AIQB
TutorialsOrdinary

Matrix – Check whether your AI agent actually did what it claimed

Source: DEV Community·

Summary

Agents report success for actions that never happened — no error, clean trace, and every...
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-debcb517917327679a316583
Read original source ↗More Tutorials

Related stories

Matched by category, entity tags and source

TutorialsOrdinary
Building FraudGraph Agent: Autonomous Fraud Investigation & Policy-Compliant Next-Best Action with TigerGraph
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.
Source: DEV Community
TutorialsOrdinary
How I Built a Multi-Asset Investment Platform with Next.js, PostgreSQL, Docker and AI
Most investment dashboards are easy to build when every asset comes from one provider. The real...
Source: DEV Community
TutorialsOrdinary
Cosine Gating Won't Save You From Sycophancy: A Self-Refutation Observed by Three Judges
A pilot said the gating made the model MORE sycophantic (+10pp). The full run said +0.5pp of pure noise. Three independent judges then all said: not only useless, slightly harmful. A 38-hour CPU-run experiment log, with data.
Source: DEV Community
TutorialsOrdinary
Bringing TypeSafe AI Jev Model to Go
The Jev model from TypeSafe AI introduces a System One approach, delivering structured data rapidly...
Source: DEV Community
TutorialsOrdinary
TigerGraph Agentic Fraud Investigation Hackathon 2026 Team GOA-T
Team Thota Sai Eswar Srinath — Team Leader & Agentic Architecture Nikhil Kadiri —...
Source: DEV Community
TutorialsOrdinary
I spent hours on App Store screenshots, so I built a tool that makes them
The most useful thing I learned building this: if you want an image model to work well with text,...
Source: DEV Community
TutorialsOrdinary
Building an AI Gateway from Scratch — From LLM Gateway to Agentic Gateway
Introduction The moment you have more than one LLM call in production, you have a routing...
Source: DEV Community
TutorialsOrdinary
KV cache cut by ~45% with near‑same accuracy
Grouped Value Attention slashes transformer KV memory by roughly 45 % without hurting benchmark...
Source: DEV Community
TutorialsOrdinary
The calibration bug that taught our fraud agent to wave fraud through
An agentic fraud investigator on TigerGraph: GSQL, GraphRAG, MCP, and a deterministic policy core the LLM cannot touch.
Source: DEV Community
TutorialsOrdinary
Why a swarm of AI agents is the hardest thing this series has tried to tame
AI Harness Engineering · Essay Eight · derek wang (derekwang85) Kevin Kelly opens Out of...
Source: DEV Community