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Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also the right place to st...
What is AgentOps?AgentOps is the operating discipline for building, deploying and...
AGENTS.md works best as a testing contract: the exact commands an agent must run, what done means, how to handle a failing suite, and what it must never touch.
Learn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon B...
If you have ever pointed an agent at an enterprise API, you will know how it goes. The response comes back five levels deep, the model spends half its context working out where the...
A hands-on guide to defining specialist agents and coordinating their work in the Codex CLI The post From One Agent to a Team: Understanding Codex Subagents appeared first on Towar...
Company introduces new AEO Agent to help marketers influence how agents discover and recommend their brands Demandbase, the pipeline engine for AI GTM, announced the launch of thre...
Agentforce’s agent for building, testing and improving agents accelerates the development loop—from business intent to learning from production—with humans guiding the work.
Originally appeared on Carmine Paolino.RubyLLM 2.0 is the biggest release since 1.0. It starts with tool approval: class RefundOrder < RubyLLM::Tool description "Refunds an o...
Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now...
Your fields can now think. Route any Drupal field automator through a tool-using AI Agent and let RAG pick the answer.
RSA launched Agent ID at The AI Conference in San Francisco. It's an agentic identity security platform for finance, government, healthcare, and critical infrastructure. It has 3 m...
Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock AgentCore Evaluations for c...
Building an AI prototype is easy, but operating autonomous agents at scale requires production-grade tooling. Salesforce Agentforce bridges the gap from "vibe coding" to enterprise...
An AI agent inventory is the record of every AI agent running in an organization: what each one is, where it runs, who owns it and what it is connected to. IT and security teams bu...
AI applications are rapidly moving from single-model applications toward systems composed of multiple specialized agents. One agent may specialize in weather information, another i...
Bring multiple ACP-compatible agents into the conversations where your team already works with an open-source, self-hostable alternative to Claude Tag. The post AgentConnect -- the...
ModelOp Center 3.5 unifies oversight of low-code, no-code and pro-code agents across Microsoft Agent 365, Amazon Bedrock AgentCore and Amazon Quick, while expanding AI FinOps with...
Wood Mackenzie built APEX, a shared agentic AI platform on Amazon Bedrock AgentCore so every team can ship production agents without rebuilding runtime, identity, observability, an...
The five MLOps monitoring assumptions agents break, and which inherited signals now pass failed runs as healthy. The post AgentOps Is Not MLOps: What Breaks in Your Monitoring Stac...
ZoomInfo, the all-in-one AI GTM platform, announced Agent Teams, which gives revenue teams AI agents that run complete GTM plays reliably. Agent Teams coordinates teams of agents a...
The Agency now has over 190 offices across 18 countries and launched 27 new offices in 2025
Atomic One’s system deploys AI agents for Amazon PPC automation, inventory, pricing, and ranking, and now adds a free tool that lets sellers query their store data in plain English...
After working with agents and agent files for tons of apps, repos, projects, I decided to distill my thoughts on it:
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