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The Journal

What we ship, what breaks, and what actually works. Written by the people doing the work - no ghostwriters, no filler.

More entries

· 11 min read

LLM-as-a-Judge Bias: We Audited 10 AI Judges (839 Calls)

Self-preference bias in LLM judges, measured: we made 10 frontier models grade each other's work across 839 blind calls, including our own benchmark winner.

llm as a judgellm benchmarkai evaluationclaude opus 5

· 10 min read

AI Agent Approval Workflows: A Risk-Tiered Design Guide

Design AI agent approval workflows without vendor lock-in: risk tiers (auto-approve, notify, block-and-ask) plus n8n and MCP implementation sketches.

AI agentsapproval workflowshuman in the loopn8n

· 8 min read

AI Enablement Consulting Services: Buyer's Guide

AI enablement consulting services for businesses, from the buyer's side: what you get, engagement models, fixed pricing from $5,000, and 10 vetting questions.

ai enablementai operatorshiring consultantsai adoption

· 9 min read

AI Operator Job Description: 6 Duties, 5 Skills + Template

An AI operator directs AI to produce real work; one person runs 5 sites with 1,000 posts/day capacity. The 6 duties, 5 skills, and a free JD template.

AI operatorAI enablementhiringAI automation

· 9 min read

AI Project Rescue: How to Save a Stalled AI Project

AI project rescue, defined: a staged recovery framework for stalled chatbots, RAG, and automation pilots, plus how to decide rescue vs rebuild vs retire.

AI project rescuefailed AI projectsAI automationRAG

· 9 min read

Claude Fable 5 for Business: What Actually Changes

What Claude Fable 5 changes for business output: verified benchmarks, the June suspension timeline, real rollout checks, and how one operator runs it.

Claude Fable 5AI enablementAI operatorClaude Code

· 11 min read

Cleaning Up AI-Generated Code: A Developer's Field Guide

A developer's guide to cleaning up AI-generated code: nine recurring smells, before/after fixes, and the safety-net workflow that makes refactoring safe.

AI-generated codecode cleanuprefactoringcode smells

· 9 min read

How to Fix a Vibe-Coded App Without Starting Over

A senior engineer's triage playbook for broken vibe-coded apps: stabilize, diagnose, then decide refactor vs rewrite, with the risk order that matters.

vibe codingAI-generated codecode cleanuptechnical debt

· 9 min read

Human-in-the-Loop MCP Servers: 3 Patterns That Work

Three human-in-the-loop patterns for MCP servers: elicitation, sampling review, and out-of-band approval, plus an open-source server you can run today.

MCPAI agentshuman-in-the-loopping-a-human

· 8 min read

n8n vs Mastra: Which Should Power Your AI Automation?

n8n vs Mastra compared by an agency that ships both: visual workflows vs a TypeScript agent framework, when each wins, and how to combine them.

n8nMastraAI agentsworkflow automation

· 8 min read

Vibe Coding Cleanup Specialist: The Hiring Guide

What a vibe coding cleanup specialist does, what one costs, how to vet them, and when to hire one vs rebuild: a hiring guide from a team doing the work.

vibe codingAI-generated codecode cleanuphiring

· 8 min read

Vibe Coding Technical Debt: What It Really Costs to Fix

Vibe coding technical debt, quantified: the five debt types AI code accrues, what each costs to carry, and how remediation actually gets priced.

vibe codingAI-generated codetechnical debtcode cleanup

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