This is f*cking gold. I've just made the clearest explanation of graph engineering you'll find anywhere. No jargon, no code, no 2-hour lecture, just the four shapes every agent graph is built from. Read on, and you'll never build with AI the way you did before. ------- Shape 0 - Basics A graph is just a plan for your AI work, drawn out so you can see it - which jobs run and which one waits for which. Graph engineering is the skill of drawing that plan well, so the work that doesn't depend on anything runs all at once, instead of one slow step at a time. Get it right and one person can direct a whole fleet of agents. That is why the best engineers jumped on it the moment loops got old. ------- Shape 1 - The Chain This is the one everyone builds by default. Do A, then B, then C, each step waiting politely for the last to finish. It works, and it is the slowest shape there is. If one step stalls, everything behind it stops. Use it only when the steps genuinely need each other's output. ------- Shape 2 - The Diamond This is the workhorse of every serious graph. You split the job, fan the workers out in parallel, verify what they found, then merge it all into one answer. Use it the moment the work breaks into pieces that don't read each other. Same shape behind a research report, a market scan, or a code review. ------- Shape 3 - The Router Sometimes the next step depends on what you just found. One node checks a result and picks the path. a small job gets a quick pass, a big one triggers a full audit. Use it when the work needs to branch. The decision runs the same way every time, because it lives in the structure, not in a guess. ------- Shape 4 - The Cycle Some jobs you can't size up front. A bug sweep where finding one problem reveals three more. So you add a controlled edge back: keep finding, checking, looping until two rounds turn up nothing new, then stop. Use it for discovery of unknown size. The one rule is a hard limit, or it runs until your budget is gone. ------- That's the base, now you know the four shapes and when each one fits. If you want to go deeper, I wrote a full article just for that, it explains everything step by step and breaks down where graph engineering wins and where it breaks. It also walks you through building your own graph from scratch, read it below.