Are your community members confused by AI trends or stuck on complex AI tools? Our (Q&A) We Answer Your Questions in Comments templates make it easy to gather and answer AI questions in a supportive, expert-backed way. Simplify engagement and help your members feel heard and empowered.
Plan your content calendar and auto-post to Skool, Circle, or Mighty Networks
Q&A posts tap into the natural curiosity of your community and build trust by providing reliable answers in an open forum. When members see their questions valued and answered, they feel more connected and confident in the community's expertise. This approach also helps surface common challenges and knowledge gaps, letting community managers address real needs directly.
By encouraging both official and member-driven answers, you foster collaboration and knowledge-sharing. Moderating and highlighting accurate or expert answers ensures the information stays high quality, while the public format enables everyone to benefit from the discussion. This not only boosts engagement but also positions your AI agency as a helpful, approachable authority.
What AI question is on your mind today? Drop it below and our experts will answer.
💡 Example: "What AI question is on your mind today? Drop it below and our experts will answer."
Struggling with an AI tool or workflow? Ask your question in the comments for help.
💡 Example: "Struggling with an AI tool or workflow? Ask your question in the comments for help."
Have you hit an AI roadblock? Share your challenge and let the community help you solve it.
💡 Example: "Have you hit an AI roadblock? Share your challenge and let the community help you solve it."
Got a question about AI ethics or best practices? Post it here for a thoughtful answer.
💡 Example: "Got a question about AI ethics or best practices? Post it here for a thoughtful answer."
Ask us anything about implementing AI in your business. We will answer in the comments.
💡 Example: "Ask us anything about implementing AI in your business. We will answer in the comments."
Curious about the latest AI trends? Drop your questions below and get insights from our team.
💡 Example: "Curious about the latest AI trends? Drop your questions below and get insights from our team."
What is something about AI that confuses you? Ask and we will clarify.
💡 Example: "What is something about AI that confuses you? Ask and we will clarify."
Not sure how to get started with AI? Post your beginner questions here.
💡 Example: "Not sure how to get started with AI? Post your beginner questions here."
What is the biggest AI myth you have heard? Ask us to set the record straight.
💡 Example: "What is the biggest AI myth you have heard? Ask us to set the record straight."
Share your AI project challenge and get advice from our experts and peers.
💡 Example: "Share your AI project challenge and get advice from our experts and peers."
Have you encountered an unexpected AI result? Describe it and we will help you troubleshoot.
💡 Example: "Have you encountered an unexpected AI result? Describe it and we will help you troubleshoot."
What AI resources are you searching for? Comment below and we will recommend some.
💡 Example: "What AI resources are you searching for? Comment below and we will recommend some."
Which AI tool is confusing you right now? Ask your question and we will help.
💡 Example: "Which AI tool is confusing you right now? Ask your question and we will help."
Got a question about prompt engineering? Post it below for a detailed answer.
💡 Example: "Got a question about prompt engineering? Post it below for a detailed answer."
What would you like to know about AI data privacy? Ask in the comments.
💡 Example: "What would you like to know about AI data privacy? Ask in the comments."
Looking for advice on scaling AI solutions? Drop your questions here.
💡 Example: "Looking for advice on scaling AI solutions? Drop your questions here."
What is the one thing you wish you knew about AI? Ask and we will answer.
💡 Example: "What is the one thing you wish you knew about AI? Ask and we will answer."
Do you have any AI integration questions? Post them below for guidance.
💡 Example: "Do you have any AI integration questions? Post them below for guidance."
Share your doubts about AI automation and let us clarify them.
💡 Example: "Share your doubts about AI automation and let us clarify them."
Not sure how to interpret AI results? Ask for an explanation below.
💡 Example: "Not sure how to interpret AI results? Ask for an explanation below."
What AI use case are you curious about? Post your question and we will share insights.
💡 Example: "What AI use case are you curious about? Post your question and we will share insights."
Have a burning AI question? Comment below and let our experts weigh in.
💡 Example: "Have a burning AI question? Comment below and let our experts weigh in."
What AI startup questions do you have? Ask and get real-world answers.
💡 Example: "What AI startup questions do you have? Ask and get real-world answers."
Confused by AI jargon? Post the term and we will explain it simply.
💡 Example: "Confused by AI jargon? Post the term and we will explain it simply."
Is there an AI workflow you want to optimize? Drop your question here.
💡 Example: "Is there an AI workflow you want to optimize? Drop your question here."
What is your biggest concern about using AI? Share and we will address it.
💡 Example: "What is your biggest concern about using AI? Share and we will address it."
