For automation agencies & in-house automation teams
Does your workflow duplicate a side effect when a worker dies mid-run?
ClawGuard Crash-Safety Triage tests one crash, retry, replay, timeout, or acknowledgement boundary on one consequential side effect in one n8n or AI-agent workflow. You get one evidence-backed finding within 48 hours of receiving complete materials.
The problem this addresses
When an n8n or AI-agent workflow crashes, times out, or loses an acknowledgement, it may try again. That is normal. The risk appears at the boundary: if an external side effect (a charge, an email, a provisioning call, or a record write) already committed, the retry can trigger it again. The workflow often cannot see that first effect. It only sees "no acknowledgement, try again."
If you ship workflows for clients or run them internally, and there is one side effect you would rather not see twice, this triage tests that boundary and shows you what the evidence supports.
What you get
- One n8n or AI-agent workflow examined.
- One consequential external side-effect path tested.
- One crash/retry/replay/timeout/acknowledgement boundary probed.
- One reproducible failure test — or, where reproduction isn't possible in your environment, a documented test design.
- One evidence-backed pass/fail finding.
- A one-page remediation recommendation.
What you don't get
- Not a fully hardened workflow.
- Not universal bug detection.
- Not legal or regulatory compliance.
- Not zero risk.
- Not a security audit.
- Not an implementation.
This triage does NOT deliver a fully hardened workflow, universal bug detection, legal or regulatory compliance, zero risk, a security audit, or an implementation. It is a bounded diagnostic: one boundary, one finding, one recommendation.
Proof
The demo shows the failure pattern in plain terms: an effect commits, the acknowledgement is lost, and the retry runs. The baseline duplicates the effect. The hardened path deduplicates it. Both cases use the same business key and request hash.
Price & credit
Delivery