graph engineering explained (marketing edition) graph engineering is about designing the map your agents run inside, you draw the steps and the routes between them ahead of time, then they travel the path you put down it is the layer past looping, where one agent just circles a single task until the work meets the standard you set every agent graph is built from 4 pieces: > nodes: a stage the work passes through, research, draft, score, publish, a few run once, others are their own loop the agent circles until that step clears > routes: the paths you draw between the nodes ahead of time, every direction the work is allowed to travel > checkpoints: the check on each route that reads the result and sends the work forward when it clears or back to an earlier node when it misses > gates: a checkpoint the work cannot skip, nothing publishes until the draft clears the rubric if you have built a workflow in n8n you have already drawn one, nodes you connected, branches that fire on a condition, a step that loops until it clears. an agent graph is that same shape, each node holds an agent doing the work n8n would hand to a single api call the content graphs I run at my agency all take this shape, here is one you can build for SEO > 1 research: pull the keyword, the search intent, the competitors ranking for it, and the questions people keep asking > 2 brief: turn that research into a brief, the angle, the entities to cover, the queries the piece has to answer > 3 draft: an agent writes the article from the brief and nothing else in its context > 4 score: a critic grades the draft against your rubric, depth, intent match, originality. this node is a loop, it sends the weak drafts back to 3 and only releases one that clears > 5 publish: once the rubric clears and the brand rules pass, the agent adds internal links and the piece goes live each arrow between those is a route, every grade is a checkpoint that picks which route the work takes next, and the draft and score nodes form a loop inside the bigger map while the rest run once this is where the word graph starts to mislead. that draft and score loop can pass itself, the critic likes the draft, its rubric clears, it publishes, and still never ranks. the loop was grading the writing against another agent's opinion while the only thing that counts is whether it ranked so you add a checkpoint the agents cannot argue with, one that reads live search and AEO signals from outside the graph: > did google index it > is it climbing on the target query > are AI answers citing it > do people stay once they land if those move, the map keeps its shape and you feed it the next keyword. a stall sends the work back to research instead, because a miss this late usually traces to the angle or the intent you chose at the start, which a rewrite cannot fix anchor the map to results the agents cannot fake, and freeze the few rules they never rewrite, your brand voice and the claims you cannot make with the anchor in place, a failed piece shows you the exact node it broke on