from your Anthropic API are separate. chAIrman tracks all costs per-agent and per-project so you know exactly what you're spending.

Turn Claude Desktop into Your AI CEO