Claude-a-thon Workleap : training 350 people on AI, from virtual to in-person
How Baseline designed and delivered the upskilling journey that made a company-wide AI hackathon possible.
The context
Workleap wanted to do something concrete with AI. Not a conference. Not a theoretical workshop. A real moment where their 350 employees — technical or not — would get their hands on it.
The central question: "How can we optimize our operation and increase our velocity with AI?"
As their CTO put it: "We wanted to do better than classic innovation workshops where you come up with a lot of good ideas, but nothing concrete."
To get there, a real problem had to be solved: teams had very different levels of AI maturity. People who had never opened Claude. Developers who wanted to deploy advanced applications. And everyone in the same room, on the same day.
Sending 350 people into a hackathon without preparation is wasted potential. Baseline was brought in to prevent exactly that.
What Baseline delivered
1. Virtual training → Mastering Claude Cowork
Ahead of the event, Baseline led a comprehensive training on Claude Cowork, designed to make the platform immediately operational for any profile.
On the agenda: understanding the structure of projects and conversations, building effective system instructions, creating and sharing reusable Skills with colleagues, and learning how to guide Claude toward precise results rather than generic answers.
The goal wasn't to discover the tool. It was to arrive on the day knowing exactly what to do with it.
2. Virtual training → Taking action with Claude Code
The second training targeted teams ready to go further: using Claude Code to build real tools, automate workflows, and deliver functional prototypes without waiting for a development team.
Content covered: structuring a development project with Claude, using context strategically, debugging effectively, and understanding how Claude Code interacts with files, terminals, and real work environments.
For non-developer profiles, it's a gateway to technical autonomy. For developers, it's a speed multiplier.
3. On-site AI coaching
On the day of the event, 6 AI coaches from Baseline and Gaiia supported 55 mixed teams of 5 to 7 people during 3.5 hours of effective build time.
The directive was clear: guide without putting your hands on the keyboard. Unblock, don't direct.
Between the two build sessions, coaches synced up to identify which teams needed a boost in the afternoon. A simple mechanic that kept teams from drifting toward slide-polishing instead of actual building.
Non-technical teams were the most active: how to access transcripts to automate a workflow, how to extract and monitor client information to spot opportunities in real time. Concrete business problems, not classroom exercises.
On the tech teams' side, conversations touched on more advanced concepts: modules capable of automatically listening to external events (Webhook-type), for example, triggering an action in Claude as soon as a new employee is added to an HR system, for smarter onboarding tools.
The numbers
2 Virtual training sessions led by Baseline
6 On-site AI coaches (Baseline + Gaiia)
55 Teams supported during 3.5 hours of effective build time
350 Employees ranging from "never opened Claude" to "advanced developer"
What the training made possible
"I'm still in shock."
Teams from every level and every function delivered functional projects in a single day. People who said they were "not comfortable with AI" left with something demo-able. That's not a coincidence: it's the result of preparation done right.
For the details of what was built and measured during the event, see Workleap's article in Training Industry .
What we take away
A Claude-a-thon without upfront training is wasted potential.
AI is better learned by doing than by listening. But "doing" without preparation produces chaos.
Baseline's value: train before, unblock during.
One question remains open for what comes next: how do you make the prototypes built accessible to the whole organization, securely, without flooding the Product team? The next step is to map out a clear path where deployment fits within the security practices and regulations already in place. We're closely watching what Anthropic might deploy to bridge that gap.
What's next
For teams that got a taste of speed, some will want to go further. That's where ongoing support makes all the difference: turning a prototype into real practice, keeping the momentum going, and continuing to build skills without waiting for the next event.
Are you planning an AI activation event for your organization?
Beyond custom AI development, Baseline designs learning experiences that produce measurable results, not inspiring days that evaporate by Monday morning.
Let's talk about what that could look like for you
