If you've landed here, you're probably evaluating whether a Cowork rollout is worth bringing in someone for, or whether your ops team could just install it and figure it out themselves. Fair question. Here's what actually happens in 30 days when we work together. So you know exactly what you're buying and what the process looks like.

No theory, no feature tour. Day by day, stage by stage, what your team sees and what you walk out with at the end.


Before We Start: Who This Is For

This rollout is built for a 2 to 5 person ops team running a multi-location or multi-stack operation. You've got knowledge locked in one or two people's heads. SOPs scattered across Google Docs, Notion pages, and the inbox of whoever onboarded the team three years ago. A stack of tools that don't talk to each other, so somebody on your team is the manual integration layer between them.

You've heard about Claude Cowork and Skills. You can see the shape of the opportunity. You don't have time to be the one figuring it out from scratch, and you don't want a strategy doc that hands the build to someone else. You want one operator to scope it, design it, build it, and train your team on it. That's what this is.


Stage 1. Discovery. Days 1 to 5.

Most rollouts skip this stage and pay for it in week four. Here's what actually needs to happen before any skill gets written.

What we figure out together:

I'm running this discovery as a production manager and an engineer at the same time. Most consultants will hand you a strategy doc and tell you to find someone to build it. I'm scoping the actual deploy in parallel, so by day 6 the architecture spec is something we ship against, not something you have to translate.

Before Discovery

Workflows live in your head. Three people know the new-client SOP, two of them disagree on step 4. You've got a list of tools you're paying for and a vague sense that AI could help. You're not sure where to start.

After Stage 1

Architecture spec written. Skills, connectors, artifacts ranked in build order. Failure-mode map for the highest-risk workflows. Timeline anchored to your actual upcoming launches. Pilot workflow chosen with measurable success criteria.

What you walk out with at the end of Stage 1:


Stage 2. Architecture. Days 6 to 12.

This is the week the deploy actually gets decided. Skills are easy to write. They're hard to write well. The gap between a skill that works in a demo and one that survives month two costs more in token spend and team frustration than the engineering hour ever does.

What gets designed with you, not at you:

Once the schema, the failure modes, and the integration contracts are defined, the syntax writes fast. Most of the engineering value is in the design that happens before any code runs.

The Stage 2 insight most rollouts miss. The plugin marketplace is the package. The /customize step is where the ROI lives. A plugin installed and never tuned is a $0 ROI line item. Stage 2 is where every skill, artifact, and connector gets fit to your operation, not the demo version.

What you walk out with at the end of Stage 2:


Stage 3. Build, Pilot, Iterate. Days 13 to 23.

This is the longest stage and the one most rollouts collapse into a vendor handoff. We don't. The build, the pilot, and the iteration loop run in the same week, with your team using what gets shipped.

What gets shipped:

Most agencies hand off a strategy. Most engineers hand off code. I hand off a deploy your team is already using by the time the engagement ends. The training during the build is what makes the handoff stick. People learn the system by running it, not by reading about it after the fact.

5-10Production Skills Shipped
11Days of Build and Pilot
1Workflow Fully Validated

What you walk out with at the end of Stage 3:


Stage 4. Train, Handoff, Decide on Retainer. Days 24 to 30.

The last week is about making sure the deploy outlives the engagement. A system your team can't run without me is a failed handoff.

What happens:

What you walk out with at the end of Stage 4:


Why 30 Days Actually Works

The reason 30 days hits is the discovery-first sequence. Most rollouts skip Stage 1 and pay for it in Stage 4, when the team can't use a stack that was never designed around how they work. By the time we ship the first skill on day 13, we already know which workflow it serves, which person on your team triggers it, and what success looks like.

The reason you'd bring in a hybrid operator instead of a strategist or a coder is that the deploy and the team-using-the-deploy are the same conversation. A strategist hands off a doc and disappears. A coder hands off a system the team doesn't know how to use. A production manager who also engineers hands off a team that's already operating differently.

You can pay tuition by figuring this sequence out the hard way. Most teams do. You can also bring in someone who's already deployed it across multi-location operations. The receipts are in production rollouts, not on this page.


Ready to map what 30 days could look like for your team? Book a free 45-min ops mapping call. We'll audit your stack, find the bottlenecks, and show you what your Stage 1 would actually surface. cal.com/formaum/45

Run on a stack that's holding you back?

Book a 45-minute discovery call. I'll map what moves, what stays, and what makes sense for your operation.

Book a call

Frequently Asked Questions

What if my team is bigger than 5 people?
The structure stays the same. The scope adjusts and the timeline likely extends. A 10 to 15 person team usually means more workflows to surface in Stage 1, more skills in the Stage 3 build queue, and a longer training cycle in Stage 4. We scope it on the discovery call and tie the timeline to your team size, not a fixed template.
What if we already have some Skills written?
Stage 1 includes an audit of what you've already built. We sort the existing skills into keep, rewrite, or scrap. A skill that triggers reliably and gets used stays. A skill that bloats the trigger description or burns context gets restructured. A skill the team forgot exists gets retired. You don't pay to rebuild what already works.
What's the difference between this and just installing Cowork ourselves?
The install is roughly 5% of the value. The other 95% is in discovery, architecture, the /customize step on every plugin, the Live Artifact design, the failure-mode planning, and the team training. A self-install gets you the demo. The discovery, architecture, and tuning are what make it survive month two and actually return on the time invested.
What if our tools aren't on the standard MCP connector list?
Custom MCP server work gets scoped in Stage 2. We map what your stack needs, identify which integrations have official connectors, which have community ones worth using, and which need a custom build. Custom MCP servers ship inside Stage 3 alongside the rest of the build, so by day 23 your stack is wired end to end.
What does the maintenance retainer typically include?
Weekly skill-load audit to catch context bloat early. Monthly token-spend review against the Stage 3 baseline. Quarterly architecture pass to retire what isn't used and design what the team is asking for. New skill design as your operation evolves. /customize passes whenever Anthropic ships new plugins worth adopting. The cadence keeps the stack healthy instead of drifting.
GC
Genevieve Claire
Founder, Formaum — Claude Code Expert & Full-Stack AI Engineer

Builds bespoke AI automation systems for multi-location operations. Previously EA Sports FIFA ($7B franchise) and Film/TV VFX on Skyfall, Avengers, Game of Thrones. Based in Vancouver, BC.