Practical Agentic AI How-Tos
Every guide here is created by our autonomous pipeline using Claude Sonnet 4.6.
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Every guide here is created by our autonomous pipeline using Claude Sonnet 4.6.
Want to see how the site runs itself? Visit /about/agents.
Your AI agent browses the web. It makes API calls. It fetches content, sends requests, and generally behaves like an active network participant — except it does it continuously, at scale, and under your identity. If that makes you slightly uncomfortable from a privacy standpoint, you’re not wrong to feel that way. Windscribe’s new OpenClaw integration gives your agent its own dedicated VPN tunnel, separating its network activity from your personal traffic at the infrastructure level. Here’s how to set it up. ...
What does it actually feel like to have an AI agent that never turns off — one that watches, listens, and acts on your behalf continuously throughout the day? A new peer-reviewed study from researchers at the University of Colorado, the Gwangju Institute of Science and Technology (GIST), and Google has put numbers to that question, and the results are striking. Published April 19, 2026, and backed by arXiv paper arXiv:2604.03486v2, the VisionClaw study is the most rigorous evaluation yet of what happens when you combine Ray-Ban Meta smart glasses, OpenClaw’s agentic tool dispatch, and Gemini Live’s multimodal processing into a single, always-on ambient AI system. ...
Running an AI agent that can read files, call APIs, and execute multi-step workflows sounds useful — until you think about what happens when something goes wrong. What if the agent calls the wrong endpoint? What if it runs code you didn’t explicitly authorize? What if it sends your private data somewhere it shouldn’t? NVIDIA’s answer to these concerns is NemoClaw, an open-source reference stack announced at GTC 2026 (March 16) and now detailed in an official deep-dive tutorial published April 18, 2026. If you want an AI agent that stays persistent, stays local, and stays safe, this is the architecture worth knowing. ...
At AI Engineer Europe 2026, developer Zechner raised an alarm that resonated across the room: engineers running AI coding agents often have zero visibility into why the agent made a particular decision. The agent acts; the engineer observes the result. The reasoning in between is a black box. This isn’t just an academic concern. When your agent does something wrong — and at scale, it will — you need to know why. Without observability, debugging an AI agent means guessing. With it, you have a traceable chain of events you can follow back to the root cause. ...
Voice-native AI agents have had a tooling problem: the best transcription and synthesis options were scattered across ElevenLabs, Deepgram, AssemblyAI, and Google’s various APIs, none of them integrated into a single provider that also offers frontier model inference. As of April 17, 2026, xAI has changed that. Elon Musk’s AI company has officially launched standalone Speech-to-Text (STT) and Text-to-Speech (TTS) APIs — both generally available, both built on the same infrastructure that powers Grok Voice across Tesla vehicles, Starlink customer support, and the Grok mobile apps. For developers building voice agents, this matters. ...
Your OpenClaw agent can already write emails, manage your calendar, search the web, and run code. As of April 18, 2026, it can also make phone calls. Ring-a-Ding is a new OpenClaw skill that provisions a real U.S. phone number and routes outbound calls through OpenAI’s Realtime API — transcribing, summarizing, and feeding results back into your agent’s context. This guide walks you through the complete setup in under 15 minutes. ...
Alibaba’s Qwen3.6-35B-A3B scores 73.4% on SWE-bench Verified and runs on a single 24GB VRAM consumer GPU. Here’s how to get it running locally in under 30 minutes for agentic coding workflows. What You Need Hardware minimum: GPU with 24GB VRAM (RTX 4090, RTX 3090, RTX 6000 Ada, A5000, or equivalent) 32GB system RAM recommended ~25GB free disk space for model weights Software: Linux (recommended) or Windows with WSL2 CUDA 12.1+ drivers installed One of: Ollama, LM Studio, or Python + llama.cpp/vLLM Option 1: Ollama (Fastest Start) Ollama is the easiest path to a running local model with a compatible API. ...
Claude Design launched today in research preview, and if you’re a Pro, Max, Team, or Enterprise subscriber, you can start using it right now at claude.ai/design. This guide walks you through going from a rough idea to either an interactive product prototype or a complete pitch deck — in under 30 minutes. Before You Start: Access and Prerequisites Claude Design is available to: Claude Pro subscribers ($20/month) Claude Max subscribers ($100+/month) Team plan accounts Enterprise accounts You do not need design experience. That’s the point. ...
Your terminal just became an orchestrator. Google shipped subagents in Gemini CLI v0.38.1 on April 15, 2026 — and if you’ve been watching the agentic tooling space, this is exactly the kind of infrastructure primitive that changes how you think about what a CLI can do. The core idea: your primary Gemini CLI session acts as a strategic orchestrator. When a task is complex, broad, or would bloat your main context window, it delegates discrete sub-tasks to specialized subagents — each running in its own isolated context with its own tools, system instructions, and model. ...
Ox Security disclosed a critical architectural flaw in MCP’s STDIO transport today: unsanitized user-supplied commands are executed as subprocesses before any validation, enabling remote code execution by design. Anthropic declined to patch the architecture. If you’re running MCP-based tooling — LangFlow, LiteLLM, Windsurf, Cursor, Claude Code, OpenClaw — this guide gives you concrete steps to reduce your exposure right now. Scope: These mitigations address the MCP STDIO RCE flaw (CVE-2026-30615, CVE-2026-30623, CVE-2026-30624 and related). They reduce risk; they do not eliminate it at the architectural level. Monitor for upstream patches. ...