Tired of trying to spark real conversations in your AI Agency community? Experience Share posts invite members to open up, leading to deeper bonds and more active participation. Use these proven templates to encourage authentic storytelling and meaningful engagement.
Plan your content calendar and auto-post to Skool, Circle, or Mighty Networks
Experience Share content taps into the universal human desire to be heard and to connect through stories. By inviting community members to reflect on their personal journeys in AI, you foster trust, empathy, and a sense of belonging. When people see others share honestly, it encourages them to do the same, creating a ripple effect of participation.
This method is especially effective in AI Agency communities, where members come from diverse roles and backgrounds. Sharing experiences not only surfaces valuable insights but also validates the challenges and triumphs unique to the field. Over time, these exchanges become the backbone of a vibrant, supportive community.
Share a moment when AI surprised you in your work.
💡 Example: "Last year, an AI model flagged an error I missed. When did AI surprise you?"
Tell us about your first hands-on experience with an AI tool.
💡 Example: "My first time with GPT was mind-blowing. What about yours?"
What is the biggest lesson you have learned from deploying AI in real projects?
💡 Example: "I learned to always check data quality. Your lessons?"
Share a challenge you faced in an AI project and how you overcame it.
💡 Example: "I struggled with model drift, but monitoring fixed it. How about you?"
When did you realize AI could make a real impact in your industry?
💡 Example: "Seeing AI automate customer queries amazed me. What was your moment?"
Describe a time when an AI project did not go as planned.
💡 Example: "Our chatbot misunderstood users at launch. What about you?"
Who inspired you to start working with AI?
💡 Example: "My mentor introduced me to machine learning. Who inspired you?"
What advice would you give to someone new to AI agencies?
💡 Example: "Always clarify client goals first. Your advice?"
Share a small win you had on an AI project this week.
💡 Example: "I finally fixed a data pipeline bug. Any wins to share?"
How did you get your first AI client?
💡 Example: "I landed my first client through a referral. Your story?"
What is your proudest moment at your AI agency?
💡 Example: "Winning our first award was incredible. What about you?"
Describe a time you helped a client understand AI better.
💡 Example: "I explained model accuracy with simple visuals. Any stories to share?"
What was your biggest misconception about AI starting out?
💡 Example: "I thought AI could solve any problem. What did you learn?"
Tell us about a time your team collaborated to solve an AI challenge.
💡 Example: "We brainstormed over pizza to fix a bug. Your team stories?"
Share an AI tool you can't live without and why.
💡 Example: "I use Notion for organizing models. What's your must-have tool?"
What is a risk you took in an AI project that paid off?
💡 Example: "Trying a new framework sped up our workflow. Your risks?"
Describe a funny or unexpected moment during an AI deployment.
💡 Example: "Our bot once greeted everyone as 'Dave.' Any similar moments?"
Share a book or resource that shaped your approach to AI.
💡 Example: "'Deep Learning' by Goodfellow changed my view. What's your pick?"
What do you wish you had known before joining an AI agency?
💡 Example: "Client management is key. What do you wish you knew?"
Tell us how you balance innovation and client needs in projects.
💡 Example: "We prototype first, then validate. How do you manage this balance?"
Share a time when you had to explain AI ethics to a client.
💡 Example: "I used analogies to explain bias. Any experiences to share?"
What keeps you motivated in the fast-paced AI world?
💡 Example: "Learning something new daily keeps me going. What about you?"
Describe the most rewarding feedback you have received from a client.
💡 Example: "A client thanked us for making their workflow easier. Your stories?"
What is one myth about AI agencies you wish to debunk?
💡 Example: "Not everything is automated. What myths have you faced?"
Share a story about cross-functional teamwork in your AI projects.
💡 Example: "Working with marketing helped us clarify user needs. Your stories?"
When did you feel most challenged by an AI problem?
💡 Example: "Debugging a rare error took days. When were you most challenged?"
Tell us about a mentor or peer who shaped your AI journey.
