A great opportunity to learn the Agent Development Cycle with @hwchase17
AGENTS
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Enable Gemini to summarize, write, translate, analyze
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1. Gemini, already integrated. Press and hold the home button or swipe up from a corner. A real AI opens, not the old assistant. Ask it to summarize a page you're reading, write an email, translate a sign, or analyze a photo. It was
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Initial deployment: small step, essential repeatable improvement cycle
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One thing we have observed quite consistently: deploying the first version is only a small part of the work. A key part of building reliable agents is having a repeatable lifecycle to improve them over time.
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AI agent gets phone number and voice with AgentPhoneHQ
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Get your AI agent a phone number.
— Robert Scoble (@Scobleizer) 23 juin 2026
Visited @manav2modi, founder of @AgentPhoneHQ which makes a phone number and a voice to answer it.
For your agent in seconds. pic.twitter.com/MQh2GknirDGet your AI agent a phone number. Visited @manav2modi
, founder of @AgentPhoneHQ which makes a phone number and a voice to answer it. For your agent in seconds. -
Automating post-training with continual learning and OPSD-RL interpolation
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on a technical level it feels like we're automating post-training we want to take a bunch of data and output a post-trained model – then iterate this process many times. continual learning by induction the ideal algorithm is an interpolation of OPSD and RL with a lot of
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Thousands of agents in loops overnight is not everyone’s reality yet
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"this is just how engineering is done now" is doing a lot of work haha, thousands of agents in loops overnight is his reality, not exactly everyone's yet.
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Latitude groups repeated failures with frequency and reason
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Been waiting for someone in agent observability to do this properly. Latitude doesn't just hand you traces.
— Chubby♨️ (@kimmonismus) 23 juin 2026
It collapses repeated failures into one issue with frequency and reason, and lets you search production conversations in plain English.
Open source, MIT licensed,… https://t.co/8ehTAM7rzqI was waiting for someone in agent observability to do this correctly. Latitude doesn't just give you traces. It groups repeated failures into a single problem with frequency and reason, and allows you to search production conversations.
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Learn Vercel’s new Eve agentic framework with hands-on labs
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Learn to use the new eve agentic framework from Vercel.
— DAIR.AI (@dair_ai) 23 juin 2026
Go try out the hands-on labs now. https://t.co/mC5nsSUNOeLearn to use the new eve agentic framework from Vercel. Go try out the hands-on labs now.
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LangSmith Fleet: Two Types of Agents, General and Specialized
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LangSmith Fleet offers two types of agents: General-Purpose Chat and Specialized Agents. An analysis of why this choice is deliberate and the use cases for each.
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Latitude: open-source platform for monitoring AI agents in production
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Latitude is released as an open-source, MIT-licensed platform for monitoring AI agents in production, letting users surface what an agent does once it meets real users, catch recurring failures, and route fixes back into the editor.
— 🚨 AI News | TestingCatalog (@testingcatalog) 23 juin 2026
Users can cluster thousands of live… https://t.co/EkRDGxX0Yy pic.twitter.com/p5ALx8rvpzLatitude is released as an open-source platform under the MIT license for monitoring AI agents in production, allowing users to highlight what an agent does once it encounters real users, to detect recurring failures and