Your AI Workforce, Automated End to End

Hire AI agents, assign tasks, track costs, and manage handoffs — exactly like running a real development team. chAIrman gives you a virtual workforce that ships code while you direct strategy.

Manage AI Like You Manage People

chAIrman mirrors real team management. You hire agents with roles and job descriptions, assign them focused tasks, monitor their output, and fire them when the job is done. The language is familiar because the workflow is proven.

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Hire Agents

Create agents with specific roles and detailed job descriptions. Choose the right AI model for the job — Sonnet for routine work, Opus for architecture decisions. Each agent gets full project context injected into its prompt automatically.

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Assign Tasks

Give each agent a single, well-defined task. Tasks are queued automatically when agents are busy, and dependency chains let you wire agents into sequential pipelines. No task falls through the cracks.

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Fire & Archive

When an agent finishes, fire it to free resources. Every fired agent is archived as an alumni with its full history — tasks completed, files changed, success rate, and cost. Rehire veterans when you need proven expertise again.

From One Agent to an Entire Department

Most AI tools give you a single conversation. chAIrman gives you an unlimited workforce. Hire a frontend lead, a backend engineer, a QA tester, and a documentation writer — all working in parallel on the same project, each with their own focused scope.

Batch operations let you hire, assign, and fire multiple agents in a single command. The real-time dashboard shows every agent's status, cost, and current task at a glance. When one agent finishes, its dependent agents automatically start their queued work.

  • Batch hire entire teams with one command
  • 10 pre-built role templates (frontend lead, QA, DevOps, and more)
  • Automatic dependency resolution across agent pipelines
  • File ownership prevents two agents from editing the same file
  • Kanban dashboard groups agents by status in real time
// Hire a full team in one call batch_hire({ project: "my-saas", agents: [ { role: "frontend-lead", job_description: "Build React dashboard" }, { role: "backend-lead", job_description: "Design REST API" }, { role: "qa-engineer", job_description: "Write E2E tests" }, { role: "devops", job_description: "Set up CI/CD" } ] }) // Each agent gets its own Claude Code process // with full project context, role prompt, and // skills auto-discovered from task keywords

Track Every Dollar Your AI Team Spends

AI without cost visibility is a liability. chAIrman tracks spending per agent, per task, and per project — with budget caps that prevent runaway costs before they happen.

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MCP Tools
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Per-Task Cost Tracking
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Metrics Scopes
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Role Templates
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Budget Enforcement

Set a USD budget per project. chAIrman checks the remaining balance before every task assignment. You get desktop notifications at 80% spend and a hard stop when the budget is exhausted. No surprise bills.

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Efficiency Scores

Every agent gets a 0-100 efficiency score based on success rate, cost per task, and utilization. Identify your top performers, spot underperforming agents, and optimize your hiring decisions with data — not gut feeling.

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Cost Trend Analysis

Track spending velocity over time at agent, project, and system level. Detect cost trends early — are you accelerating, stable, or decelerating? Get per-model breakdowns and optimization suggestions automatically.

Your AI Team Never Forgets

In a real company, losing a key employee means losing knowledge. chAIrman solves this with structured handoffs, alumni archives, and CEO notes. Every agent saves its progress every 60 seconds. When it finishes, its complete history is archived for future reference.

The alumni system is your bench of proven talent. When you need a frontend specialist again, rehire a veteran who already knows your codebase, your conventions, and your past decisions. Veterans start with context that fresh hires lack.

  • Auto-saved handoff docs every 60 seconds during work
  • Alumni archive with full task history and success rates
  • Rehire veterans with one command — they inherit past experience
  • CEO notes for cross-session strategic continuity
  • Project briefings aggregate team status, cost trends, and timeline
  • Message board for broadcasting decisions to all agents
// Check your alumni bench list_alumni({ project: "my-saas" }) // Result: // alumni-001 | frontend-lead | 8 tasks | 95% success | $4.20 // alumni-002 | qa-engineer | 5 tasks | 100% success | $1.80 // alumni-003 | backend-lead | 6 tasks | 83% success | $3.50 // Rehire a proven performer rehire_veteran({ project: "my-saas", archive_id: "alumni-001", role: "frontend-lead" }) // New agent inherits job description // + experience notes from past work

The AI Workforce Lifecycle

From planning to deployment, chAIrman enforces a structured workflow that keeps your AI team organized and accountable.

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Plan with Backlogs

Break your project into milestones and tickets before hiring anyone. Each ticket defines the task, which files to touch, which files are off-limits, and measurable success criteria. Planning prevents chaos.

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Hire & Assign

Hire agents matched to each ticket. Use role templates for common positions or write custom job descriptions. Assign tickets — not bare tasks — so agents receive structured context including file restrictions and success criteria.

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Monitor & Verify

Watch agents work in real time via the dashboard's live terminal view. Check batch status across your entire team. When agents finish, verify their output against ticket criteria before marking milestones complete.

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Auto-Retry on Failure

When an agent crashes, chAIrman automatically replaces it and re-assigns the same task — up to three retries by default. The replacement inherits handoff notes so no progress is lost. Eight error patterns are auto-detected for smart diagnostics.

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Git Auto-Commit

Every successful task completion is automatically committed to git with a descriptive message. Your project's commit history becomes a timeline of agent contributions — fully auditable, fully reversible.

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Archive & Learn

Fire completed agents to archive them as alumni. Save CEO notes for continuity. Use the feedback loop to capture corrections — they become skills that future agents inherit automatically. Your workforce gets smarter with every project.

Ready to orchestrate your AI workforce?

Join developers who ship faster with chAIrman. From $19.99/mo.