An AI team needs a shared goal and a way to resolve dependencies. The direction we are preparing for ConductLoop is straightforward: you build the team and direct the CEO agent; the CEO orchestrates the other agents. This guide explains that planned working model and proposes design criteria. It does not describe a feature you can enable in the current download.
What CEO means here
CEO is a coordination role inside the system. It receives the goal, organizes work and combines deliverables into something you can review. The name does not grant business authority or permission to make commitments on your behalf. Write down its scope: what it can decide, when it should ask you and what it must return. An instruction such as ‘improve the launch’ leaves many decisions implicit. ‘Prepare a launch proposal for this product and audience’ creates a more reviewable assignment.
The chain of responsibility
The proposed hierarchy has three levels. A person defines the goal, context and constraints. The CEO turns that assignment into tasks and coordinates dependencies. Team agents produce bounded deliverables. When two agents disagree, coordination should identify the disputed point, compare evidence and escalate when information is missing. A summary that hides contradictions may look polished while being less useful than a short account of what remains unknown.
A coordination example
Suppose you need to decide which documentation to prepare before releasing an app. One agent could examine user questions while another reviews existing documentation. Their outputs are independent until the CEO compares the gaps. A specific draft can then be assigned. Publishing remains a separate decision in this example. These role names are illustrative; they are not a claim that ConductLoop already includes a matching template or automated workflow.
When hierarchy helps
Try this model when work involves related deliverables, distinct specialties or decisions dependent on earlier results. Summarizing a short note may only need a single model interaction. Every additional agent adds instructions, context and review. Before expanding a team, identify the coordination problem a new role solves. If two roles receive the same material and return nearly identical outputs, consider combining them or changing their responsibilities.
How to assess the coordinator
Check whether the final deliverable answers the original assignment, preserves relevant sources and separates facts from assumptions. Track duplicated tasks and how often you have to repeat context. A useful evaluation combines output quality with supervision effort. More active agents or a longer response do not establish better performance. Keep a representative assignment and an accepted result to compare future iterations against the same expectations.
What ConductLoop is preparing
Hierarchical integration is in preparation and is not part of the current v1.2.0 download. The existing foundation includes Brain, Boardroom, MCP and local context. We are not announcing a release date or final behavior for permissions, templates or per-agent models here. For background, the pattern of a coordinator distributing work and synthesizing results appears in Anthropic’s Building effective agents. ConductLoop’s implementation details will be communicated when available.