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Aaron Perkins@perkinsaaronwAI score22AIBoardroom is a free, open-source tool that lets users hold real-time meetings with their AI agents instead of relaying messages between them. The creator says it launches today on Product Hunt.
OpenAI Developers@OpenAIDevsAI score33AIOpenAI says composer predictions in Codex is now in beta for Pro users. The feature suggests a user's next message based on their conversation and how they phrase requests. OpenAI calls it one of the most loved features its team has tested internally.
eric zakariasson@ericzakariassonAI score23AICursor's Eric Zakariasson tells the bot to claim its email address. The bot can use the address to sign up for services, contact businesses, and schedule meetings for users.
ClaudeDevs@ClaudeDevsPickAI score60AIAnthropic's ClaudeDevs account says it has let in every Pro and Max user from the Claude Code Projects waitlist. The post links a 4-minute walkthrough video for new users getting started with the feature.
Why it matters: The post shows Claude Code Projects access opening to Pro and Max users from the waitlist, with a walkthrough for new users getting started.
ClaudeDevs@ClaudeDevsAI score32AIAnthropic says a Claude project is an ongoing conversation in which Claude coordinates work and runs each task as its own thread in parallel. Documentation is available at
Fireworks@FireworksAI_HQAI score22AIFireworks AI says Jessy Lin, co-founder of EngramLab, will speak at Fireworks Forge on building agents with native memory stored in model weights as well as context. The event is on November 3 in San Francisco.
Ado@adocompleteAI score15AIAdo Kukic says he has been building his own infrastructure and plans to share repos for two apps soon. The apps are Ark, an agent-native PaaS, and Via, an agent-native reverse proxy with LLM and MCP gateways.
lauren@potetoAI score22AILauren Tan's post says users can ask their bot, or tag @bot on X, to set up the bot's email address for it. The @bot background post says the Grok bot now has its own email, which it can use to sign up for services, contact businesses, or schedule time with someone.
AITesla has renamed its "Full Self-Driving (Supervised)" system in Europe to "Assisted Driving" after Germany's Federal Ministry of Transport called the branding "somewhat misleading." The ministry said the system does not take over the entire driving task and that drivers must remain attentive at all times. The package still carries the Full Self-Driving (Supervised) name in the U.S., where it costs $99 per month.
Elon Musk@elonmuskAI score16AIElon Musk announces that Grok Bot can now set up its own email. The post does not give further details on how the setup works or which email provider is used.
Grok Bot@botAI score38AIGrok Bot now has its own email address. The bot can use it to sign up for services, contact businesses, or schedule time with someone.
Allie K. Miller@alliekmillerAI score18AIAllie K. Miller says her Dot assistant has caught scheduling conflicts, missing meeting information, and important billing notices for her. She warns business leaders not to rely solely on proactive AI to catch errors as it becomes more common, noting she can already see herself falling into that trap.
v0@v0AI score30AIv0 announces a teams version that lets members see what teammates are working on, join their chats, and build together. The post gives no pricing, availability date, or plan details.
elvis@omarsar0AI score62AIElvis Saravia says he has tested StepFun's Step 5 Preview as a coding agent since early access and found that it checks its own work and stops when tasks are done. The post says the model is built for engineering tasks such as bug fixing, multi-file features, and refactoring, plus frontend generation and financial report output.
Modal@modalAI score38AIScott Wu, at Runtime, says agents are moving from tab completion to "virtual employees" that own outcomes. He says frontier models may only need about 2% of workloads, with routing handling the rest. He says 91% of Cognition's internal Devin sessions start without a human.
LangChain@LangChainAI score34AILangChain says Managed Deep Agents 0.9 adds a Reactions API for Slack channels, letting developers build loading states and receipts. The developer can build these states using heuristics, decision models, or custom logic.
SemiAnalysis@SemiAnalysis_AI score22AISemiAnalysis says NVIDIA's Rubin delivers 3.2x better profit per gigawatt and up to 10x better performance per dollar than GB300 NVL72 on the vLLM production LLM engine. The post is the first of a three-part thread that will explain the results.
Google Workspace@GoogleWorkspaceAI score28AIGoogle Workspace announces Ask Gemini in Google Chat, powered by Workspace Intelligence, which acts as a context-aware command center. The feature summarizes updates, surfaces to-dos, searches a team's knowledge base, and manages tasks such as scheduling and creation.
AIMeta's Muse AI agent has millions of users and can handle tasks from refunds to insurance shopping. Its broad access to personal data has already led to some unnerving mistakes, according to Fast Company.
Microsoft Copilot@MSFTCopilotAI score30AIMicrosoft says the new Copilot Home brings Chat and Cowork into one experience, so users can move from thinking to doing without losing context. Microsoft Copilot EVP Jacob Andreou explains why Home is the new starting point for work.
AILangChain's Managed Deep Agents v0.9 adds a reactions attribute for Slack channels that accepts either an emoji string or a callable returning one. The article shows a function that returns a bug emoji when a message contains "broken" and eyes otherwise. It also shows a TypeSafe Classifier that picks from a seven-emoji vocabulary and falls back to eyes below 25% confidence.
AIThe Trump administration announced a voluntary agreement with major AI companies calling for internal safety monitoring, external audits, and independent board reviews, and the Federal Trade Commission launched an investigation into OpenAI, Anthropic, and other AI companies over potential consumer risks. OpenAI released Dots, a proactive assistant that retains context, works across applications, and acts without waiting for prompts. Google says Gemini 4 Argon can generate up to a million output tokens in a single response.
