by @alexzaitsev.dev
A curated feed for practical agentic AI: OpenClaw updates, AI agents, coding agents, tool calling, agent runtimes, browser agents, local-first AI, and builder notes. Tuned for hands-on signal over hype.
Vikas Gupta LAYERS OF AI — FROM DATA TO AI AGENTS Modern AI systems are not just an LLM. They are built in layers, where each layer solves a different problem. From traditional rule-based systems to autonomous AI agents, every layer builds on the capabilities of the one below it.
Pakistan Newsland Google Cloud Takes Aim at Office Work With a New AI Agent #Google #GoogleCloud #Gemini #AI #EnterpriseTechnology
Bytewise — Tech News, Decoded Anthropic Cuts Web Access for Internal AI Agents Anthropic just severed live web access for its internal evaluation agents—because it cannot reliably control what they do online. (1/6)
@kuzved1988.bsky.social В Китае началась корпоративная гонка за платформой OpenClaw Тренд на внедрение ИИ-агента OpenClaw в Китае перерос в настоящую распродажу территорий — технологические гиганты и стартапы спешно создают собственные версии платформы. Читать полностью #OpenClaw #Китай #ИскусственныйИнтеллект
AI News Daily Meta Platforms leasing AI compute capacity and releasing Muse AI agent Sponsor this channel now. https://www.ProNetGrowth.com/?utm_source=bluesky&utm_medium=post&utm_campaign=news-ai&utm_content=ai #AI #Meta
AI Daily Post Anthropic just unleashed Claude that can juggle up to 1,000 AI agents in parallel—think dynamic workflows and massive token efficiency. Curious how multi‑agent orchestration will reshape AI? Dive in! #Claude #Anthropic #MultiAgent 🔗 aidailypost.com/news/anthrop...
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Ediz Najim | Systems Thinking for Agentic AI leanpub.com/staai Systems Thinking for Agentic AI By Ediz Najim
Ediz Najim | Systems Thinking for Agentic AI leanpub.com/staai Systems Thinking for Agentic AI By Ediz Najim
Nitai Pendo for Product Context in Apps and AI Agents Pendo helps teams use in-app context to guide users, measure behavior, and improve activation and adoption, including for AI agents. The article says its strength is product g ift.tt/wQMXRlc