💡 Example: "My colleague taught me about model bias. Who influenced you?"
Share your favorite productivity hack for AI projects.
💡 Example: "Daily stand-ups keep us focused. What's your hack?"
What is something you automate in your workflow that saves time?
💡 Example: "I automate data cleaning scripts. What do you automate?"
Describe a unique use case you have seen for AI in your industry.
💡 Example: "We used AI for document summarization in legal. What unique cases have you seen?"
How do you stay current with AI trends and research?
💡 Example: "Newsletters keep me updated. How do you stay current?"
What was your biggest 'aha' moment working with AI clients?
💡 Example: "Realizing clients value clarity over complexity. Your moments?"
Share a time you had to pivot in an AI project.
💡 Example: "We switched frameworks halfway. When did you need to pivot?"
Tell us about an unexpected benefit of implementing AI for a client.
💡 Example: "AI reduced manual errors for a client. Any similar surprises?"
What is one thing you wish clients understood about AI?
💡 Example: "AI is not magic, it needs data. What do you wish clients knew?"
Share a story of how your agency handled a tight deadline with AI.
💡 Example: "We leveraged automation to deliver in days. Your stories?"
How do you recharge after a tough week in AI?
💡 Example: "I unplug and go for a run after busy weeks."
Describe a skill outside of tech that helps you in AI projects.
💡 Example: "My communication skills help align teams. What about you?"
What part of AI work gives you the most satisfaction?
💡 Example: "Seeing models in production is always satisfying."
Share your favorite way to celebrate project milestones in your agency.
💡 Example: "We order team lunch after launches. How do you celebrate?"
What is the most creative solution your team has tried in an AI project?
💡 Example: "We used game theory for model selection. Your team's creative ideas?"
Tell us about a time you learned from a mistake in AI.
💡 Example: "I deployed the wrong model version once. What did you learn from mistakes?"
To use these templates, post them regularly as prompts in your community channels. Pin or highlight posts to encourage replies, and consider tagging specific members to kickstart discussion. Rotate topics to keep content fresh and relatable. Respond to early replies to model vulnerability and keep the conversation flowing.
For all platforms, post at times when your members are most active and use clear formatting to make prompts stand out. Encourage replies in threads or comments, and use tagging or reactions to highlight thoughtful stories. Adapt language slightly for platform norms, but keep the core prompt consistent.
You can adapt the templates by prompting members to describe the business problem the client faced, the process of selecting or developing a custom AI model, and measurable outcomes post-deployment (e.g., 'Share your experience deploying a custom NLP model for a healthcare client. What challenges did you overcome and what ROI did you observe?'). This encourages detailed storytelling relevant to AI agency workflows.
Encourage members to break down their posts using milestones such as initial assessment, data pipeline transition, model retraining, and post-migration monitoring. Suggest including specifics, like cloud provider choices, bottlenecks in MLOps, or strategies for minimizing downtime, to spark actionable discussions among AI professionals.
Incorporate prompts that ask members to share real-world scenarios where bias mitigation, privacy, or explainability became a client concern. For example, 'Describe a client project where ethical considerations changed your approach to model deployment. What frameworks or tools did you use to address these concerns?'
Absolutely. AI Agencies often learn from setbacks like failed POCs due to data quality issues, client misalignment, or scalability problems. Use template prompts that normalize failure and focus on lessons learned (e.g., 'Share an AI project that didn’t meet client KPIs and the adjustments you’d recommend for future engagements').
Create template sections dedicated to new technology adoption (e.g., 'Share your first experience integrating an LLM like GPT-4 into a client solution. What were the main integration or fine-tuning challenges?'). This keeps conversations current and leverages collective expertise on trends affecting AI agencies.
Design template prompts that ask about strategies for managing client expectations, onboarding processes, and overcoming skepticism (e.g., 'Share how you educated a non-technical client on model limitations or managed resistance to AI automation. Which materials or frameworks helped most?'). This helps AI agency peers refine client relationship management skills.
Skool · Circle · Mighty Networks