🚨 AI News | TestingCatalog@testingcatalogAI score41AIPine AI launched Pine Computer, a cloud computer, harness, and runtime layer built for agentic tasks. On the publisher's SaaS-Bench v1.1, it posts a 78.3% checkpoint score against 74.3% for Opus 5 with Claude Code, but completes fewer whole tasks, 27.4% against 31.1%. Instead of simulating clicks and screenshots, it reads web pages as structured data, and access is through a private beta waitlist.
🚨 AI News | TestingCatalog@testingcatalogAI score62AIAnthropic has expanded dynamic workflows in Claude Managed Agents into a public beta, according to Testing Catalog. Users can configure their agents for multiagent orchestration, with Claude planning and operating a fleet of agents to achieve a goal. The post also links a video from Anthropic's ClaudeDevs account, which the author describes as a new SWE norm.
Santiago@svpinoAI score44AIPine has released a cloud computer service with a built-in AI agent that applications can control through its SDK. Developers give the agent a plain-English task, and it can use a browser, files, and a shell while the app receives notifications and final outputs. Pine's Stanley Wei says the computer is built for AI rather than humans.
François Chollet@fcholletAI score32AIBusabase releases an MIT-licensed open-source database and workspace that lets AI agents write results to a shared, structured space instead of isolated chat histories. The tool turns agent outputs into reusable data, documents, and skills that a whole team can access.
merve@mervenoyannAI score28AIHugging Face launches an arena where users bring their own agent, which gets Nebius GPUs to build RL environments that improve Qwen3.8-27B across eight domains. The arena runs on PostTrainArena from BenchFlow, with compute from Nebius. Setup requires only a few steps through the linked OpenEnv Arena space.
ClaudeDevs@ClaudeDevsPickAI score60AIAnthropic's ClaudeDevs account announces that dynamic workflows for Claude Managed Agents are now available in public beta. The feature is a new type of multiagent orchestration in which a lead agent writes a plan that runs across many agents in phases, then combines their results at the end.
Why it matters: The post describes how a lead agent plans work across many agents in phases and merges their results, a structure useful for understanding complex agent orchestration.
ClaudeDevs@ClaudeDevsAI score37AIAnthropic planted 70 bugs in a 116k-line codebase and tested two approaches over three runs. A single agent found 14, 15 and 27 bugs, while a workflow found 66 bugs in each run.
ClaudeDevs@ClaudeDevsAI score46AIAnthropic's ClaudeDevs says users can configure an agent with multiagent type multiagent_20261001 and ask Claude to run a workflow. Claude writes the plan and orchestrates up to 1,000 agents per run.
ClaudeDevs@ClaudeDevsAI score36AIAnthropic says dynamic workflows are powerful but can use many tokens, so users should start with a scoped task and increase complexity gradually. It points to the /claude-api managed-agents-onboard bug-hunter command in Claude Code and to templates at
Perplexity Developers@perplexitydevsAI score34AIPerplexity Developers says its new cookbook builds a browser agent that sends a screenshot and questions to pplx-decider-v1.1-27b through the Decisions API, which accepts text and image inputs. The developer's code converts the returned probabilities into clicks, scrolls, and stops.
elvis@omarsar0AI score34AIElvis Saravia says AI models are already smart, but they need better harnesses and environments, with major cost implications. He recommends reading a report on how Pine Computer can help teams, and says he will test it himself and share more later. The quoted post from Stanley Wei argues that real-world AI tasks remain slow, expensive and unreliable because AI runs on computers built for humans, and announces Pine Computer.
Dongxi NLP@dongxi_nlpAI score46AIOwain Evans's team reports that models can transfer more complex traits than owl preferences through training data, including novel skills, agentic hacking, and backdoors. In the new paper, a backdoor transfers even though neither the trigger nor the backdoor behavior appears in the training data.
dex@dexhorthyAI score40AIDex Horthy says the share of tasks that can be one-shot without strict process has grown, but alignment, grilling, and planning workflows still matter. He argues that heavy planning on small tasks makes developers feel slower, and predicts tools will add escape hatches so humans or models can decide to ship directly. He adds that as model capabilities improve, the "smart zone" has grown to roughly 200k–400k tokens, and HumanLayer is prototyping research-to-implement and research-to-short-design-to-implement workflows.
LangChain@LangChainAI score33AILangChain says it simplified agent authentication, memory, and channels, and added web search as a pre-built tool for Managed Deep Agents. The post links to a session by Victor Moreira at Interrupt NYC that offers a closer look at the changes.
LangChain@LangChainAI score16AILangChain says its Interrupt archive is available, with every session watchable on-demand at Context from the quoted post: LangChain simplified agent authentication, memory, and channels, and added web search as a pre-built tool for Managed Deep Agents.
Replit ⠕@ReplitAI score22AIReplit's X account shares a showcase of TikTok Ads MCP, which runs TikTok Ads from Replit. The post is a broadcast link with no further details on features, pricing, or availability.
Atai Barkai@ataiiamAI score52AIAtai Barkai announces Open Intelligent UI, a template for adding interactive generative UI to any agent-based product. It supports a team's own design system, components, and real data and actions, and is available on Web, Mobile, and Slack, powered by CopilotKit and AG-UI. The code is at
Keith@gnukeithAI score18AIThe poster introduces Rei-v1, the first model they have trained, describing it as a tiny model that makes decisions for research agents. The post says it performs best on anime, programming, and academic research. Model weights are linked on Hugging Face.