Explore MPV
Open library resources and editorial guides, designed to be useful on first read.
Editorial
Long-form thinking on prompts, skills, agents, and building with AI. Tutorials, breakdowns, and opinion pieces for practitioners.
Guide library
11
Long-form guides and breakdowns.
What to expect
Strategy, systems, and applied AI judgment
Less churn-content, more guidance you can reuse.
A practical guide to prompt evaluation that goes beyond vibes and looks at repeatability, failure cases, and revision discipline.
A grounded guide to agent design that starts with workflow clarity, not with a framework logo and wishful thinking.
An honest comparison of where each automation platform fits once you move beyond simple demos and into maintainable AI workflows.
Why the hard part is no longer phrasing clever prompts, but deciding what information the model should actually carry into the task.
A practical guide to deciding whether a workflow is worth automating before you spend time wiring prompts, tools, and agents around it.
A practical guide to recognising when a one-off prompt has become a reusable capability and how to package it into a cleaner skill.
A practical argument for treating human review as part of intelligent workflow design rather than as evidence that the AI system failed.
A grounded guide to recognising when an agent is overkill and when a better prompt, cleaner context, or stronger process design would solve the problem faster.
Few-shot prompting can be excellent. It can also quietly teach the model the wrong pattern. Here is where it usually goes wrong.
When to use light behavioural setup, reusable capability packs, or full multi-step systems without muddling the three together.
A practical breakdown of what strong system prompts do differently, and why vague roleplay prompts usually fall apart.