FORWARD DEPLOYED ENGINEERING
We embed with your team, find the work that is eating it, and deliver a working result.
Obedience Corp is a forward deployed engineering company. You don’t adopt a new tool or change how you work. Your team reviews every change, and the result runs in your environment. If you don’t know where to start, finding the highest-leverage problem is where we begin.
THE ENGAGEMENT
A paid first phase. A delivered result. A defined end.
Most AI engagements sell you a discovery phase and a slide deck. This one embeds an engineer with your team and ends with a working result in your environment. If you already know which work is bleeding, we skip step one.
These systems have carried hundreds of repositories through real work: product launches for three startups, research, infrastructure, and this company’s own engineering.
Start the first phaseLonger embedded work is available once the first phase has proven the approach.
Embed and pick the target
A short paid first phase. We embed with your team, look at where the time actually goes, and commit to a defined result. That might be a Jira-to-GitHub pipeline, an internal research workflow, a spreadsheet process, or forms-heavy administrative work that keeps pulling your team away from higher-value work. You get the shortlist and our reasoning even if you stop here.
Deliver the result
We build it inside your environment, with verification gates, an audit trail, and human control points. Your team reviews every change, and nothing merges without your approval. Scope and price agreed in writing before any work starts.
A defined end
A checkpoint with a stop condition set up front. If it isn’t working, we say so and you stop. You keep the result, the source, and the findings either way. No lock-in, no platform to rent, and no tool your team now has to operate.
Also open to research partnerships and investment conversations.
WHY DELIVERY IS FAST
Festival
OPEN SOURCE · APACHE 2.0
The system behind every engagement.
Festival is the open-source workspace this company built to make AI agents dependable across long-running work. It keeps projects, plans, decisions, and verification in user-owned files alongside the work itself. It is the reason delivery is fast, and it stays our machinery, not something you have to adopt.
It works with the agents teams already use, including Claude Code, Codex, and any agent that can run shell commands.
Installed 850+ times since its first release, and the system this lab runs on every day.
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fest nextTASK READY- 01READ CONTEXTgoal / constraints / historyBOUND
- 02EXECUTE TASKone scoped unit of workRUN
- 03VERIFY ARTIFACTevidence against acceptanceGATE
- 04RECORD STATEfiles / decision / next taskDURABLE
MODEL-AGNOSTICFILES ON DISKRESUMABLE BY DESIGN
START A CONVERSATION
Tell us what you’re trying to make work.
Process automation, paid pilots, applied engineering, research partnerships, and investment are all good reasons to reach out. You do not need a polished brief. A sentence or two about the problem is enough to start.
FIELD NOTES
What we are learning in public.
Organized diffusion
Organized diffusion models execution. It turns ambiguous intent into an outcome with evidence by doing real work across agents, tools, context, workflows, and artifacts.
READ FIELD NOTE →I Ran a Manager-Worker Agent Team on Real Work. A Single Session Beats It.
I ran a manager-worker agent team on 67 real tasks. A single session would have done the work better. The failure modes are structural.
READ FIELD NOTE →Your Agent's Memory Should Be Files in Git, Not Rows in a Vendor's Database
Agent memory should be files in git, next to the work they describe, not rows in a vendor database.
READ FIELD NOTE →
THE LAB
Founder-led, technically deep, and built in the open.
Obedience Corp was founded by Lance Rogers, a software engineer with 11 years of experience building products and infrastructure. The lab grows out of sustained, hands-on work with agent systems, not a pitch deck or a one-off prototype.
The lab’s own engineering runs on the same automation we build for clients: named agents doing real work, shipping through the same review gates and audit trail. We run it before we sell it.