AI agency communities thrive on insightful discussion, but sparking meaningful conversation around shared articles can be tough. These templates make it easy to prompt thoughtful replies and keep members engaged. Use them to transform passive readers into active contributors.
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Article conversation posts give members a clear, low-pressure way to join the discussion by responding to specific points or questions. They help people move beyond simply liking or skimming content, encouraging them to reflect and share their own perspectives. By highlighting key takeaways or provocative ideas, these posts invite deeper thinking and give everyone a starting point for dialogue.
This approach is especially effective in AI communities, where topics can be complex or rapidly evolving. By prompting reactions or questions, you build a culture of curiosity and learning. It also helps surface diverse viewpoints, enriching the community’s collective understanding and keeping engagement high.
After reading this article on AI bias, what stands out to you most?
💡 Example: "After reading this article on AI bias, what stands out to you most?"
Which point in the latest AI adoption report do you agree with or challenge?
💡 Example: "Which point in the latest AI adoption report do you agree with or challenge?"
How could these AI trends impact your current projects?
💡 Example: "How could these AI trends impact your current projects?"
Summing up, this article suggests AI will reshape hiring. What do you think?
💡 Example: "Summing up, this article suggests AI will reshape hiring. What do you think?"
What is the biggest risk mentioned in this AI case study, in your view?
💡 Example: "What is the biggest risk mentioned in this AI case study, in your view?"
Do you agree with the author's take on responsible AI development? Why or why not?
💡 Example: "Do you agree with the author's take on responsible AI development? Why or why not?"
Has anyone tried the approach described in this AI implementation article?
💡 Example: "Has anyone tried the approach described in this AI implementation article?"
What would you add or change in the process outlined here for AI model training?
💡 Example: "What would you add or change in the process outlined here for AI model training?"
This piece raises concerns about AI data privacy. What solutions come to mind?
💡 Example: "This piece raises concerns about AI data privacy. What solutions come to mind?"
Did anything in this AI ethics article surprise you?
💡 Example: "Did anything in this AI ethics article surprise you?"
How would you apply the lessons from this article to your own agency work?
💡 Example: "How would you apply the lessons from this article to your own agency work?"
What's one question this article left you with?
💡 Example: "What's one question this article left you with?"
If you disagree with a point in this article, share your perspective below.
💡 Example: "If you disagree with a point in this article, share your perspective below."
Can you relate to the AI challenges described here? Tell us your story.
💡 Example: "Can you relate to the AI challenges described here? Tell us your story."
What is one thing you learned from this article that you did not know before?
💡 Example: "What is one thing you learned from this article that you did not know before?"
How do you see the ideas here shaping the industry in the next year?
💡 Example: "How do you see the ideas here shaping the industry in the next year?"
Do you see any gaps in the analysis presented in this AI article?
💡 Example: "Do you see any gaps in the analysis presented in this AI article?"
What is the most actionable insight from this piece for AI agencies?
💡 Example: "What is the most actionable insight from this piece for AI agencies?"
Would you recommend this article to a colleague? Why or why not?
💡 Example: "Would you recommend this article to a colleague? Why or why not?"
Share a resource related to the article if you have one.
💡 Example: "Share a resource related to the article if you have one."
Does this article align with your experience in AI projects?
💡 Example: "Does this article align with your experience in AI projects?"
If you could ask the author one question, what would it be?
💡 Example: "If you could ask the author one question, what would it be?"
Has your view of AI changed after reading this?
💡 Example: "Has your view of AI changed after reading this?"
Pick a quote from the article that resonated with you.
💡 Example: "Pick a quote from the article that resonated with you."
Would you approach your next AI project differently after reading this?
💡 Example: "Would you approach your next AI project differently after reading this?"
What is missing from this article that you wish was covered?
💡 Example: "What is missing from this article that you wish was covered?"
Share your biggest takeaway from today's featured AI article.
💡 Example: "Share your biggest takeaway from today's featured AI article."
What concerns or hopes does this article raise for you about AI's future?
💡 Example: "What concerns or hopes does this article raise for you about AI's future?"
How does your agency handle the challenges outlined in this article?
💡 Example: "How does your agency handle the challenges outlined in this article?"
Does this article challenge any of your assumptions about AI?
💡 Example: "Does this article challenge any of your assumptions about AI?"
What would you like to see explored further based on this article?
💡 Example: "What would you like to see explored further based on this article?"
If you could summarize this article in one sentence, what would it be?
💡 Example: "If you could summarize this article in one sentence, what would it be?"
Do you see parallels between this article and your agency's journey?
💡 Example: "Do you see parallels between this article and your agency's journey?"
How would you explain this article's key insight to someone new to AI?
💡 Example: "How would you explain this article's key insight to someone new to AI?"
What is one practical step inspired by this article you could take this week?
💡 Example: "What is one practical step inspired by this article you could take this week?"
Have you seen different outcomes than those mentioned in this AI case study?
💡 Example: "Have you seen different outcomes than those mentioned in this AI case study?"
Which stat or fact in the article caught your attention?
💡 Example: "Which stat or fact in the article caught your attention?"
What would you ask the community to discuss after reading this article?
💡 Example: "What would you ask the community to discuss after reading this article?"
How do you balance the risks and opportunities mentioned here in your work?
💡 Example: "How do you balance the risks and opportunities mentioned here in your work?"
Did the article change your perspective on AI regulation?
💡 Example: "Did the article change your perspective on AI regulation?"
Share your own example that relates to a challenge discussed in the article.
💡 Example: "Share your own example that relates to a challenge discussed in the article."
To use these templates, simply copy a prompt and pair it with a relevant article or editorial post. Adjust the question or summary to fit the piece you are sharing. Tag or mention members who might be interested to boost early participation. Encourage follow-up by acknowledging thoughtful replies and steering the conversation deeper when possible.
On all platforms, pair your article with a brief, engaging summary and a clear call-to-action. Use tagging or mentions to invite participation, and reply promptly to early commenters to sustain momentum. Visuals or infographics can help draw attention, especially on channels like LinkedIn or Facebook.
Aim for 1-2 article conversation posts per week to encourage ongoing, meaningful discussion without overwhelming members.
Select articles relevant to your members' interests or current industry trends, ideally with clear takeaways or debatable points.
Yes, provide a brief summary or key points to help all members participate, even if they have not read the full article.
Tag members, ask open-ended questions, and be the first to share your own thoughts to set the tone for engagement.
Yes, as long as you set clear community guidelines for respectful discussion and moderate as needed for a constructive tone.
Step in as a moderator to remind members of guidelines, encourage empathy, and steer the discussion back to productive ground.
Yes, these prompts are designed for flexibility and can be adapted to any platform where your AI agency community gathers.