StackAI

📢 MIT Sloan School of Management is now offering StackAI to our community so they can create AI-powered tools for teaching and learning, no coding required. Learn about use cases (like course bots!), integration tips, and getting started at the link. The best part? Collaborating with Bernard Aceituno, co-founder, and Pablo Omeñaca Muro, founding engineer of Stack AI. Both are Massachusetts Institute of Technology alums! #nocode #ai #edtech #highereducation

𝗠𝗜𝗧 + 𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 = 🔥 𝗕𝗶𝗴 𝗡𝗲𝘄𝘀! 𝗪𝗲'𝗿𝗲 𝘁𝗵𝗿𝗶𝗹𝗹𝗲𝗱 𝘁𝗼 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲 𝗼𝘂𝗿 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝘄𝗶𝘁𝗵 𝗠𝗜𝗧 𝗦𝗹𝗼𝗮𝗻 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘂𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝘆𝗲𝗮𝗿!🎓 With StackAI, faculty and students can build their custom AI assistants in minutes, without coding, for whatever tasks they need support with: 📚 𝗚𝘂𝗶𝗱𝗲 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 through the course syllabus and assignments 📝 𝗔𝘀𝘀𝗶𝘀𝘁 𝗳𝗮𝗰𝘂𝗹𝘁𝘆 with writing papers and performing research 💡 Serve as the backbone for students’ 𝗲𝗻𝘁𝗿𝗲𝗽𝗿𝗲𝗻𝗲𝘂𝗿𝗶𝗮𝗹 𝘃𝗲𝗻𝘁𝘂𝗿𝗲𝘀 StackAI can be easily integrated into your systems (e.g., 𝗖𝗮𝗻𝘃𝗮𝘀) and ensures the safe usage of AI for both students and faculty. Special thank you to Jason Alvarez (our champion and early adopter!), Shallon Silvestrone, and also our colleagues at the Martin Trust Center for MIT Entrepreneurship: Doug Williams, Amrutha Killada, Paul Cheek, and Bill Aulet! Amazed to see MIT at the forefront of education once again! #highereducation #MIT #genai #education #ai

We're thrilled to welcome Kai Henthorn-Iwane to StackAI! 🎉 🎉 🎉 🎨 Kai is joining us as a Design Engineer in our San Francisco office, bringing his design and web development expertise to the mix! 🧙🏽♂️ Being a Figma, React, and Next.js wizard, Kai will be leading our product designs and enhancing our overall user experience. He has terrific taste and knows how to balance both aesthetics and functionality. 🚄 Kai has already redesigned, built, and deployed 2 pages on our website (https://lnkd.in/ei5ReG4R and https://lnkd.in/e3Du43DB) and the navigation bar! Expect more mouth-watering improvements to our UI/UX soon! 🎥 Beyond web-dev & design, Kai is passionate about video editing and illustrations. Be sure to check out his work on Twitter: https://lnkd.in/ebvYYysH We can’t wait to see the amazing things Kai will build with us! #StackAI #GenAI #LLMs #Hiring #Frontend #AI

🚀🎉 We’re now over 60,000 users in StackAI! (and +6K followers on LinkedIn) Automating your back office with AI should be easy. That’s our mission. We created a low-code platform that lets teams launch AI tools in minutes—no tech expertise, just big ideas. Thanks to our amazing community of creators and companies for the trust. Let’s keep building! ✨ #generativeai #llms #nocode #community

In a previous post, I introduced an AI-driven solution to streamline Veeva Systems development by tackling its extensive documentation. I'm excited to share significant improvements to our StackAI powered copilot, now specifically engineered to extract knowledge from Veeva Systems SDK documentation and provide developers with precise, timely answers. Key Advancements: 1. Intelligent Query Answering: The copilot now offers accurate, informative responses to developer inquiries, leveraging insights directly from Veeva's vast knowledge base. 2. Proactive Solution Generation: Moving beyond simple answers, the copilot suggests potential solutions to complex development challenges, acting as a virtual problem-solving partner. 3. Real-World Use Case Guidance: To bridge theory and practice, the copilot provides concrete examples of applying Veeva functionalities in real-world scenarios, boosting developer learning and productivity. These enhancements empower Veeva developers and consultants to tackle intricate projects with greater efficiency and confidence. By leveraging the copilot's insights, teams can optimize development processes, reduce errors, and deliver higher-quality solutions. By continuously evolving this tool, we aim to transform how developers interact with Veeva Systems, driving innovation and success within the Veeva ecosystem. #AI #AIforPharma #HealthTech #PharmaDevTools #Veeva #VeevaDevelopment #AIcopilot #LifeSciencesTech #VeevaSDK #PharmaIT #AIProductivity 

In a previous post, I introduced an AI-driven solution to streamline Veeva Systems development by tackling its extensive documentation. I'm excited to share significant improvements to our StackAI powered copilot, now specifically engineered to extract knowledge from Veeva Systems SDK documentation and provide developers with precise, timely answers. Key Advancements: 1. Intelligent Query Answering: The copilot now offers accurate, informative responses to developer inquiries, leveraging insights directly from Veeva's vast knowledge base. 2. Proactive Solution Generation: Moving beyond simple answers, the copilot suggests potential solutions to complex development challenges, acting as a virtual problem-solving partner. 3. Real-World Use Case Guidance: To bridge theory and practice, the copilot provides concrete examples of applying Veeva functionalities in real-world scenarios, boosting developer learning and productivity. These enhancements empower Veeva developers and consultants to tackle intricate projects with greater efficiency and confidence. By leveraging the copilot's insights, teams can optimize development processes, reduce errors, and deliver higher-quality solutions. By continuously evolving this tool, we aim to transform how developers interact with Veeva Systems, driving innovation and success within the Veeva ecosystem. #AI #AIforPharma #HealthTech #PharmaDevTools #Veeva #VeevaDevelopment #AIcopilot #LifeSciencesTech #VeevaSDK #PharmaIT #AIProductivity 

In a previous post, I introduced an AI-driven solution to streamline Veeva Systems development by tackling its extensive documentation. I'm excited to share significant improvements to our StackAI powered copilot, now specifically engineered to extract knowledge from Veeva Systems SDK documentation and provide developers with precise, timely answers. Key Advancements: 1. Intelligent Query Answering: The copilot now offers accurate, informative responses to developer inquiries, leveraging insights directly from Veeva's vast knowledge base. 2. Proactive Solution Generation: Moving beyond simple answers, the copilot suggests potential solutions to complex development challenges, acting as a virtual problem-solving partner. 3. Real-World Use Case Guidance: To bridge theory and practice, the copilot provides concrete examples of applying Veeva functionalities in real-world scenarios, boosting developer learning and productivity. These enhancements empower Veeva developers and consultants to tackle intricate projects with greater efficiency and confidence. By leveraging the copilot's insights, teams can optimize development processes, reduce errors, and deliver higher-quality solutions. By continuously evolving this tool, we aim to transform how developers interact with Veeva Systems, driving innovation and success within the Veeva ecosystem. #AI #AIforPharma #HealthTech #PharmaDevTools #Veeva #VeevaDevelopment #AIcopilot #LifeSciencesTech #VeevaSDK #PharmaIT #AIProductivity