AI Training
Your team knows AI exists. They don't know how to use it yet.
RBX Labs runs practical AI training for teams that need more than inspiration. The format depends on how fast you need adoption to show up in the work.
Sessions are founder-led, workflow-specific, and built around what your team needs to do next, not generic AI trends.
Three ways to train the team
Pick the format based on how much change the team needs, how cross-functional the work is, and whether you need momentum or habit formation.
Half-day session for one team
Best for a specific workflow focus such as prompting, evaluation, product discovery, or AI-assisted execution.
Leaves the team with a shared mental model, a concrete workflow map, and immediate next actions.
2-3 days for cross-functional teams
Best when product, operations, and leadership need alignment plus something tangible by the end.
Leaves the team with a working prototype, decision framework, and a clearer path to pilot or rollout.
4-8 weeks for adoption and habit formation
Best when the goal is not just exposure to AI, but making it part of how the team actually operates.
Leaves the team with repeatable routines, coaching touchpoints, and usage patterns that stick.
Why teams bring me in for training
No account managers. No handoff to a junior team. You work directly with the person who built the system.
The training is anchored in your workflow, your team constraints, and the decisions you need to make next.
This is the fastest path for teams that know AI matters but need a scoped format before committing to a larger build.
Next Step
Plan the session around the team and the workflow
Use a short planning call to decide whether a workshop, sprint, or longer program makes sense for your team.
If there is a real training need, the session should end with the right format, audience, and outcome.