Tired of searching for fresh ways to share valuable AI resources with your community? Our resource sharing templates make it easy to highlight the best articles, tools, and guides while sparking meaningful conversations. Save time and add real value with every post.
Plan your content calendar and auto-post to Skool, Circle, or Mighty Networks
Resource sharing posts are powerful because they address a core community need: easy access to trustworthy, relevant information. By curating and sharing the best AI resources, you position your community as a go-to hub for continuous learning and growth. These posts also foster a culture of generosity and expertise, encouraging members to both consume and contribute valuable content.
Psychologically, people feel more engaged when they discover something useful that solves a problem or inspires them. When you accompany a resource with context and a clear call to action, you help members see the immediate benefit, making them more likely to interact, share their feedback, and pay it forward. Over time, this builds trust and boosts overall participation.
Check out this AI tool that simplifies workflow automation. Have you tried it yet?
💡 Example: "Check out this AI tool that simplifies workflow automation. Have you tried it yet?"
I found a great article on ethical AI practices. Read it and let us know your thoughts.
💡 Example: "I found a great article on ethical AI practices. Read it and let us know your thoughts."
This video explains prompt engineering basics in under 5 minutes. Who else is learning about this?
💡 Example: "This video explains prompt engineering basics in under 5 minutes. Who else is learning about this?"
Download this free dataset for training NLP models. Share your results if you use it.
💡 Example: "Download this free dataset for training NLP models. Share your results if you use it."
Here is a curated list of AI podcasts worth checking out. Which is your favorite?
💡 Example: "Here is a curated list of AI podcasts worth checking out. Which is your favorite?"
New research paper on explainable AI just dropped. Who wants a summary?
💡 Example: "New research paper on explainable AI just dropped. Who wants a summary?"
Try this open-source library for computer vision projects. Post your feedback below.
💡 Example: "Try this open-source library for computer vision projects. Post your feedback below."
This infographic compares the top AI models for image generation. Save it for reference.
💡 Example: "This infographic compares the top AI models for image generation. Save it for reference."
Found a simple tutorial for setting up your first chatbot. Perfect for beginners.
💡 Example: "Found a simple tutorial for setting up your first chatbot. Perfect for beginners."
Weekly roundup: Top 5 AI news stories you might have missed. Catch up here.
💡 Example: "Weekly roundup: Top 5 AI news stories you might have missed. Catch up here."
Just launched: Free online course on reinforcement learning. Who is enrolling?
💡 Example: "Just launched: Free online course on reinforcement learning. Who is enrolling?"
This GitHub repo has code samples for popular machine learning algorithms.
💡 Example: "This GitHub repo has code samples for popular machine learning algorithms."
Check out this AI events calendar for upcoming webinars and meetups.
💡 Example: "Check out this AI events calendar for upcoming webinars and meetups."
Sharing a toolkit for AI project management. Which tools do you use?
💡 Example: "Sharing a toolkit for AI project management. Which tools do you use?"
Resource alert: Free eBook on deep learning fundamentals. Download it here.
💡 Example: "Resource alert: Free eBook on deep learning fundamentals. Download it here."
This blog post breaks down bias in AI systems. Worth a read for everyone.
💡 Example: "This blog post breaks down bias in AI systems. Worth a read for everyone."
If you use AI for data cleaning, this cheat sheet could save you hours.
💡 Example: "If you use AI for data cleaning, this cheat sheet could save you hours."
Calling all students: Here is a scholarship opportunity in AI research.
💡 Example: "Calling all students: Here is a scholarship opportunity in AI research."
Looking for open challenges in AI? This site lists the latest competitions.
💡 Example: "Looking for open challenges in AI? This site lists the latest competitions."
Quick guide: Evaluating AI model performance metrics. Save for future projects.
💡 Example: "Quick guide: Evaluating AI model performance metrics. Save for future projects."
Anyone tried this AI-powered note-taking app? Share your experience below.
💡 Example: "Anyone tried this AI-powered note-taking app? Share your experience below."
This case study shows real business impact from AI adoption. Worth a look.
💡 Example: "This case study shows real business impact from AI adoption. Worth a look."
Here is a list of AI newsletters for staying updated. Which do you subscribe to?
💡 Example: "Here is a list of AI newsletters for staying updated. Which do you subscribe to?"
Free course: Intro to generative AI, with hands-on examples. Who is signing up?
💡 Example: "Free course: Intro to generative AI, with hands-on examples. Who is signing up?"
This resource explains AI ethics for non-technical users. Share with your network.
