Paso 1
Learn and practice on real artifacts
Role paths with prompt coaching on spreadsheets, notes, and CRM-style data—rubric feedback until the workflow is ready to save.
Platform
Los equipos aprenden con trabajo realista en BuildingBlocksAI, guardan playbooks reutilizables y mantienen The Builder conectado en su herramienta de IA—los gerentes ven ejecuciones y adopción, no solo finalización de cursos.
Most companies already pay for AI seats. The gap is habit: people ask one-off questions instead of running repeatable workflows. BuildingBlocksAI is the adoption layer—short practice on sample inbox and calendar work, rubric feedback until the prompt is ready, then save and rerun in the AI tool your company already uses. Managers see saves, runs, and who needs a nudge—not slide completion.
BuildingBlocks enseña y puntúa el hábito. Su herramienta de IA es donde corre el trabajo. Los ejecutivos ven ejecuciones, guardados y coaching—no slides completados. Leer conceptos básicos de IA en el trabajo (2 min) →
How we measure value
Executives buy measurable workflow usage. BuildingBlocksAI tracks what teams save, run, and coach on the job—so ROI reports show behavior change, not attendance.
Workflows saved
Reusable templates with verification checklists—evidence learners turned practice into playbooks they own.
Workflow runs
Weekly executions on real work, including reruns after feedback—retrieval practice that sticks.
Manager dashboard + exec report
At-risk learners, coaching events, team playbooks, and a printable pilot summary for executive sponsors.
Paso 1
Role paths with prompt coaching on spreadsheets, notes, and CRM-style data—rubric feedback until the workflow is ready to save.
Paso 2
Personal templates plus team playbooks managers promote. Runs on new work every week—not one-and-done module completion.
Paso 3
Invite aprendices, importe líneas base de uso y conecte The Builder en su herramienta de IA—los hitos alimentan el informe ejecutivo sin alojar agentes en nuestra app.
See the adoption loop on the homepage → · Leer conceptos básicos de IA en el trabajo (2 min) →