The Data Letter

The Data Letter

Watch an agent framework break before you build on it

I built the same agent four ways and tried to break each one. Three tools surprised me.

Hodman | AI + Friction's avatar
Hodman | AI + Friction
Sep 27, 2026
∙ Paid

Most framework comparisons rank tools by their features. Features tell you what a tool does on a good run, when every step goes the way it’s supposed to. Your agents don’t get to stay on the good run. Servers restart, deploys land in the middle of a job, and a process dies at the worst possible second. What you want to know is which tool still does the right thing when one of those things happens.

So I stopped comparing feature lists and started breaking things.

I built the same small agent three times, once in Python, once in LangGraph, and once in n8n. The agent is deliberately plain, so the only thing changing between runs is the tool underneath.

Then I put each one through two failures every agent meets eventually. I crashed it at the worst possible moment, and I restarted the whole tool while a run was still going. One tool brought a paused run back from the dead. Another did the same thing twice, the kind of mistake that charges a customer twice. The protection that would have stopped it was missing from all three.

My paid subscribers make it possible for me to keep running builds and tests like these.

Below, I break down exactly how I ran each failure, what every tool did when it hit them, and the one piece you have to build yourself no matter which tool you pick.

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