AI Research Agents Study Plan
May 23, 2026
Microsoft Applied Skills study plan for generating reports with AI research agents, source selection, drafting, refinement, and final review.
This plan prepares Microsoft Applied Skills: Generate reports with AI research agents as an interactive lab. The useful skill is not writing generic prompts; it is producing a source-aware business report with scope, draft, refinement, and final review.
Three-day route
| Day |
Focus |
What to do |
| Day 1 |
Scope and sources |
Practice defining report purpose, audience, business decision, source boundaries, and output structure. |
| Day 2 |
Draft and refine |
Use Researcher to create an initial draft, then ask targeted follow-ups for gaps, weak claims, tone, and organization. |
| Day 3 |
Finalize |
Review facts, sensitive data, assumptions, recommendations, and final report readiness. Recheck Microsoft Learn before launching the lab. |
If you only have one evening
- Read the cheat sheet and memorize the report sequence.
- Practice one prompt for scope, one for drafting, one for refining, and one for final review.
- Review examples of weak reports: unsupported claims, unclear audience, vague recommendations, and sensitive-data exposure.
- Recheck the official Microsoft Learn page for live assessment details.
Readiness signals
- You can define the report audience and decision before drafting.
- You can identify source material instead of relying on generic model knowledge.
- You can improve a draft by naming the defect: missing evidence, unclear structure, unsupported claim, or wrong tone.
- You can finalize a report with fact, sensitivity, policy, and actionability checks.
- You can explain why human review is still required.
Revised on Monday, June 15, 2026