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Product Development with AI - I'm doing it!
Just wondering if anyone else in the community is developing a product with AI's help, or is an AI product? If so, I would love to hear your experiences. If I seem to be heads-down, that's what I'm doing right now! I'm working on getting the IP registered, presently (trademark and copyright). Patent is also a possibility once I generate some revenue from it. I can't publicly disclose the product yet, but I'm happy to share my high-level experiences with others who are developing products with/integrating AI.
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Breaking: AWS just dropped 10 guides for building Agentic AI
Happy Reading! You can be sure we will have a video walk through of each of these! Agentic AI patterns and workflows on AWS: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-patterns/introduction.html Foundations of agentic AI on AWS 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-foundations/introduction.html Writing best practices for RAG: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/writing-best-practices-rag/introduction.html Agentic AI frameworks, protocols, and tools on AWS: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-frameworks/introduction.html Building architectures for agentic AI on AWS: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-multitenant/introduction.html Creating RAG solutions on AWS for healthcare: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/rag-healthcare-use-cases/introduction.html Choosing an AWS vector database for RAG use cases: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/introduction.html Building serverless architectures for agentic AI using AWS: 🔗 https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-serverless/introduction.html
Breaking: AWS just dropped 10 guides for building Agentic AI
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Community Guidelines for Mindful and Respectful Engagement
Welcome to our vibrant community of learners and leaders! As we grow, I thought it would be good to clarify our community guidelines. If you see something, say something. Report any violations by selecting the post and reporting it to our moderators. To ensure our space remains a beacon of growth, kindness, and mutual respect, please adhere to the following principles: 1. No Promotional Content: Our community thrives on genuine knowledge exchange. To maintain this environment, we strictly prohibit promotional posts, pitches, or any form of self-promotion. Our focus is on learning, not selling. 2. Value Above All: Before sharing, ask yourself if your content enriches our community. Share insights, experiences, and knowledge that can help peers learn and grow. Content should inspire innovation, provide practical advice, and foster an inclusive atmosphere. DO NOT use AI Generation tools to mass produce content in this community, just speak from your experience and your heart. Authentic communications only. 3. Kindness and Respect: Embrace empathy, compassion, and respect in every interaction. Understand that behind each post and comment is a person striving to learn and improve. Treat others with the kindness and dignity they deserve. 4. Integrity in Action: Act with integrity and honesty. Your contributions should reflect congruency in thoughts, words, and actions, fostering a community built on trust and transparency. 5. Zero-Tolerance Policy: We have a zero-tolerance policy for pitching, self-promotion, and spammy posts (including post written by AI tools). Our community prioritizes safety and respect, and as such, we enforce this rule strictly. Violators will be banned without prior warning to protect the integrity of our shared space. By joining our community, you commit to being a “Lamplighter”—a beacon of love, ambition, mindfulness, purpose, and leadership. Together, we can illuminate the path to a more inclusive, innovative, and responsible world. Thank you for contributing to a space where technology leaders can thrive, innovate responsibly, and lead with a heart of service.
Introducing the Data Commons Model Context Protocol (MCP) Server
Google just opened the floodgates. They've released their Data Commons through MCP—billions of verified data points from governments, the UN, authoritative sources. This isn't just about better training data for AI, this is about fundamentally different AI capabilities that will separate winners from losers. https://developers.googleblog.com/en/datacommonsmcp/ Here's what most business leaders are missing while they're focused on model selection and prompt engineering: The AI reliability crisis has potentially been solved—but only for organizations that understand how to leverage authoritative data sources. You now have: Billions of verified data points from authoritative sources including governments and the UN Data Commons MCP Server providing direct access to structured, context-rich datasets Universal data integration through Anthropic's Model Context Protocol standard Hallucination reduction through grounding AI outputs in verified sources Competitive advantage for enterprises that integrate authoritative data into AI systems But here's what makes this strategically transformative: This isn't just about accessing better data. It's about building AI systems that deliver reliable, verifiable outputs that create sustainable competitive advantages. Want to learn by doing and get practical experience with live expert help and support? Looking to learn more about Agentic AI? Consider joining us in the AI Leadership Institute. Our next masterclass in just a few weeks away!
Introducing the Data Commons Model Context Protocol (MCP) Server
🌟 START HERE- Welcome to the I❤️ AI Community! 🌟
Hello New Members! Please read the entire post! You've joined a dynamic AI community, and we're thrilled to have you Next Steps: - Start Your Onboarding! - Get 2 Level 2 for Exclusive Access to AI Leadership Resources - Place Yourself on the Map! - Start liking and commenting on members posts - Participate in Events and Challenges. - Engage with our community through Discussions and Activities. We’re excited to see your introduction and have you as part of our AI journey! - Start Your Onboarding!
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