AI Basics for Daily Productivity
This lesson establishes the baseline for everyday AI use: choosing sensible tasks, framing the request clearly, and reviewing output without turning the process into extra admin.
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Key takeaways
- Use AI on tasks that benefit from drafting, structuring, summarising, or comparison, not on decisions that require unchecked certainty.
- Start with a clean task definition and source material before you open the model.
- Review outputs for usefulness, accuracy, and next-action clarity before they leave your workflow.
Step-by-step workflow
- Pick a repeatable task with a clear input and output, such as turning notes into a short summary or action list.
- Write down the job to be done, the audience, and the format you want before prompting.
- Provide the minimum useful context instead of a long unstructured paste.
- Review the draft for accuracy, omissions, and tone before it leaves your workflow.
- Save the prompt pattern and review criteria if the task is likely to recur.
Companion notes
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Recommended tools
- A general-purpose LLM interface with file upload support
- A notes workspace for saving reusable prompts and review checklists
- Your existing task system for capturing the next action, not just the summary
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