MCP servers turn your documentation into something AI assistants... can actually build with, not just read. Join our AI Engineer, Anand Patel, for office hours on Feb 18 at 11AM PT to learn how to generate MCP servers from ReadMe, define custom tools, control endpoint access, and let AI execute real API calls. Register at the link in comments.show more

What if AI didn't just analyze markets, but executed... your full strategy from news alpha to DEX swaps? Launching Gate for AI: The widest MCP toolkit connecting Exchange, DEX, Wallet, News, and Info into one intelligent workflow. 5 modules for end-to-end automation: Data → strategy → execution → risk → review with real liquidity & AI-native calls Explore now: Learn more:show more

Our new Google AI Professional Certificate from #GrowWithGoogle features... 20+ hands-on labs designed to help you use AI as a partner in your daily work. You’ll learn how to: ✔️ Build project plans and daily workflows ✔️ Vibe code custom AI applications for your job ✔️ Generate custom marketing and creative assets ✔️ Develop data-backed market researchshow more

We are now live! NoelClaw The Runtime layer for... agentic AI Robinhood Chain. Your AI remembers, keeps working, and survives every session. Most AI assistants disappear when the conversation ends. Noelclaw gives them persistent state - memory that accumulates, agents that keep running, vaults that version knowledge, and workflows that continue after you close the chat. Instead of starting from scratch every conversation, your AI can remember, research, automate workflows, spawn agents, and keep working long after you close the chat. Connect MCP servers, build reusable skills, deploy persistent agents, and bring your AI into the real world. CA: 0x842245B92b3932Aa8E759A1dAc1eb5ce10cC4f0e website : app : npm : docs : github :show more

Today we're shipping the governance layer enterprise AI was... missing. Every organization running AI at scale faces the same choice: turn off AI connections to tools entirely, or let agents have full access to everything. Today we're launching a better path: precise control over connections, actions, and models across every surface. The goal is simple: IT gets visibility and control, teams keep building, no approval queue in between. 6 new capabilities in Zapier today: 1. Action restrictions at the endpoint level 2. Managed app connections with domain control 3. Bring your own model through AWS Bedrock 4. A queryable audit trail 5. Agents GA with MCP governed across every surface 6. Workspaces (GA later this quarter) One set of rules for your entire AI stack. Try it now. If you've had early access, let me know what you think.show more

PowerPoint, Word, and Excel just got Grok agents in... their sidebars. A useful place to put an AI with internet access, 𝕏 data, image generation, diagrams, app connections, and MCP servers. One prompt can become a deck. One prompt can become a doc. One prompt can become a sheet. The sidebar went from “tiny menu nobody opens” to “please build my whole thing.” Grok xAI / Writer: Annette, Designer: Jannéshow more

GLM 5.3 is FREE right now and you can... actually use it. you can access it through ZenMux with a free API key, and Z. ai is also offering free access rn. you get: - GLM 5.3 - 1M context window - Up to 128K output - Tool calling + MCP - Free API access ZenMux currently lists GLM 5.3 at $0 for both input and output. to get started: > Go to > Create an account > Generate an API key > Use as the base URL > Select z-ai/glm-5.3-free you can also test GLM 5.3 directly at free access can change, so this is worth testing while it’s availableshow more

Postman's AI-readiness Playbook is one of the most important... documents you can read today as a developer! We are headed into an era where every website must be "Agent-ready". - Agents will make purchases, not humans. - Agents will find the best options, not humans. - Agents will fill out job applications, not humans. The same applies to APIs. While human devs can hustle through poor docs and broken endpoints, most Agents can’t (yet). They need: - Predictable structures - Machine-readable metadata - Standardized behavior Postman's 90-day AI readiness playbook details how to turn your APIs into reliable, AI-ready tools. My two biggest takeaways from the Playbook: 1) Automatic documentation (Week 3): Once you standardize your API format, Postman’s Spec Hub automatically generates and validates API docs for both humans and AI agents without any manual work. 2) Seamless AI tooling (Week 9): Turn your validated specs into hosted, function-style endpoints, letting AI agents invoke your APIs like native commands. Find the link to the Playbook in the comments. Thanks to the Postman team for partnering on today's post!show more

In action at Dell Technologies World: the modern data... center, built for how AI actually runs. Not just faster infrastructure, but smarter decisions: - Predictable cost - Clear governance - Workload placement across hybrid environments From deskside to data center, this is how enterprises turn AI into real outcomes.show more

TrendTrack API & MCP are live Connect it to... Claude, GPT, Gemini or any tool you already use. What you can pull : Winning ads before they saturate Scaling stores before everyone spots them Email campaigns from your competitors Hooks that are converting right now Everything you see on TrendTrack can now be extracted and processed by AI. How to use it ? API → integrate TrendTrack data directly into your tools, dashboards, or custom apps MCP → connect TrendTrack to any LLM. Claude, GPT, Gemini, Perplexity. Ask a question, it pulls the data itself, responds in real time Start building now →show more

What starts as reality transforms into something almost indistinguishable... from the real world… but is it AI or human? 🤔 Would you trust AI versions of people in movies, virtual assistants, or even influencers? From reality to something more. Watch as AI enhances every detail without losing what makes it real. We're making it easy to create your digital twin with AI. This isn’t just a replica. It’s an evolution. How far can technology take us? Comment below! 👇show more

