Weights & Biases launches unified docs platform with AI search and OpenAPI support

No-code changed the game by letting business users build apps. Now, AI-code is redefining it — where you prompt, not program. With Creatio 8.3 “Twin”, AI isn’t just assisting — it’s co-creating. The new AI-assisted no-code tools and Agent Builder allow non-technical users to design intelligent workflows, generate dashboards, and deploy AI agents… all through natural language and contextual awareness. This shift means: Faster solution delivery Fewer handoffs between business and IT Smarter, adaptive systems that evolve with data The line between “builder” and “user” is fading — and that’s exactly where innovation happens. #Creatio #NoCode #AIAutomation #DigitalTransformation #EnterpriseAI #LowCode

🚀 The AI Agent Builder Race Is Heating Up! Meet Open Agent Builder by Firecrawl — a new open-source visual workflow builder for AI agents. It’s part of a growing movement alongside Langflow, n8n, and OpenAI’s Agent Builder, all aiming to make agentic automation accessible to everyone — not just developers. 💡 Why Open Agent Builder stands out: 🔹 Drag-and-drop workflow design – similar to Langflow’s node system, but focused on real-time agent execution. 🔹 Native web scraping integration – powered by Firecrawl, ideal for research, analysis, and automation flows. 🔹 Human-in-the-loop control – add checkpoints for user approval or oversight. 🔹 Enterprise-ready backend – built with LangGraph, Convex, and Clerk for state, storage, and security. 🧠 Where it fits in the ecosystem: • Langflow → visual orchestration for LLM pipelines. • n8n → general-purpose automation platform. • OpenAI’s Agent Builder → cloud-native environment for GPT-based apps. • Open Agent Builder → bridges these worlds with open-source flexibility and data extraction power. 🔥 Use cases: ▫️Automated web research & intelligence ▫️Multi-agent collaboration flows ▫️Context-aware scraping & summarization ▫️AI assistants with conditional logic and approvals This is a big step toward a unified no-code agentic future — where AI workflows are as easy to design as flowcharts. 👉 Check it out: https://lnkd.in/g5f48A6m #AI #AgenticAI #OpenSource #NoCode #LowCode #Firecrawl #Langflow #n8n #OpenAI #AIBuilder #Automation #AIWorkflow

The tech I'm most excited about lately is the work in progress on blending the conversational text flow with specialized interactive UI elements. There are several players that are working on this lately, most notably: – MCP-UI, an open protocol for dynamic interfaces in conversational tools – OpenAI Apps-SDK, the specs to add specialized widgets in ChatGPT – Thesys, an API middleware to augment conversational interfaces https://mcpui.dev/ https://lnkd.in/dki6xtvG https://www.thesys.dev/ I expect more to come, and possibly also some contribution from myself 🙂 ––––––––––– Shameless plug: ✓ Run a boring tool (MCP ready) to automate GSlides: https://deckserve.com ✓ Build AI-assisted and agentic internal tools: https://eloquentops.com

𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐡𝐨𝐰𝐝𝐨𝐰𝐧: 𝐆𝐨𝐨𝐠𝐥𝐞 𝐎𝐩𝐚𝐥 𝐯𝐬 𝐍𝟖𝐍 In 2025, the automation world is split in two. 🔹 Google Opal empowers non-technical users to build AI workflows through conversation. 🔹 n8n gives developers deep control, self-hosting, and powerful node-based logic. Whether you value simplicity or control, this detailed comparison breaks down everything, usability, API depth, data ownership, and deployment flexibility. 💡 Read the full blog here 👉 https://lnkd.in/d5BAADZr #Automation #AITools #WorkflowAutomation #Developers

Google just released Gemini 2.5 Computer Use - AI that can actually interact with websites and apps like a human would. This isn't just another chatbot. • AI agents can now click, type, and navigate interfaces autonomously • Outperforms competitors with 50% faster execution on complex tasks • Already powering Google's own UI testing and workflow automation • Reduces manual testing failures by 60% in production environments • Opens new possibilities for business process automation This is exactly why INTREST creates custom AI solutions that fit your organization's unique needs - we help you implement these breakthrough technologies strategically. Ready to explore how custom AI can transform your organization? Start your journey: www.intrest.io Read the full article: https://lnkd.in/dsYPv-P9 #ArtificialIntelligence #CustomAI #AIforBusiness #WorkflowAutomation #DigitalTransformation

