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Learn what subagents are, how AI agents delegate tasks, and when multi-agent workflows outperform a single agent, with architecture patterns, risks, and design guidance.
Agents that run software need a context graph of the app: every resource, what it connects to, the repository that deploys it and the team that owns it.
Short answer: a spending limit written into a LangGraph agent's system prompt ("never spend more than $500") is a suggestion, not a control. Any text the agent reads, including a scraped invoice or an email, can contain a competing instruction, and the model has no way to know which one is…
Day 4 of 30 Days of Search. You find a paper that looks useful, open the abstract, and realize the detail you need is somewhere else. Which dataset did the authors use? What did they compare against? Can you combine papers from different sources in one place for easy access and bookmark?
Most AI image generators gate the first render behind an account, which makes them awkward to evaluate quickly. A few browser-based tools skip that step, and that is often the difference between trying something and closing the tab.
TL;DR: Put an OpenAI-compatible Chat Completions boundary in front of OpenAI-, Claude-, and Gemini-style models, but do not confuse wire compatibility with output correctness.
Google spent late September publicizing benchmark gains for Gemini 4 Argon. By the first week of October, one of those benchmark runs produced an unexpected operational postmortem.
Frontier artificial intelligence labs spent the past eighteen months asking Washington for a bargain. In exchange for submitting to federal safety evaluations, frontier developers wanted statutory protection from civil liability when autonomous systems fail in production.
Most AI tools have a fake safety filter. They just scan your prompt for a list of banned words. If you type a bad word, it blocks you. But hackers know this. So they bypass the front door. Today, a developer named Adam took my "Break KODA" challenge. He didn't use a bad word.
This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built Basira (بصيرة, "insight" in Arabic) is a private, offline document reader for people with low vision.
When developers start building LLM-backed applications, there is a common temptation: select the newest, largest frontier model, drop the API key into an environment variable, and ship it. During local testing, large models feel great.
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I Built Dead Software Library — a haunted cemetery for discontinued software, inspired by Dead Poets Society.
OpenAI quietly published openai/mcp-extensions on September 29. It is an Apache-2.0 repository with a specification, a TypeScript SDK (@openai/mcp-extensions) and a Python SDK (openai-mcp-extensions), currently at 0.1.0.
we all know the drill. your code breaks. the terminal spits out 40 lines of red text. you copy it. you paste it into google. you click a stackoverflow link from 2014. the solution doesn't work because your stack is different. you waste 45 minutes. i got tired of it. so i built KODA.
Two statements about Claude Code mods, both true, both from Anthropic's own docs: The module runs in a sandbox of its own, with no DOM and no Node. "Mods aren't sandboxed." The first two days of the mods launch have been one long argument about which of these is the lie. Neither is.
Originally published at AI Agent Security: The Runtime Surface Around Every Tool Call on smartgate.network. A shorter version of "AI Agent Security: The Runtime Surface Around Every Tool Call" — the full piece lives at smartgate.network.
Most chat apps forget you the moment the session ends. The usual fix is a backend with accounts, a vector database, and a privacy policy. If you ship a small iOS or macOS app, that is a lot to take on for "remember that I prefer short answers." I built AiPersona so the memory can live on the…
Short answer: put a chat-based classifier in front of invoice extraction and require one small JSON-schema result: allow, review, or block, plus policy categories and a reason.
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