Your team has AI tools. They need a system.
Most teams get mediocre results from Claude because they skipped the architecture around the model. We set that up — the folder systems, context files, and workflows that make outputs reliable and specific. No custom software. No engineering team.
Production AI systems are 60% structure, 30% prompting, 10% model calls.
Most teams invest almost entirely in the 10% — writing better prompts — and get diminishing returns. The 90% underneath is what makes outputs reliable: the folder architecture that gives Claude context, the workspace routing that loads the right information for each task, and the conventions that make behavior predictable.
We teach teams to build and maintain that 90%. Not with code. Not with custom software. With folders, markdown files, and Claude Code — tools that work today, with the subscriptions they already have.
Half-day or full-day
team training.
Group training for teams of 4–20. Covers the core framework, folder architecture, and Claude Code in practice. Every participant leaves with a working CLAUDE.md file for their own project or role.
Pre-session AI audit
A short intake mapping how the team currently uses Claude, where the friction is, and what a working system looks like in your context.
The foundation framework
Why AI outputs are inconsistent, what the 60/30/10 architecture looks like in practice, and the three questions to ask about any AI tool.
Folder architecture + Claude Code
The three-layer routing system built live: CLAUDE.md, workspace context files, and task routing. Every participant sets one up for their own work during the session.
Written reference guide
A session-specific reference document each participant keeps: the framework, naming conventions, and a starting template for their own system.
One workflow.
Built and documented.
We build the folder architecture and CLAUDE.md system for one specific business context: client intake, content production, operations, research, proposals, reporting. Delivered as a working system, with handoff documentation.
Discovery session
A focused conversation mapping the workflow: what language-heavy tasks it contains, how pieces connect, and where AI can absorb work without adding risk.
Three-layer build
CLAUDE.md, workspace context files, naming conventions, and routing logic built for your specific work — not a generic template.
Handoff walkthrough
A 30-minute recorded walkthrough of the system. How to use it, how to update it, and how to expand it as the workflow evolves.
30-day edit window
One round of refinements after you have used the system in practice. Fixes what the first version got wrong based on actual use.
Full adoption.
Across a team or department.
For organizations that want AI adoption done properly. Workflow audit, architecture build, team training, and 30 days of refinement. Documented for internal handoff or ongoing use without a vendor dependency.
Workflow audit
A structured review of language-heavy work across the team or department. Separates tasks AI can absorb from tasks that require judgment, relationships, or institutional knowledge.
Architecture build
The full folder system built for the organization's context: multiple workspaces, routing tables, naming conventions, and workspace-specific context files.
Team training
Workshop-format training for the team. Everyone understands the system, knows how to use it, and knows how to update it when the work changes.
30-day refinement
Check-ins and adjustments over the first month of use. The system gets tuned to how the team actually works, not how we assumed it would.
No upsell to custom software. That's the point.
Tools you own
The system runs on Claude subscriptions, VS Code, and markdown files. No new platforms, no new vendors, no new monthly costs beyond what you already pay.
We use this ourselves
New Ark Digital runs on the same folder architecture we teach. Client work, proposals, internal operations — all of it. We are not teaching a framework we read about.
A system you can maintain
Everything is documented, transferable, and editable by anyone on your team. The goal is to not need us after the engagement ends.
Ready to stop getting generic outputs?
Most engagements begin with a 20–30 minute conversation. We figure out where the friction is, which offering fits, and whether it makes sense to move forward. No pitch, no prep required.