//LLM agents
How Browser Agents Let AI Complete Multi-Step Web Tasks
Tags : Agentic AI 2026AI Agent SecurityAI Task AutomationAI Web Navigationautonomous agentsBrowser AgentsBrowser UseClaude Computer UseComputer Use AIHuman in the LoopLLM agentsMulti-Agent AIOpenAI OperatorPrompt InjectionWeb Automation
Ask a chatbot to book a flight and it will happily describe how, then stop. Ask a browser agent the same thing, and it opens a tab, reads the page, clicks the right buttons, and comes back with a confirmation number. That gap between describing a task and finishing it is exactly what browser agents..
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Context Engineering: Why Relevant Context Beats Clever Prompts for AI Agents
Tags : agent memoryagentic AIAI agentscontext compactionContext Engineeringcontext managementcontext rotcontext windowjust-in-time retrievalLLM agentsprompt engineeringRAGretrieval augmented generationsub-agent architecturetoken management
For years, building with language models meant perfecting the words inside a prompt. That era is closing. As AI agents take on multi-step work—researching, calling APIs, writing files, waiting on human approvals—the decisive question is no longer “what should I write?” but “what information should enter the model’s attention at each step?” This is context..
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