Ask us anything about AI project management. Our team will answer in the comments.
💡 Example: "Ask us anything about AI project management. Our team will answer in the comments."
Need advice on choosing the right AI platform? Post your questions here.
💡 Example: "Need advice on choosing the right AI platform? Post your questions here."
What feature do you wish AI tools had? Ask in the comments and discuss with the community.
💡 Example: "What feature do you wish AI tools had? Ask in the comments and discuss with the community."
Stuck on an AI dataset issue? Post your question for troubleshooting tips.
💡 Example: "Stuck on an AI dataset issue? Post your question for troubleshooting tips."
What would you like to learn about AI model training? Ask and we will explain.
💡 Example: "What would you like to learn about AI model training? Ask and we will explain."
Got an AI deployment question? Comment below and get step-by-step help.
💡 Example: "Got an AI deployment question? Comment below and get step-by-step help."
Have questions about AI security? Drop them here and we will provide guidance.
💡 Example: "Have questions about AI security? Drop them here and we will provide guidance."
What is the most confusing part of AI for you? Ask and we will break it down.
💡 Example: "What is the most confusing part of AI for you? Ask and we will break it down."
Looking for AI implementation tips? Post your scenario and we will advise.
💡 Example: "Looking for AI implementation tips? Post your scenario and we will advise."
What would you ask an AI agency if you could? Post your question here.
💡 Example: "What would you ask an AI agency if you could? Post your question here."
What is your top priority for AI this year? Ask your questions for strategic advice.
💡 Example: "What is your top priority for AI this year? Ask your questions for strategic advice."
Have feedback on AI tool usability? Share your questions or suggestions below.
💡 Example: "Have feedback on AI tool usability? Share your questions or suggestions below."
What AI certification questions do you have? Ask and we will point you to resources.
💡 Example: "What AI certification questions do you have? Ask and we will point you to resources."
Wondering about AI regulations? Post your questions and we will clarify the latest rules.
💡 Example: "Wondering about AI regulations? Post your questions and we will clarify the latest rules."
What is one AI topic you wish you understood better? Ask and we will explain.
💡 Example: "What is one AI topic you wish you understood better? Ask and we will explain."
Ask your AI workflow or process questions here and get advice from our agency.
💡 Example: "Ask your AI workflow or process questions here and get advice from our agency."
Post one of these Q&A prompts regularly in your group, forum, or feed. Encourage members to leave their questions about AI, tools, strategies, or industry challenges in the comments. Assign moderators or experts to monitor the thread, replying with clear, correct answers and inviting community input. Pin or highlight the best answers for future reference, and always thank members for participating. Rotate topics to keep conversations fresh and relevant.
On all platforms, use tagging or pinning to highlight expert answers. Use simple language and break down technical explanations in replies. Monitor notifications so you can respond quickly, and encourage members to upvote or like helpful answers.
AI Agency clients frequently express concerns about model transparency and explainability. Use Q&A comment threads to invite targeted questions on these topics, and respond with clear, example-driven explanations—such as how your agency ensures model decisions are auditable or how you mitigate black-box risks. Sharing real project scenarios and tools (e.g., LIME, SHAP) can demonstrate your agency's commitment to responsible AI.
Segment your Q&A prompts: For data scientists, use posts that mention challenges like hyperparameter tuning or deployment pipelines; for business stakeholders, prompt questions about ROI metrics or AI-driven workflow automation. This ensures the comment section attracts both technical and strategic engagement, resulting in richer community discussions.
Encourage community members to ask about specific stages of the AI lifecycle—such as data cleaning, model validation, or post-deployment monitoring—in your Q&A posts. Aggregating and analyzing these questions helps reveal recurring challenges, enabling your agency to create targeted solutions, resources, or even new service offerings.
When addressing ethics in AI, reference your agency's actual policies—like bias mitigation protocols, data privacy frameworks, or third-party audits. Provide concrete examples of how your team has handled ethical dilemmas in past projects. This approach builds trust and showcases your agency’s proactive stance on responsible AI.
Mix both! Technical questions about frameworks attract practitioner engagement, while strategy-focused discussions appeal to decision-makers. Use your Q&A posts to alternate between tool-specific prompts (e.g., migration from TensorFlow to PyTorch) and broader topics (e.g., evaluating build-vs-buy for AI solutions) to serve the whole AI Agency community.
Acknowledge project challenges openly but frame them as learning opportunities. Share anonymized, high-level case studies illustrating how setbacks led to improved processes or client outcomes. This not only humanizes your agency but also positions you as a leader in continuous improvement and risk management within the AI industry.
Skool · Circle · Mighty Networks