The Gen AI Playbook for Organizations by Bharat Anand and Andy Wu in Harvard Business Review.

My thought on AI agentic frameworks

About Gemini 2.5 from Google DeepMind — a family of models built for advanced reasoning, long context, and real agent workflows

#AISparks #Gemini25 #GoogleDeepMind #AIAgents #MultimodalAI #ThinkingModels #AIResearch #LLMs #FutureOfAI #AgenticAI

Discover the five Agentic AI design patterns — ReAct, CodeAct, Self-Reflection, Multi-Agent, and Agentic RAG — shaping how AI systems think, act, and collaborate.

Tune in to learn how these patterns are transforming simple chatbots into intelligent, autonomous teammates. 🚀

#AISparksPodcast #AgenticAI #AIDesignPatterns #AIAgents #GenAI #AIEngineering #ReActPattern #CodeAct #SelfReflectionAI #AgenticRAG #TechPodcast #AIExplained #FutureOfWork

SEAL framework from MIT research

Self-Adapting Language Models

Stanford’s AgentFlow gives AI agents a clear reasoning roadmap — boosting task success by up to 25% and making them think in structured, human-like steps.

It’s a big move toward AI that doesn’t just respond, but truly plans, learns, and evolves.

https://arxiv.org/pdf/2506.10943

#AISparks #AgentFlow #StanfordAI #AIResearch #AIAgents #GenerativeAI #ReasoningAI #LLMFrameworks #AIInnovation #ArtificialIntelligence #FutureOfAI #ContextEngineering #PromptEngineering #AgenticAI #AIEvolution

AgentFlow - IN-THE-FLOW AGENTIC SYSTEM OPTIMIZATION FOR

EFFECTIVE PLANNING AND TOOL USE

https://arxiv.org/pdf/2510.05592

Podcast about AI paper - Agentic Context Engineering: Evolving Contexts for Self-Improving

Language Models

https://arxiv.org/pdf/2510.04618

OpenAI AgentKit - Agent designer

Gen AI empirical software development

About Claude Agents