What if creating AI was as easy as posting... content? ➜ Theoriq is here to shake up AI. It’s not another walled garden this protocol lets you build, stack, & evolve AI agents that actually talk to each other. Fully composable, fully decentralized. It’s built to grow with tech, powered by the community & open to devs, creators, and anyone who wants in. You can build with no code tools, help govern the protocol or earn by staking on powerful agents. It’s collective intelligence with real ownership Not just AI you use AI you shape. If you’re about building the future, Theoriq’s your arena.show more

Ready to bring AI into the physical world? 🤖... Join our livestream on Tuesday, August 11th at 9:00am PT to learn how to: 🧠 Run and fine-tune NVIDIA GR00T 1.7 🔗 Connect models, sensors, and actuators with ROS 2 🦾 Deploy a model on the SO-101 robot arm to execute a real-world task 🎙️Guest speaker Nikodem Bartnik will also share the latest advances and highlights from the open-source robotics community. Add to calendar:show more

We’re launching the Latch MCP and announcing its availability... within Claude Science, Anthropic’s new AI workbench for scientists. AI for biology requires agent-native infrastructure: systems where agents can store, process, and visualize large molecular datasets from the interfaces scientists already use. Biological analysis workflows often require substantial compute. Retries or incorrect long-running tool calls can quickly inflate workflow time and cost, especially when analyses take hours or days to complete. These tools should also be curated with appropriate parameters and agent-readable documentation, ideally provided by the original assay developer, to support correct use across many complex scientific contexts. At Latch, we’ve seen customers of our Solution Provider partners, including TakaraBio, Vizgen, and AtlasXOmics, use both the Latch Agent and external harnesses like Claude Code and Cursor to accelerate analysis of their data. The Latch MCP is a remote MCP server that securely connects agent harnesses to the Latch platform, giving agents access to verified bioinformatics tools built and maintained by kit and instrument providers. Agents can navigate data on Latch and launch existing deployments of validated bioinformatics workflows to analyze that data.show more

Stop...Your AI shouldn’t sit in a sidebar. It should... actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look likeshow more

PhD Students - How to detect AI text in... your writing? We often use ChatGPT for writing. However, this leads to AI-plagiarized text. This can be problematic in many scenarios. For example, if you use AI text in your papers. Your research paper can get desk rejected. 🍁How to detect if there is AI text in your writing? 1. Go to and log in. 2. Click on 𝐴𝐼 𝑑𝑒𝑡𝑒𝑐𝑡𝑜𝑟 from the left menu 3. Insert your text and click on 𝐴𝑛𝑎𝑙𝑦𝑧𝑒. 4. will generate AI detection report This report shows the following. → Percentage of AI generated text → Options for converting AI text into non-AI text 🍁How good is this AI detector? SciSpace conducted a benchmarking study. In this study, the detection capability was compared with other AI-detectors. SciSpace AI detector was tested with 4000 samples. It showed an accuracy of 96%. This means it can detect AI-generated text with 96% accuracy. The study showed that SciSpace AI detector has outclassed AI detectors like GPTZero, ZeroGPT, and Grammarly. 🔴Anything you'd like to add?show more

Turn complex docs into clean, LLM-ready data! Every AI... company I've talked to is solving the same problem: how do you build systems that don't hallucinate and back up every answer with proper citations? Tensorlake is a tool that extracts custom-defined structured data from any unstructured document in 3 steps: ↳ Define your schema ↳ Enable citations ↳ Extract You get RAG-ready data with precise citations and bounding boxes. Feed this to your LLM, and you'll generate responses that are citation-backed and fully auditable. This is the difference between a demo and a production system. When your AI can show exactly where it got its information, you move from proof-of-concept to something people can actually trust and deploy. I've shared the Tensorlake GitHub repo in the replies!show more

“Mom, can you read my essay?” A routine question... for some students, and not always an option for others. In a recent AI workshop, with a great group of educators, I shared how AI can be used to help students with helpful feedback on their work and writing. Through an equity lens, this use allows students to receive valuable assistance, who may otherwise not have support at home. AI can help to level the playing field for all students, regardless of whether or not they have support available at home. #ai #ArtificialInteligence #aiinedu #aiineducationshow more

How to build a viral Web3 app in an... afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!show more

About Siri AI and EU: 1. Your data (gallery,... messages, email, call logs, notes, files, and much more) is indexed for personal context, and that info is stored on your iPhone. 2. When you use Siri AI, the request is either handled on-device or in cloud using PCC. It’s never stored or logged on Apple’s servers. Apple does not have access to it. Now, according to Apple, here’s what EU wants: “According to EU regulators, the DMA requires Apple to give any AI system nearly unlimited access to a user’s device, as well as the ability to act on that access autonomously without a user’s ongoing visibility and control. That includes the ability to read and send messages, make purchases, access files, and execute actions across any app.” What EU is asking is scary dangerous. And apparently they have rejected all the solutions proposed by Apple. And, as hinted by Joz, “We will NOT compromise on privacy and security”, Apple is likely not going to give up, so EU users are likely not going to get Siri AI anytime soon.show more