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Test a solution with sample cases
I can test a solution made with AI, such as a reusable instruction, workflow, or code, on ordinary and difficult examples before using it.
Workflows and agents
What this means
Before using a solution, make a test list of ordinary and difficult inputs, run the solution on them, record the results, and fix or limit the solution.
Why this matters
One successful run does not show whether the solution will work tomorrow with different input. A test list makes reliability visible.
How to recognize this skill
- 01Make a test list that includes ordinary and difficult cases.
- 02Run the solution on the test cases and record the results.
- 03Use the test results to fix errors or limit how the solution is used.
This does not yet demonstrate the skill
- One successful trial run.
- Relying on AI’s assurance that the solution works.
Learn this
Guides
- TeachesCan AI write code?Ask AI for a small code or formula example, ask it to explain the result and test it before use.
- PracticesHow an AI project takes shape: from idea to finished resultStart an AI project with one clearly defined problem, test it with harmless material and decide for yourself when it is ready to use.
- PracticesBuild a small AI app without coding — choose one taskBuild your first AI assistant with a limited scope using sample material: one task, a small test and human review before sharing.
Practice
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