Could it have been built solely with llm+tools/mcp as the product? Everything I build with vibes gets overbuilt by default and finding myself thinking of how much to strip back to just llm plus tools. It’s worked perfectly for a couple of things I tried but ofc depends on if
AGENTS
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Linear MCP Server Enables Agentic Task Automation
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The linear remote MCP server is great. It connected to @Lutra_AI seamlessly and we are now able to do agentic tasks like "Get me all tickets closed in the last week, summarize and put in a google doc, slack to # marketing every friday" Super cool.
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Lutra_AI Now Supports MCP Server Integration
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@Lutra_AI supports this today as well! Just put in a MCP server URL and it works, come try it!
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Google Agentspace for AI-driven productivity automation
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Google Agentspace: The New Productivity Revolution It's transforming how I work daily. • Automate tasks • Enhance team collaboration • Streamline workflows Click below to read more: https://
godofprompt.ai/blog/google-ag
entspace-the-new-productivity-revolution
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Training signals amplified: from hunting buffalo to factory farms
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Eg: Hominid training signal included hunting a few buffalo, hominids acquire internal meat preference, humans build huge factory farms.
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Zuckerberg: Meta AI Friends to Fill Social Demand Gap
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Traduis en 🇫🇷
— VISION IA (@vision_ia) 2 mai 2025
Zuckerberg expliquant comment Meta crée des amis IA personnalisés pour compléter vos amis réels : "L'Américain moyen a 3 amis, mais a une demande pour 15." pic.twitter.com/vGKHNb91l8Traduis en Zuckerberg expliquant comment Meta crée des amis IA personnalisés pour compléter vos amis réels : "L'Américain moyen a 3 amis, mais a une demande pour 15."
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OpenAI Releases Practical Guide to Building AI Agents
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La page où vous pouvez le retrouver : https://
openai.com/business/guide
s-and-resources/
… et le lien direct : http://
cdn.openai.com/business-guide
s-and-resources/a-practical-guide-to-building-agents.pdf
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Extreme PyTorch: ML Workloads and AI Agents Challenges
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writing out my Keynote at @MLSysConf this year and I'm pretty excited!
"Extreme PyTorch: Inside the Most Demanding ML Workloads—and the Open Challenges in Building AI Agents to Democratize Them" -
PDF RAG Agent with Agno and Milvus Vector Database
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PDF RAG Agent using Agno and Milvus!
— Sumanth (@Sumanth_077) 2 mai 2025
I’ve built a PDF RAG agent that pulls context from indexed PDF files stored in a local vector database.
If needed, it can fall back to web search to provide more relevant answers.
100% open source. Here's a step-by-step guide: https://t.co/IjNO8yT8oq pic.twitter.com/pJCy2vFyCPPDF RAG Agent using Agno and Milvus! I’ve built a PDF RAG agent that pulls context from indexed PDF files stored in a local vector database. If needed, it can fall back to web search to provide more relevant answers. 100% open source. Here's a step-by-step guide:
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Custom GPTs Drive Enterprise AI Adoption for Non-Technical Users
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Best way to drive adoption in enterprises. Distinct, personalized use cases built as GPTs makes AI make approachable and actionable, especially for less tech / AI savvy users.