ChatGPT Plus for customer support: why the API wins
ChatGPT Plus for customer support runs into the terms and the plumbing. What OpenAI and Google allow, and what the API route costs.
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ChatGPT Plus for customer support runs into the terms and the plumbing. What OpenAI and Google allow, and what the API route costs.
MCP for customer support in plain words: how a server works, what Dynamics, Salesforce and Freshworks shipped, and how to approve one.
A detailed plan explains why this project should work. The outside view asks what happened the last several times your team tried something similar.
Compare the best expense tracking software for small business in 2026: pricing, automation, and accounting sync across eight tools.
We celebrated our 16th birthday with 46 announcements across open source, post-quantum security, AI agents, and developer platform upgrades. Here’s a day-by-day roundup of everything we shipped.
Self-improving AI agents tend to memorize their test tasks, so their gains shrink or disappear on new ones. RRSI, a new method from Google researchers, reins in this effect and lifts scores on unseen benchmarks by up to 4.7 points while using about 30 percent fewer tokens than an unregularized…
A team of developers working at AWS recently open-sourced Pizza Bot, a self-hosted application designed to let AI agents run tasks in the background and return results through an inbox-style interface.
Agentic artificial intelligence is changing the identity security equation. Enterprises are no longer governing access only for employees and traditional machine identities.
From guarding one agent to steering a fleet The post How to Govern AI Agents appeared first on Towards Data Science.
A reproducible crash test, then AG-UI, Foundry memory, and Hyperlight CodeAct in .NET and Python, with the one guarantee each feature…Continue reading on Towards AI »
Three posts landed in September that I think engineering leaders should read together. Anthropic’s engineering team wrote that their continuous The post Agents have made CI the bottleneck. Faster pipelines are the wrong fix. appeared first on The New Stack.
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?
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.
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content What I Built A few weeks ago, I was checking my DEV.to dashboard and noticed something weird in the Traffic Sources panel.
Reddit is full of people describing problems out loud. Founders ask what others are building, site owners ask why Google is ignoring their pages, and small business owners ask for help they cannot find elsewhere.
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content What I Built I built TrueSpecs, a game compatibility checker powered by an AI agent that reasons over structured community data. Before I explain what it does, let me tell you why I built it.
An AI agent emailed Bruce Schneier to tell him about the hidden Unicode traps websites are setting for it. Read that sentence again. We've officially reached the part of the hype cycle where bots file their own incident reports.
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