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AI Workplace Quality
Check AI-assisted work against evidence and a clear output contract.
beginner · About 70 minutes · 4 lessons · 8 exercises + 1 project
Your finished work
A structured, evidence-grounded handoff with explicit unknowns and constraints.
All examples use fictional, synthetic business data. Practice standard: each exercise ≥70, final project ≥80.
The course
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1. Extract a usable brief
Turn a source into explicit constraints without inventing details.
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2. Check claims against evidence
Separate unsupported and contradicted claims.
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3. Produce a reliable structure
Use a precise schema and stable units.
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4. Review before handoff
Check a result for evidence, constraints and an explicit limitation.
Final project
Deliver a grounded pilot brief
Start the project →Preview the input
{
"sources": [
{
"id": "S1",
"title": "Pilot brief",
"text": "The fictional Northstar pilot starts 2026-11-02. It covers 12 support agents. The pilot lasts 14 calendar days. Budget is 2400 USD."
},
{
"id": "S2",
"title": "Review policy",
"text": "Morgan owns the review. No customer personal data may enter the pilot. No automation may send customer replies without human approval."
},
{
"id": "S3",
"title": "Results memo",
"text": "The test processed 80 synthetic tickets. 72 had the correct category. Median handling time was 6 minutes. Customer satisfaction was not measured."
}
],
"brief": "Return start_date (string), agents (number), budget_usd (number), source_ids (array).",
"flawed_output": "The pilot starts next month for 20 agents with unlimited budget."
}