Engineering Blueprint
Corporate Structure for Agents
Build complex projects without token bloat or context loss—organize AI agents like a corporation where fresh workers instantly understand their role, status, and blockers through shared context docume
3 Files Included
SKILL.md
16 KB
README.md
5 KB
What problem does this solve?
Large projects require context persistence. Using a single agent leads to context rot, while using a full agent loop eats tokens. This skill sets up a corporate structure with context docs for agents to allow persistent context for large projects between agent sessions.
How does it work?
Main agent (the one users interact with) acts as CEO, spins up either workers or managers that spin up workers. Project state lives in a folder structure of worker context docs, so a fresh agent can read its doc, walk up the chain, and know exactly its scope and status. When agents hit a blocker they record it and push it to their manager, the blocker gets resolved and a fresh agent with same context continues.
What's the biggest win?
Get the benefits of agentic loops (structure, work parallelization, living context) without the loops.
What are the constraints?
Way overkill for small, distinct, specific tasks (small/medium); use for larger projects.
About This Blueprint
- Industry
- Computer Software