Lesson 2 of 12
Structured learning draftLimitations with Copilot 365
In AI Productivity System, the way a learner handles limitations shapes how Copilot 365 is used and evaluated. A limitation is a condition where a tool becomes unreliable, unavailable or inappropriate. This beginner lesson focuses on a decision or output that another person can inspect.
Learning objectives
- Explain limitations in the context of AI Productivity System.
- Apply Copilot 365 to a bounded practical task.
- Evaluate the result using explicit quality criteria.
Limitations: from context to evidence
Limitations connects bounded input to a reviewed output in AI Productivity System.
Define the purpose, intended user and Copilot 365 constraints.
Maintain a register covering accuracy, privacy, context and tool access.
Compare the observed result with a normal case, boundary case and stated limitation.
A limitation is a condition where a tool becomes unreliable, unavailable or inappropriate. For Copilot 365, distinguish performing an operation from demonstrating that it suits the stated purpose. Maintain a register covering accuracy, privacy, context and tool access. Record assumptions that could change the conclusion.
Apply limitations deliberately
- State the AI Productivity System task and the decision it supports.
- Prepare a small Copilot 365 case with a known input and difficult boundary.
- Maintain a register covering accuracy, privacy, context and tool access.
- Compare the observed result with the expected behaviour and explain differences.
- Save the evidence, limitation and next action in a review record.
| Review point | Evidence |
|---|---|
| Purpose | The specific Copilot 365 outcome and intended user |
| Method | The limitations decision, input and version or context |
| Result | Observed output plus a checked boundary case |
| Limitation | What the result does not establish and the next safe action |
Common mistakes
- Using Copilot 365 before defining what limitations must achieve.
- Checking only the easiest AI Productivity System example.
- Reporting a result without its input, assumptions or limitation.
Practice activity
Apply the lesson
For AI Productivity System, complete a bounded Copilot 365 task demonstrating limitations. Keep the original input, numbered method, normal test, boundary test, observed results and a 100-word self-review naming one limitation and next improvement.
Check your understanding
In AI Productivity System, which evidence best supports a limitations result produced with Copilot 365?
Lesson summary
- For AI Productivity System, limitations means: A limitation is a condition where a tool becomes unreliable, unavailable or inappropriate.
- A credible Copilot 365 result includes a checked boundary, not only a successful example.
- The next lesson builds on this limitations evidence record.
Sources and further reading
- AI Risk Management Framework 1.0NIST - accessed 2026-08-21
- AI PrinciplesOECD - accessed 2026-08-21
Personal study note