💡 Example: "This resource explains AI ethics for non-technical users. Share with your network."
Try this browser extension to summarize long AI research papers quickly.
💡 Example: "Try this browser extension to summarize long AI research papers quickly."
Found an AI visualization tool that makes data insights clearer. Who wants a demo?
💡 Example: "Found an AI visualization tool that makes data insights clearer. Who wants a demo?"
This guide covers best practices for prompt writing. Save for your next project.
💡 Example: "This guide covers best practices for prompt writing. Save for your next project."
Sharing a list of free AI APIs for developers. Add your favorites below.
💡 Example: "Sharing a list of free AI APIs for developers. Add your favorites below."
This free toolkit helps you detect AI-generated content. Try it and report your results.
💡 Example: "This free toolkit helps you detect AI-generated content. Try it and report your results."
If you are new to AI, this glossary makes key terms easy to understand.
💡 Example: "If you are new to AI, this glossary makes key terms easy to understand."
This webinar replay explores real-world AI deployment. Watch and share your questions.
💡 Example: "This webinar replay explores real-world AI deployment. Watch and share your questions."
New online AI playground lets you test models hands-on. Who has tried it?
💡 Example: "New online AI playground lets you test models hands-on. Who has tried it?"
Here is a resource on AI career paths and required skills. Save for your job search.
💡 Example: "Here is a resource on AI career paths and required skills. Save for your job search."
This AI newsletter offers weekly updates and tips. Subscribe for the latest insights.
💡 Example: "This AI newsletter offers weekly updates and tips. Subscribe for the latest insights."
Find your next project inspiration in this list of open-source AI projects.
💡 Example: "Find your next project inspiration in this list of open-source AI projects."
Resource share: This Slack group connects AI professionals worldwide. Join if interested.
💡 Example: "Resource share: This Slack group connects AI professionals worldwide. Join if interested."
This data visualization guide is a must-have for AI practitioners.
💡 Example: "This data visualization guide is a must-have for AI practitioners."
Free access: AI model testing sandbox for rapid prototyping. Share your builds.
💡 Example: "Free access: AI model testing sandbox for rapid prototyping. Share your builds."
Found a template for AI project documentation. Who else documents their workflow?
💡 Example: "Found a template for AI project documentation. Who else documents their workflow?"
This AI podcast episode dives into recent breakthroughs. Listen and discuss.
💡 Example: "This AI podcast episode dives into recent breakthroughs. Listen and discuss."
Start by selecting a resource relevant to your community's interests or recent discussions. Use the templates to introduce the resource, briefly explain why it is helpful, and invite members to engage or share their own experiences. Rotate between articles, videos, tools, and guides to keep things fresh. Encourage feedback after members try the resource to generate follow-up conversations and deepen connections.
On all platforms, keep resource descriptions concise and highlight the key benefit up front. Use eye-catching visuals or emojis to draw attention where allowed. Tag or mention relevant members to spark discussion. On platforms with pinning features, pin high-value resource shares for greater visibility. Always adapt your format to fit the unique culture and posting style of each platform.
Divide your resource sharing posts into clearly labeled sections, such as 'Technical Deep Dives' for ML practitioners (e.g., new PyTorch techniques, Jupyter notebook templates) and 'Product Insights' for AI PMs (e.g., AI ethics guidelines, model deployment checklists). This ensures relevance across your AI-focused audience while minimizing information overload.
It's best to provide both links to reputable sources (such as HuggingFace model pages) and concise summaries highlighting licensing terms, compute prerequisites, and potential use cases. This allows members to quickly assess whether the resource fits their technical environment and legal constraints.
Always verify dataset licenses before sharing. For proprietary or restricted datasets, share only public documentation or metadata, and encourage discussion around data governance. If possible, direct members to request access through official channels rather than sharing files directly.
Sharing official code repositories with clear instructions for training and inference is generally safer for reproducibility and security. If sharing pre-trained weights, ensure they come from trusted sources and provide checksums for verification. Always highlight potential security risks with third-party binaries.
Encourage anonymized, high-level overviews focusing on challenges, lessons learned, and outcomes, rather than sensitive implementation details. Provide a template for case study sharing that prompts for what’s permissible, and remind members to omit any proprietary information covered by NDAs.
Establish clear post guidelines that require resources to be explicitly tied to AI subfields—such as specifying 'Transformer architectures for NLP' or 'YOLOv8 for real-time object detection.' Moderate threads to redirect off-topic posts and use community tags or categories for each AI discipline.
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