Benchmarking Real Work - Case 01: How I Built a Voice Agent Benchmark from Real Customer Failures

Genkit Go, Eino, Google ADK Go, tRPC-Agent-Go and LangChainGo compared with real code and real output for each one.

Every LangChainGo concept mapped to its Genkit Go equivalent, with before and after code for models, prompts, chains, tools, agents, RAG and memory.

Ciao 👋 Make some chai, this is a long one, and it has a plot twist I did not see...

I built a synthetic multi-agent loan crew on Amazon Bedrock and made Traccia hard-block a runaway agent, redact applicant PII across every sub-agent, and export EU AI Act audit evidence. Two of my three governance policies blocked nothing …

It didn't make me write better code. It didn't make me deliver features faster. It didn't make the...

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...

AI agents write this YouTube channel. A satire episode let them take over; here are the real guardrails, plus Amodei's and Bengio's essays on AI agents.

This is a submission for the Kaggle Benchmarking Challenge What happens when an LLM...

A one-line request hides a dozen decisions you never made. TL;DR: Force the AI to ask about the...

AI is everywhere these days. But instead of just learning about AI, why not build something with...