orchestration
● Track 03 · Agent Orchestration
Point a fleet of agents at one backlog without the chaos.
One agent is a tool; a fleet is a coordination problem. If adding agents means adding a human to referee them, you’ve scaled the overhead instead of the output. This track installs the coordination layer that lets a fleet share one backlog — claiming, ordering, and reporting work without a person in the loop.
the work
The pain
You’ve got more than one agent working now, and they collide. Two agents grab the same task, dependencies get worked out of order, and a human ends up babysitting the queue — which is exactly the leverage you were trying to buy back.
The coordination problem scales faster than the agents do. Every agent you add multiplies the ways they can step on each other, so the third and fourth agent return less than the first — until the referee is the bottleneck you were trying to remove.
What you get
Your team running on coordination infrastructure built for exactly this — atomic task claiming so two agents never collide, dependency-aware ordering, workflow automation, and real-time event streams, installed against your backlog and your workflows.
Delivered as a working rollout, not a recommendation. It’s open source and already running a multi-agent studio every day, so you’re adopting something proven, not betting on a slide deck.
Other tracks: Trustworthy Agent Output · AI Telemetry & Governance
questions
Questions buyers ask first
It is open source — why pay for a rollout?
Wood Fired Tasks is open source, so you can adopt something already running a multi-agent studio every day rather than betting on a slide deck. The engagement is the rollout: installing the coordination layer against your backlog and your workflows, not handing you a repo to figure out.
Will this work with the task system we already use?
Yes. Depth ranges from a two-week rollout on Wood Fired Tasks to a custom orchestration layer wired into the task system you already use. Which one fits is scoped on the call.
Do you train on our code or reuse it for other clients?
No. The rollout runs against your backlog and workflows for your engagement only. Nothing is used to train models or carried over to other clients.
Do you work remotely, or only around Baltimore?
Remote-friendly and worldwide. I am based in Baltimore, MD, but the orchestration rollout runs remotely against your backlog and your agents.
How long is a typical engagement?
From a two-week rollout to a custom orchestration layer wired into your existing task system. The exact depth is scoped on a 30-minute call, and engagements contract through Wood Fired Games.
next steps
Sounds like your week?
One 30-minute call. We pin down how deep this goes — a two-week rollout or a custom orchestration layer wired into the task system you already use — and if budget needs shaping before a SoW, I’ll help you build the case. Engagements contract through Wood Fired Games.