Clarifier
Turns the vague workshop request into learning goals, audience assumptions, and constraints.
- Input
- One vague request
- Output
- Learning goal, audience, constraints
Classroom Demo
A guided classroom demo that shows why agents need clear jobs, explicit handoffs, and checks before the final answer.
Demo Request
Plan a 45-minute beginner AI workshop where students learn what agents do, how handoffs work, and when to trust the result.
Shared Classroom Room
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Baseline
60 sec
Students see the hidden decisions inside a simple request.
Ask The Room
What must the system know before it can plan a useful beginner workshop?
What To Notice
The request names the final product, but not the audience, constraints, success criteria, or checks. Those missing decisions become work for the system.
Workflow Board
Showing classroom baseline
Turns the vague workshop request into learning goals, audience assumptions, and constraints.
Finds examples, materials, and timing limits that fit the clarified goal.
Turns the goal and evidence into a teachable workshop sequence.
Checks whether the plan is supported by the trace and safe to use in class.
Clarifier
Ask what beginners should understand, what the class already knows, and what constraints matter.
Resource Researcher
Collect examples, materials, time limits, and room constraints that fit the clarified goal.
Activity Designer
Sketch the learner journey and mark where preparation can happen in parallel.
Evaluator
Check the trace for missing inputs, hidden assumptions, weak evidence, and unsafe claims.
Student Activity
Baseline choice
Students vote together on one improvement. The lecturer uses the group choice to explain what changes in the workflow.
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Trace View
Input Packet
Vague workshop request plus the current learning goal.
Agent Transform
One agent rewrites, researches, designs, or evaluates the packet.
Output Packet
A named artifact that the next agent can inspect and use.