Claude’s risk analysis, DeepSeek’s data depth, Qwen3’s clarity The new analyst team isn’t human. It’s multimodal and distributed.
AGENTS
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Similar ideas but MCPs disrupted the workflow
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haha sounds like we’ve been playing with similar ideas. haven’t figured it out quite yet and MCPs becoming standard kinda threw a wrench in my flow
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Performance optimization tradeoffs and the need for AI CRM systems
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if it’s for personal use, probably doesn’t matter too much as long as it’s somewhat fast and optimized. If you’re building a tool for lots of ppl I think it starts to matter more. kinda realized I need an AI CRM to build a helpful agent but the CRM is really just a way for me to
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Lumpenspace: Kind AI Agent with High Moral Standards and Punk Attitude
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Lumpenspace is really kind and has high moral standards standards for his interactions but he is also punk
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Challenge: o3 identifies street from Lorde’s ‘Hammer’ lyrics via SHA1 hashes
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o3 names street x mentioned in the lyrics of song y by solo female artist z, given the last four chars of the SHA1 hashes of x, y, and z. Note the answer for y — Lorde’s “Hammer” — was just released yesterday.
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Create AI-Powered D&D Dungeon Master with LangGraph Tutorial
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D&D AI Dungeon Master Tutorial Albert shows how to create an AI-powered D&D Dungeon Master using LangGraph. This tutorial combines graph-based AI agents with automated UI generation to bring your D&D games to life. Learn to build your own AI DM https://
youtu.be/amyMz1fXwoU -
Smart Health Agent: GPU-Accelerated Multi-Agent System for Real-Time Monitoring
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Smart Health Agent A GPU-accelerated multi-agent system providing real-time health monitoring with personalized insights. Built with LangGraph to orchestrate agents that process health metrics and environmental data. Check it out here https://
github.com/jayrodge/ai-ag
ents/tree/main/smart_health_agent
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Considering Reviving Old Podcast with RubyAI
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oh wow, yeah, that's really good. I was just listening to my old podcast with RubyAI thinking its time to bring her back. It wouldn't be so painful to stitch the audio together and clean the gaps out like it was previously.
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Production-Ready AI Agents: A Practical Guide with LangGraph
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Agents Towards Production Nir Diamant just released a practical guide for building production-ready AI agents. This open-source playbook features tutorials using LangGraph for workflows and LangSmith for observability, plus essential production features. Check it out
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AutoAgent: Zero-Code LLM Agent Framework with Natural Language
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Build and deploy LLM agents just using natural language! AutoAgent is the Fully-Automated & Zero-Code LLM Agent Framework that let's you create and deploy LLM agents using just natural language. 100% Open Source