How we built AI agent behavior drift analysis with Cloudflare Clef
How Arcjet monitors AI coding agent sessions in real time, detecting risky actions and behavior drift with Cloudflare's Clef decision model.
Arcjet Blog10 min read
AI agents
4,338 stories
AI for the Real Economy: Our Series A in Zenzap
The post AI for the Real Economy: Our Series A in Zenzap appeared first on Lightspeed Venture Partners.
Lightspeed Venture Partners AI6 min read
Claude vs. ChatGPT: Which is best? [2026]
When OpenAI launched ChatGPT in late 2022, tech writers (myself included) became obsessed with testing its limits. Could it write poetry? Debug code? Explain quantum physics to a five-year-old?
Zapier AI Blog17 min read
Human-in-the-loop in AI workflows: HITL meaning, benefits, and practical patterns
AI systems can route messages, update records, make decisions, and trigger entire workflows across multiple apps without you touching anything. But as AI shifts more and more from being an assistive tool to powering agentic systems, humans have a new kind of responsibility: making sure nothing goes…
Zapier AI Blog11 min readANASSA: From High-Level Framework to Low-Level Architecture for Spatial Agentic AI
Agentic AI systems operating over geospatial data require more than autonomous reasoning and tool use; they must also support explicit orchestration, spatial validation, governance, provenance, failure handling, and human decision authority.
arXiv - cs.AI2 min readRealityBench: Simulated Environments to Evaluate a Vision Language Model's Ability to Document Human Physical Work
Augmenting worker capabilities in the physical world through guidance has been a decades-long goal for AI agents. One key supporting capability is to understand what the worker is doing, seeing through the human's camera or smart glasses, and assist them in documentation.
arXiv - cs.CV (CV)2 min readACED-Bench: Evaluating How LLM Agents Acquire and Act on Causal Evidence
Large language models are increasingly used as scientific assistants, yet we still lack reliable ways to evaluate whether they can investigate a system rather than merely answer a prompt.
arXiv - cs.AI2 min readHarness^2: Recursive Agent Harnessing for an Open World
LLM agents' capabilities depend not only on their underlying models but also on their execution harnesses. Recursive self-improvement (RSI) offers a promising approach to automatically evolve these harnesses. However, deploying RSI in open-world settings still faces two critical challenges.
arXiv - cs.AI2 min readLoose Lips: Understanding Privacy Leakage in Agentic Dialogue
As LLM agents are increasingly deployed in high-stakes enterprise settings, understanding how they handle sensitive information in agentic dialogue has become critical.
arXiv - cs.CL (NLP)2 min readVH-GPO: Verified Handoff for LLM Agent Reinforcement Learning
Group-relative reinforcement learning methods such as GRPO train large language model (LLM) agents by comparing rollouts for the same task. When every trajectory in a group fails with the same reward, relative advantages collapse toward zero, leaving no useful learning signal.
arXiv cs.LG2 min read
QA for AI Agents: How to Score, Monitor and Improve Every Conversation
Only 27% of customers say they would try a customer service chatbot again after a negative experience, according to a September 2026 Gartner survey. You rarely get a second chance with a customer your AI agent has already let down.
CereProc Blog10 min read
What Founders Should Know About AI Legal Risk Before They Ship
Someone in Australia, over the summer, asked Claude to get them into a gym class they were on the waiting list for. Claude ... The post What Founders Should Know About AI Legal Risk Before They Ship appeared first on Madrona.
Madrona AI Perspectives6 min read
TechSparks 2026: Here’s all that’s happening on Day 2
Day two of TechSparks 2026 brings Vibecode30, agentic AI, deeptech capital and more, with speakers from Stripe, Swiggy and Peak XV.
YourStory AI2 min readBrowserStack vs LambdaTest (Now TestMu AI): 2026 Comparison
BrowserStack vs LambdaTest, now TestMu AI, product by product: live testing, automation, real devices, visual testing, test management, AI agents and pricing.
TestMu AI Blog9 min readBrowserStack Automate vs HyperExecute: 2026 Comparison
BrowserStack Automate vs HyperExecute: how each runs a suite, prices parallel tests and debugs failures, plus the steps to move an Automate suite to TestMu AI.
TestMu AI Blog12 min readBrowserStack Test Management vs TestMu AI (2026)
BrowserStack Test Management vs TestMu AI Test Manager: AI test case generation, Jira sync, imports, reporting, pricing model and how to move your test cases.
TestMu AI Blog11 min readBrowserStack Live and App Live vs TestMu AI (2026)
BrowserStack Live and App Live vs TestMu AI Live Testing and Real Device Cloud: browser and device coverage, debugging tools, pricing model and how to switch.
TestMu AI Blog12 min read
Telvana | The AI agent platform for contact centers — score 50/100 (ai-tools)
Telvana's AI agents answer calls, run outbound call and SMS campaigns, and reply to texts and chats for contact centers, handing off to your team. Live in days.
Not Human Search Blog2 min read
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