An Agent That Knows When It Doesn't Know - Fraud Investigation on TigerGraph

Your training run died at epoch 47. The logs show nothing useful — just a silent hang and a CUDA...

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The model's per-token price is the cheapest part of running an AI agent. The real bill comes from the loop around it. Here's where the money actually goes.

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...

Who called your API last? For us, the honest answer is more and more often an agent. Claude Code...

Field note 009. A replication of a published agent-loop benchmark, and what it hides. ...

An LLM bill has 2 parts: rate and volume. You can adjust both. But a default request barely changes...

Hi everyone! 👋 I’m a final-year BTech CSE student. The Problem I Noticed As AI agents start doing...

How we combined TigerGraph 4.2.5, Model Context Protocol (MCP), calibrated Graph ML, Vector GraphRAG, and deterministic policy enforcement to build an enterprise-grade autonomous fraud investigator.

I've been working on something called Vectra, and I've been thinking about this problem for a...