A modern AI helpdesk doesn't just answer. It acts. → Checks live store data
→ Follows your brand policies
→ Recommends products
→ Handles returns and order updates
→ Knows when to hand off to a human, with full context Across email, chat, SMS, WhatsApp, Instagram, and
SOFTWARE
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Modern AI helpdesk acts, not just answers
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ViiTor TTS: Fix audio sections without regenerating the entire recording
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The most expensive part of voiceover work is the redo.
— AI Highlight (@AIHighlight) 11 juin 2026
ViiTor TTS just killed it by letting you fix small sections of audio without regenerating anything else.
One recording, endless updates, launched today. https://t.co/Ng0iN8v3HJThe most expensive part of voiceover work is retakes. ViiTor TTS has just revolutionized this by allowing you to fix small sections of audio without regenerating anything else. A single recording, infinite updates, launched
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Inside look: fastest way to ship a production Deep Agent
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An inside look at the fastest way to ship a production Deep Agent
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Runtime Managed Deep Agents: durable threads, streaming, checkpoints, human intervention
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The Managed Deep Agents runtime supports:
— LangChain (@LangChain) 11 juin 2026
✅ Durable threads
✅ Streaming runs
✅ Checkpointing
✅ Human-in-the-loop workflows
You can also use the API to create agents, update their configuration, create threads, and stream runs from your own product or platform workflow. pic.twitter.com/mkLRDcJK2xThe Managed Deep Agents runtime supports: Durable threads Streaming executions Checkpoints Workflows with human intervention You can also use the API to create agents, update their configuration,
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Step-by-step repo to build and train a transformer LLM from scratch
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Train your own LLM from scratch! A step-by-step repo that walks you through building and training a transformer model from scratch using PyTorch. From downloading training data all the way to generating text. The architecture is built from the ground up following the original
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Agentic AI lacks standard protocol for sharing assets across platforms
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The agentic AI stack has standards for connecting tools and defining skills, but it still has no standard protocol to share assets across organizations and platforms. Today that means copying files, custom point-to-point integrations, and fragmented vendor-specific
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Top Prompt Engineering Books for AI in 2026
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Top Prompt Engineering Books for AI in 2026! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #NLProc #LLM #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
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Reinforcement Learning and Neural Networks for Big Data & AI
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#ReinforcementLearning and Neural Networks. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/RL-Neural-Netw
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Agent deployment now as fast as software; weeks of integration become hours
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agent deployment is finally starting to look like software deployment…
— SONIA (@S0N_IA_) 11 juin 2026
weeks of integration work becoming hours is the real unlock https://t.co/bDJKUVo3nU pic.twitter.com/fh5uqQf3oAagent deployment is finally starting to look like software deployment… weeks of integration work becoming hours is the real unlock
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LangSmith Engine solves problems, not just diagnoses them
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LangSmith Engine goes beyond the addressing and diagnosis of problems, and actually works to fix them.
— LangChain (@LangChain) 11 juin 2026
A 1 minute explanation from @bentannyhill pic.twitter.com/ae6v1oBqOCLangSmith Engine goes beyond simply processing and diagnosing problems, and actually works to solve them. A 1-minute explanation by @bentannyhill