Train multi-step LLM agents with just a few lines of code! Agent Reinforcement Trainer (ART) let's you train LLM agents using reinforcement learning. It makes it easier to build multi-step, reliable agents for real-world tasks using GRPO. 100% Open Source
AGENTS
-
NVIDIA, AWS and DeepLearning.ai push agent-focused courses
By
–
The fact that NVIDIA, AWS, and http://
DeepLearning.ai are all pushing agent focused courses says a lot. -
Build your own agent tools with one prompt in ChatGPT plus n8n
By
–
Forget waiting for agent tools to catch up. Build your own.
With 1 prompt.
In ChatGPT + n8n. -
GPT, n8n, and Claude: best way to deploy AI agents
By
–
Why it works: → GPT designs your agent like a senior engineer
→ n8n gives you total flexibility (logic, memory, APIs, webhooks)
→ Claude/ChatGPT does the reasoning + decisions It’s the cleanest way to deploy real AI agents today. -
Building AI Curators, Lead Qualifiers, and Auto-Reply Agents with Claude and n8n
By
–
I used this to build:
— God of Prompt (@godofprompt) 1 septembre 2025
✅ A Reddit → Claude → Telegram AI curator
✅ A lead qualifier that scores and routes inbound leads
✅ An auto-reply agent that summarizes emails + drafts responses
✅ A daily content reposter from Notion to Twitter
All powered by Claude + n8n.
No… pic.twitter.com/19WNgKQ3TsI used this to build: A Reddit → Claude → Telegram AI curator A lead qualifier that scores and routes inbound leads An auto-reply agent that summarizes emails + drafts responses A daily content reposter from Notion to Twitter All powered by Claude + n8n. No
-
Mega prompt for building AI agents in n8n
By
–
Here’s the actual mega prompt (steal it): You are a senior automation architect and expert in building complex AI-powered agents inside n8n. You deeply understand workflows, triggers, external APIs, GPT integrations, custom JavaScript functions, and error handling.
-
Using ChatGPT to generate n8n workflow architecture and nodes
By
–
The system: 1. I open ChatGPT
2. Paste in 1 mega prompt
3. Describe what I want the agent to do
4. GPT returns: • Architecture
• n8n nodes
• Triggers
• LLM integration
• Error handling
• Code snippets 5. I follow the steps in n8n. Done. -
Build AI agents with n8n via a ChatGPT prompt
By
–
If you want to build AI agents using n8n, do this: Copy and paste this prompt into ChatGPT and watch it build your agent from scratch. Here’s the exact prompt I use
-

xAI Launches Grok Code Fast 1 for Agentic Coding Tasks
By
–
xAI introduced Grok Code Fast 1, a fast reasoning model for agentic coding tasks
— The Rundown AI (@TheRundownAI) 1 septembre 2025
It uses a lightweight architecture for cost efficiency and is strong in TypeScript, Python, Java, Rust, C++, and Go
Free on agentic coding platforms for a limited timepic.twitter.com/iXcFS3MobexAI introduced Grok Code Fast 1, a fast reasoning model for agentic coding tasks It uses a lightweight architecture for cost efficiency and is strong in TypeScript, Python, Java, Rust, C++, and Go Free on agentic coding platforms for a limited time
-

AI Autonomously Critiques Methods and Performs Advanced Statistical Analysis
By
–
The fact that my only prompt was "critique the methods of this paper, figure out better methods and apply them" and that it spontaneously checked the relationships in my tables, ran monte carlo simulations on my point estimates and did sensitivity analyses was kind of nuts,
