ai-agent

A Week Inside Jev: What a Non-Generative Decision Model Is Actually Good For

I wired TypeSafe’s Jev into a real Claude Code workflow for a week. Here is what the “200x faster, 400x cheaper” headline leaves out.

Built My Own MCP Server in 80 Lines of Python. Now Claude Knows My Sales Pipeline.

A year ago I wrote about building a tiny AI agent that uses MCP tools. It’s still the most-read thing I’ve published.

Your Knowledge Graph Is Measuring Your Pipeline, Not Your Subject: A Replication Attempt

I left a comment on a Medium piece a few weeks ago about agentic graph engineering across 82.8 million edges, the one about catching hidden vulnerabilities by walking task graphs, capability graphs, and run graphs instead of asking an LLM to reason over the whole mess.

Eight GPUs, Three Models, One Server: A Production Playbook for Self-Hosting LLMs on NVIDIA H20

Somebody on the team gets a local model running in an afternoon. One Docker command, one model name, and ten minutes later there’s a…Continue reading on Towards AI »

Meet Jev: The AI Model That Doesn’t Write, and Why Data Engineers Should Care

A plain-English guide to “System One” models, with patterns, code, and honest caveats

Your Agent’s Guardrails Probably Fail Open. Microsoft Just Published a Contract to Fix That

Microsoft published Agent Hooks on August 27, 2026.Continue reading on Towards AI »

I Installed 40 Claude Skills. Three Survived.

superpowers has 291K stars — and it actively slows me down on half my work.Continue reading on Towards AI »

Redis for AI Agents: Memory, Queues, Checkpoints

Your framework is the brain. Redis is the hands. Here’s when the hands are overkill.Continue reading on Towards AI »

How to Write an Agent Eval Rubric: Why Your LLM Judge Averages 4.8 on Useless Replies

How Jev Picks an Answer Without Writing One

Scoring instead of generating: what open Qwen2.5 experiments show about speed, accuracy and calibration, and how to build it on AzureContinue reading on Towards AI »

The memory problem OpenAI’s dots makes impossible to ignore

Compare dots, Muse, Team Bots, and Claude Managed Agents to see where memory lives, who can edit it, and how forgetting works.Continue reading on Towards AI »

SoPhi Harness— Hands that Don’t Freeze: A Tool Interface Built For a Future it Hadn’t Earned Yet

SoPhi Harness— Hands that Don’t Freeze: A Tool Interface Built For a Future it Hadn’t Earned Yet Series: Building SoPhi — a Kotlin Agent Harness — Article 06 A line cook working a busy pass …

AI Video Agent vs Video Generation API: Which Should You Choose?

Compare an AI video agent with a video generation API and a human editor. Three questions show which video tool fits your workflow.

Deprecating a Tool Nobody Calls Directly

API lifecycle management when your only consumer is a model that read the description once and formed an opinion.Continue reading on Towards AI »

MCP’s Biggest Update Made AI Agents Scale. It Also Turned a Prompt Into a Password.

Signing a handle stops forgery. It does not stop theft. Here are the four checks every MCP server now needs.

California’s AI Kill Switch Needs More Than an Off Button

Stopping the model is only the beginning. The real test is whether everything it set in motion stops with it.

Agentic AI in Action — Part 30 -Prompt Engineering vs Context Engineering. A Cortex AI Walkthrough

Prompt Engineering vs Context Engineering. A Hands-on Cortex AI Walkthrough An example demonstrating how the same prompt and instruction return different severity ratings depending on how much …

The $200 OpenAI Pro Plan Has a Math Problem

A coding benchmark shows when API spending reaches $200, while the plan’s real usage ceiling remains unpublished.Continue reading on Towards AI »