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An end-to-end guide to deterministic checks, retrieval metrics, human review, LLM judges, and regression testing, with practical examples from a local multi-agent RAG application.
Four MCP servers, one Claude Code session, and by the time I typed my first real prompt, a third of the context window was already spent…Continue reading on Towards AI »
I skipped the vendor tables and lined up the independent runs: 113 real coding tasks, four tries each, with the bill attached.Continue reading on Towards AI »
A $60 billion headline says the asset is the assistant, but it is not. The model is rented. What a coding product is worth is the policy on each turn: what the model is allowed to see, which actions are reachable, and what counts as done.
Many developers keep database passwords and API keys in plain text in their MCP config. Here’s how to move them into 1Password and hand…Continue reading on Towards AI »
Hearing, waiting, answering fast and knowing when to stop: the parts of a voice agent that make a call feel natural
How “System 1” AI makes fast, calibrated decisions that LLMs can’tContinue reading on Towards AI »
A voice agent that negotiates freight rates, ten scripted attacks, and the difference between “never crossed the limit” and “never gave the limit away”
AI agents guess when a question is vague. Two things help: write down your rules first, then add a separate check that asks.Continue reading on Towards AI »
Every agent looks great when the mock API responds in 100 milliseconds and the demo run is scripted.Continue reading on Towards AI »
Most people use AI answers without checking them, yet less than half say they trust AI. That gap is a design problem. Here is how to close…Continue reading on Towards AI »
A forger, a detective, and a game that never ends: the full, friendly guide to how two neural networks compete to produce data that never existed before.
Convolutional Neural Networks Explained: How AI Understands Images How a network goes from a grid of raw numbers to “that’s a cat”. Introduction So far in this series we’ve worked with …
Why Neural Networks Overfit: Regularization, Dropout, and Early Stopping Explained Why does a model ace its training data and then stumble on anything new? Introduction Neural networks learn patterns …
Cloudflare’s Answer to Jev And It’s Open Source For Non Members , Look in the Responses It takes a piece of state (text, JSON, or images) and a list of typed questions. It returns a probability …
I skipped the vendor tables and lined up the independent runs: 113 real coding tasks, four tries each, with the bill attached.Continue reading on Towards AI »
Your Agent’s Memory Is a Liability: Track State, Not History There is a French draft in one of my test apps that I keep like a fossil. Article 96924661: a title, a slug, zero paragraphs. A June …
Claude Sonnet 5 and Gemini 3.1 Pro ship 1M-token windows, but RULER and Chroma's research shows retrieval still beats stuffing on cost and recall accuracy...
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