Topic
AI Tools & Assistants
Leverage AI tools for research, writing, analysis, and automation with strong prompting, privacy awareness, evaluation discipline, and integration into real workflows.
Use Cases
1
- Define tasks AI can accelerate: summarization, drafting, code scaffolding, data extraction, and ideation.
- Break large tasks into small prompts and iterate with feedback for higher quality outputs.
Prompting
2
- Provide context, constraints, and examples. Specify tone, audience, and format to reduce rework.
- Use checklists and rubrics in prompts so outputs can be verified systematically.
Privacy and Safety
3
- Avoid entering secrets or regulated data. Use redaction or synthetic samples during exploration.
- Prefer tools with enterprise privacy commitments when handling sensitive material.
Automation
4
- Connect AI to tools via APIs or automations to move from answers to actions.
- Log prompts and results for auditability and learning over time.
Evaluation
5
- Compare outputs across tools for critical tasks. Measure accuracy, completeness, and time saved.
- Use human review for high‑stakes deliverables; AI augments but does not replace accountability.
Checklist
Work through these steps in order.
- Define tasks and constraints.
- Iterate with examples.
- Protect sensitive data.
- Integrate via APIs; review outputs.