OpenAI just launched AgentKit — here’s what it actually is.” Hey LinkedIn fam — big news in AI: OpenAI just dropped AgentKit (Oct 2025), and at its core is Agent Builder a visual, drag-and-drop canvas to design, version, test, and deploy AI agents without stitching lots of custom glue code. 🧩 Key features to know: Visual workflow building with nodes, decision branches, guardrails, templates, and real-time preview/testing. Multi-agent orchestration and versioning support. Embedded chat UI via ChatKit that you can drop into apps or sites; supports file uploads, theming, streaming responses. Connector Registry / admin tools manage which tools/ APIs agents can call, access across workspaces. Built-in evaluation & trace grading: test your agent logic, grade performance, iterate. ✅ Why this matters: Instead of building agents by hand (wiring tools, writing orchestration logic), AgentKit offers a more unified, visual experience. Iteration cycles shrink what used to take weeks or months may now take hours. Non-developer teams can participate more in agent design (though some dev support is still needed).

The future of enterprise tech isn’t drag-and-drop: it’s code-first. As AI becomes the interface, voice replaces UI, and the next generation of systems will be written by AI itself. At Retter, we’ve believed this for years: the real abstraction isn’t visual, it’s architectural. Code is the new UI, and AI is the new developer.

Governance frameworks (Risk-Control-Audit) should evolve to oversee AI-driven development, embedding risk management early in the process to mitigate potential vulnerabilities. As AI-driven, code-first architectures redefine how systems are built, audit and risk management should move closer to the development layer, not just oversee outputs/results. Process design, control validation, and assurance mechanisms need to evolve within these AI-driven workflows, ensuring transparency, accountability, and resilience are architected. In this new environment, the alignment between developers, risk managers, and auditors becomes critical.

⚡️ 5 AI Tools of This Week | 2025 Edition Exploring the latest AI tools that are redefining how we code, create, and innovate 👇 1️⃣ Claude Code – Now available as a web-app, making it easier to integrate autonomous coding agents into your workflow. 2️⃣ AgentKit – Build custom AI agents with ease using OpenAI’s new developer kit. 3️⃣ Gemini 2.5 Computer Use Model – Google’s API for UI automation: build agents that interact with web & mobile interfaces. 4️⃣ Vercel Agentic AI Suite – New typescript/dev workflow + monitoring tools to build front-end agentic apps fast. 5️⃣ ExecuTorch 1.0 – On-device AI dev made stronger: deploy smarter models to mobile/embedded with Arm’s new release. 💡 Quick Thought: “The devs who master not just one tool — but which tool to use when — are the ones who’ll stay ahead.” Which one will you try this week? 👇 COMMENT NOW:) #AI #AITools #AIDevelopment #Tech2025 #Innovation

𝗢𝗣𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦 𝗖𝗔𝗟𝗟𝗜𝗡𝗚 – 𝗗𝗔𝗬 𝟮 𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦 (𝟮/𝟮) 𝗔𝗜 𝗜𝗡 𝗧𝗨𝗟𝗜𝗣 – 𝗙𝗥𝗢𝗠 𝗛𝗬𝗣𝗘 𝗧𝗢 𝗛𝗔𝗡𝗗𝗦-𝗢𝗡 One thing I love about Operations Calling is how tangible it is. You don’t just hear about use cases — you see them running live. Tulip’s demos showed how fast AI is moving from concept to capability: 1️⃣ PDF → App Builder: upload a PDF, and it instantly generates a front-end work instructions app. (The backend workflows and logic still need to be built manually, but it’s a strong first step.) 2️⃣ AI-Driven Automations: Boston Dynamics’ Spot used AI to check if operator stations were manned — a glimpse into closed-loop operations. 3️⃣ Video → Work Instructions: record someone performing a task, and Tulip automatically builds a work instruction with screenshots from the video. 4️⃣ Chat with your data: ask questions directly about your Tulip tables. Each of these examples had one thing in common: AI removing friction from frontline work — not adding to it. Would love to hear what other AI use cases stood out to you at Ops Calling! #OperationsCalling Tulip Interfaces #AI