Agents Need A World, Not Just A Prompt
Better prompts are not enough for serious AI work. Agents become useful when they can inspect the state of a project, see what changed, and operate inside a shared world.
How To Design Persistent World State For Agents
Agents need more than prompts. This practical guide shows how to give them persistent project state: matters, status, rules, documents, and logs they can inspect and update.
Where Humans Belong In Agent Workflows
AI agents should not be supervised everywhere or trusted nowhere. The useful pattern is human checkpoints: clear places where judgment, risk, and publication decisions stay with you.
How To Run Human Checkpoints With A Software Factory
A practical checkpoint model for agentic work: where to let agents run, where to stop them, and where human approval protects the whole workflow.
AI Writing Needs A Reviewer
Readable AI text is not the same as good writing. The simplest fix is to separate the writer from the reviewer and let human judgment decide what survives.
How To Build A Writer Reviewer Workflow
A practical workflow for using AI as writer, reviewer, editor, and fact-checker without letting the whole process collapse into one generic draft.