// State-Externalizing Harnesses // A new paradigm is emerging on how to effectively build agents and harnesses. If there is a state that the environment can maintain reliably, it probably doesn't belong inside the policy. Move it into the harness, and a 20B model trains
AGENTS
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Scale back expectations and resist AI agentic FOMO
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We all need to scale back our expectations and not giver in to AI agentic FOMO.
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LangSmith Fleet Template: TavilyAI Competitor Research Agent
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LangSmith Fleet template spotlight: @TavilyAI Competitor Research Researches companies and summarizes findings in a concise report. A research agent that takes a list of company names, digs deep across the web, and drops findings straight into Slack threads. Try it today:
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Most AI Agents Fail in Production Because They’re Built Backward
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Most AI Agents Fail in Production Because They’re Built Backward! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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AI Engineering Toolkit: 100+ Libraries for LLMs, RAG, AI Agents
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AI Engineering Toolkit! I have curated a list of 100+ libraries and frameworks for training, fine-tuning, building, evaluating and deploying LLMs, RAG, and AI Agents. Categories of LLM Libraries include: • Vector Databases – Store and retrieve embeddings efficiently.
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Proof Gradient: The Agent Evolution Protocol for AI Agents
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Proof Gradient · The Agent Evolution Protocol One agent tries.
Proof decides.
The network evolves. GoalOS gives the network Direction.
PlanOS gives it Strategy.
SkillOS gives it Capability.
The Proof Gradient gives it Evolution. https://
montrealai.github.io/proof-gradient/ #AGIALPHA #Jobs -
Ethical Guardrails for Autonomous AI Systems in Business
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⚖️ AI is starting to think for itself—and that raises big ethical questions. In this episode, I explore how we can keep agentic AI systems transparent, fair, and aligned with human values.
— Bernard Marr (@BernardMarr) 2 juin 2026
🌍 Learn the essential guardrails every business should know before deploying autonomous… pic.twitter.com/CsIM19miGMAI is starting to think for itself—and that raises big ethical questions. In this episode, I explore how we can keep agentic AI systems transparent, fair, and aligned with human values. Learn the essential guardrails every business should know before deploying autonomous
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LangSmith automates agent development lifecycle continuously
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The agent development lifecycle has been manual for too long.
— LangChain (@LangChain) 2 juin 2026
We’re building a future where it runs continuously, without manual triggers.
Where well-understood issue types resolve without human review.
Where your harnesses get smarter about your agents over time.
LangSmith… pic.twitter.com/10OwQHAciTThe agent development lifecycle has been manual for too long. We’re building a future where it runs continuously, without manual triggers. Where well-understood issue types resolve without human review. Where your harnesses get smarter about your agents over time. LangSmith
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Learn AI Engineering: 435 Lessons, 320h, Python, Rust, MCP, Free
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Learn AI engineering from scratch with this repository: → 435 lessons
→ 320 hours of content
→ Python, TypeScript, Rust…
→ Prompts, skills, agents, and MCP servers Practical exercises in each lesson
100% open source
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Built own AI to watch X, AI replies took fun out
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Oh I built my own AI to watch X: https://
alignednews.com/ai I think the AI replies are really what took the fun out of it.