Autonomous Agentic Company Kit

Complex business objectives often fail when AI agents lack structure, resulting in hallucinations or circular logic. This skill implements an eight-department autonomous company structure that decomposes goals into dependency-aware task graphs with mandatory QA gating.

What it does

• Multi-department orchestration coordinates execution across Executive, Strategy, Marketing, Sales, Finance, Operations, Engineering, and Quality departments.
• Dependency-aware scheduling builds a task graph to ensure prerequisites are met before downstream tasks begin.
• Independent QA gating validates every deliverable against specific acceptance criteria, contracts, and tool evidence.
• Automated error recovery handles task rejections by returning them to the owner for correction with a defined cap on attempts.
• Evidence-based reporting generates a final executive report from a persistent SQLite database, distinguishing between verified evidence and assumptions.

How it works

1. Initialize the project by providing a business goal using python run.py start --goal "...".
2. Review the graph as the Executive department decomposes the objective into tasks and dependencies.
3. Monitor execution via python run.py status or tasks as departments produce JSON deliverables in parallel.
4. Approve actions like running generated tests using the approvals and approve commands.
5. Analyze results in the FINAL_REPORT.md once all tasks are settled or failed.

Frameworks & tools

Built with Python and SQLite for state management. It integrates with OpenAI and Anthropic APIs for reasoning while enforcing local file system constraints within a dedicated workspace.

Why this beats prompting it yourself

Standard prompting lacks the structural integrity to prevent agents from claiming they performed real-world actions like sending emails. This skill enforces a strict department-based contract and an independent QA layer that treats model narrative as unverified until evidence is provided.

Use cases

• Product launch planning to coordinate market research, budget estimates, and engineering feasibility.
• Strategic business auditing to identify gaps in existing plans across multiple operational verticals.
• Technical project scaffolding where engineering plans must be validated against resource and finance constraints.

Known limitations

Does not support real-world integrations like CRM, email, or payment gateways. Generated test execution requires manual approval and should be run in a disposable container for security.