Thinking that moves work forward
Practical ideas on AI, project governance, and digital execution. Read, reflect, and put them to work.
5 insights · Newest first
In my recent AI in Project Management articles, I have explored how project managers can use structured prompts to analyze RFPs, develop Project Management Plans, and turn plans into executable work. But why does prompt structure matter?
Read insightAI can certainly help you write a Project Management Plan based on an RFP. But I would not recommend doing that from the start. Anyone who has worked as a PM knows that the real challenge is not simply writing the PMP document. The harder part is understanding what the RFP actually implies.
Read insight“AI image generation is powerful, but how can we generate images with a consistent style?” This is actually a common challenge many companies face when using AI image generation. The longer the Prompt, the more likely the result is to drift away. The real key is not to make the Prompt longer, but to frame the image generation requirements more precisely.
Read insightMany people think AI gives weak answers because the prompt is not clever enough. But in practice, the bigger issue is often this: AI does not have enough context. A prompt tells AI what to do. Context tells AI what situation to base its judgment on.
Read insightFor many project managers, the first instinct when using AI is to ask it to summarize documents, rewrite content, generate PRDs, create user stories, or produce presentation materials. These use cases are certainly useful. But I believe the greater value of AI for project managers lies in helping us see the questions we have not asked, the assumptions we have not noticed, and the real requirements behind the stated requirements.
Read insight
