CommonLab
CommonLab helps educators publish courses and gives learners a safe place to build, run, observe, and debug agents before using real-world tools.
Lessons, cohorts, enrolment
Guided sandbox exercises
Progress, traces, outputs
Featured path
Practical AI workflows that save time, connect your tools, and help you build your first useful automation or agent.
4
Modules
23
Lessons
4 weeks
Duration
What CommonLab does
Learners do not need to jump between scattered tools and risky integrations. Educators can structure the learning journey while learners practice with visible, reviewable agent work.
Publish self-paced lessons, live cohorts, projects, and assessments.
Attach sandbox exercises for prompts, tool calls, memory, APIs, and workflows.
Let learners test agent behavior before moving into live accounts and data.
Sandbox layer
The course structure stays familiar: enrol, learn, complete lessons, and submit projects. The lab layer adds isolated workspaces, observable runs, and permissioned tools.
Learners practice in a controlled environment before using real tools or production data.
Create an agent from a lesson template.
Test it with limited tools and sample data.
Inspect logs, outputs, and next steps.
Separate practice environments for learners and cohorts.
Review tasks, logs, tool calls, files, and outputs.
Teach coordination, delegation, and collaboration patterns.
Limit tools, reset labs, and review attempts.
For educators
Publish public or private courses
Run 4 to 6 week cohorts or self-paced programs
Attach sandbox exercises to lessons
Track enrolment, progress, and completion
Create templates for agents, tools, and workflows
Offer affordable access for learners and communities
Featured course
CommonLab continues to support the course structure already in place while preparing the product for educator-created courses and attached lab environments.
Practical AI workflows that save time, connect your tools, and help you build your first useful automation or agent.
Get started