50 Steps to Master #AgenticAI in 2025 – 2026
by @Python_Dv #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
AGENTS
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50 Steps to Master AgenticAI in 2025-2026
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ClickUp Brain AI Creates Autonomous Agents
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ClickUp's Brain AI will now be able to create agents on its own!
— 🚨 AI News | TestingCatalog (@testingcatalog) 21 juin 2026
> Brain now spots when a task is worth handing off and offers to build a dedicated agent.
> It ships preconfigured, with triggers, rules, and scope already in place.
> Work keeps moving after Brain finishes, with… pic.twitter.com/LdLPP3KhaPClickUp's Brain AI can now create agents autonomously! > Brain now detects when a task should be delegated and suggests building a dedicated agent. > It comes preconfigured with triggers, rules, and scope already in place. > The
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Claude AI self-optimizes upon discovering voice harness
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I met a guy last night building a next-level voice harness. He hooked Claude up to it and it realized quickly the way the voice model worked and optimized itself for that use.
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AI simulates user clicks on real hotel website
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Here's how it works: The one clever idea: the AI never searches the database or makes up hotels. It just decides what you want and then drives the real website UI for you — exactly as if you'd clicked the filters yourself. So every search runs through the same code as a
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Comparison of LLM, RAG, AIAgent, and MCP
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#LLM vs. RAG vs. #AIAgent vs. MCP
by @Python_Dv #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
2015 predictions come true: intelligent assistants and cooperative agents
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Des assistants intelligents avec qui on interagit en permanence, des agents qui coopèrent entre eux à notre service, la commoditisation de l'expertise…et bien d'autres prédictions qui avaient l'air complètement folles.
— Stephane Mallard (@StephaneMallard) 20 juin 2026
En 2015, beaucoup disaient que c'était n'importe quoi et… pic.twitter.com/24Donpi4xcIntelligent assistants we interact with constantly, agents cooperating among themselves for our service, the commoditization of expertise… and many other predictions that seemed completely crazy. In 2015, many said it was nonsense and
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Offline agentic exploration develops robot skills
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Great work using offline agentic exploration to develop robot skills! https://t.co/9JOJDpLohI
— Ken Goldberg (@Ken_Goldberg) 20 juin 2026Great work using offline agentic exploration to develop robot skills!
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Leve: filesystem-first durable agent framework built on LangGraph
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Very cool work from @jit_infinity:
— Harrison Chase (@hwchase17) 20 juin 2026
🔥Leve: filesystem-first, durable agent framework built on LangGraph.
You describe an agent as a directory of files. Leve compiles that directory into an agent and runs it
Inspired by Vercel's Evehttps://t.co/cfWpii90Yn pic.twitter.com/S7FhJEirITVery cool work from @jit_infinity
: Leve: filesystem-first, durable agent framework built on LangGraph. You describe an agent as a directory of files. Leve compiles that directory into an agent and runs it Inspired by Vercel's Eve https://
github.com/prasanjit101/L
eve
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Evolving Meta-Skill for Multi-Agent Systems Without Weight Changes
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// Evolving Meta-Skill for Multi-Agent Systems // Can a multi-agent system get better at orchestration without touching a single weight? Automatic MAS generation has been stuck between two bad options. Inference-time methods use frozen frontier models but never learn from past
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Complete course on agentic AI with LangChain and LangGraph
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One of the best courses on agentic AIs I have seen. Nearly 10 hours of excellent content. Covers LangChain, LangGraph, RAG, deepagents, guardrails, and more. Are there any other good Lang* resources for people interested in learning?