The Government employee performance prompt pack provides structured prompts to assist employees with performance management tasks, including self-reviews, feedback, 1:1 meetings, career planning, goal setting, development, and internal mobility. Users are encouraged to utilize AI as a reflection partner by inputting notes, feedback, and goals to organize evidence and draft professional language.
The Government leader performance prompt pack provides structured prompts to move performance management from year-end memory to continuous, human-reviewed evidence. Designed for federal leaders who want clearer reviews, stronger coaching habits, and responsible AI adoption tied to mission outcomes.
A better prompt is just a better assignment. This video gives journalists a clear understanding of the best practices for prompting ChatGPT: role, task, context, output, limits, and check. The demo starts with a weak prompt, then rebuilds it into a useful reporting instruction for a city council agenda item.
What you’ll need:
- A ChatGPT account
- A document, agenda item, note, or article to practice on
- A reporting question you want help clarifying
What you’ll learn:
- What makes a prompt useful
- How to structure prompts for reporting tasks
- How to ask ChatGPT to identify uncertainty and missing facts
- How prompting can point you toward the next reporting step
Who this video is for:
Journalists, editors, producers, newsroom leaders, and educators who want practical ways to use AI in daily newsroom work. No technical background is required.
Key takeaway:
Better prompts give ChatGPT a clearer job, which leads to answers that are more useful, specific, and easier to check.
Built by OpenAI:
Created by OpenAI Academy to help news professionals use AI confidently while keeping editorial judgment, sourcing, and verification at the center.
Jul 7th, 2026
Courses (3)
Applied AI Foundations
Turn useful prompts into repeatable workflows
AI Foundations
Build practical skills for working with AI
Agents and Workflows
Learn to direct more structured workflows with agents