Orchestration
A registry, a dispatch queue, a pipeline tracker, a session briefing, and operational runbooks. Wake up to a system that already knows the plan.
The problem
Without a system, you forget what you were working on. Tasks fall through cracks. You spend the first 10 minutes of every session figuring out where you left off. There's no queue, no priority, no staleness detection.
Most people track work in their heads, or in a notes app with no structure. That works for five items. It breaks at fifty. Orchestration is the structural fix: a set of files that hold state so your brain doesn't have to.
What gets encoded
Four core files wire the system together, plus operational runbooks that define pre-built agent sequences:
Operational runbooks
Pre-defined agent sequences for common scenarios. Each runbook specifies trigger, agents, phases, handoffs, quality gates, time caps, and escalation paths.
Real example
Here's an actual work item from Agent Prime's registry — a task for this landing site:
{
"id": "TSK-014",
"title": "Build landing site for open-source release",
"type": "task",
"status": "in_progress",
"goal": "Matter",
"parent": "PLN-009",
"assigned_to": "builder",
"created": "2026-03-08",
"updated": "2026-03-10",
"next_action": "Build layer pages"
}
Every item has a type, a status, a goal it serves, and a next action. The registry doesn't just track what exists — it tracks what happens next.
How to set it up
Start with registry.json — a JSON array of work items. Each item gets an ID, status, and goal. Add dispatch.md when you have enough items to need sequencing. The dashboard and briefing scripts are optional but powerful — they turn raw state into actionable summaries.
// registry.json — minimum viable item
{
"id": "TSK-001",
"title": "Describe the work in one line",
"type": "task", // task | project | thesis | backlog
"status": "backlog", // backlog | planning | in_progress | done
"goal": "Matter", // which life goal this serves
"next_action": "What happens next"
}
The key insight: track work items in structured data, not in your head. JSON is machine-readable, so agents can query it, scripts can generate dashboards from it, and nothing falls through the cracks.