I will test your ai workflow before launch and find hidden failure cases


About this gig
Shipping an AI workflow without testing it is like launching a website without clicking through it. I find the failures before your customers do. What I test: happy path and edge cases (empty inputs, oversized files, timeouts, retry storms), LLM-specific failures (hallucinated outputs, prompt injection, format breaks, cost spikes), and integration points (APIs, webhooks, databases, Zapier, Make, LangChain, custom agents). What you get: a structured test report with every failure ranked by severity, exact reproduction steps your developer can act on immediately, and concrete fix recommendations. How it works: 1) You share access to your workflow, staging or production. 2) I run my failure-case library plus custom cases for your setup. 3) You get the full report within the delivery window. I test GPT, Gemini, and DeepSeek-based workflows, automation pipelines, and agent systems. Not sure which package fits? Message me first, I reply fast.
Get to know Dong Pang
AI Workflow QA and Monitoring Specialist
- FromChina
- Member sinceJul 2026
Languages
Chinese, English
FAQ
Do you need access to my production system?
No. A staging or demo environment is enough. If you can only share production, I use read-only, non-destructive test cases by default and agree on any write operations with you first.
What do I need to provide to get started?
A link to your workflow, a short description of what it should do, and any test credentials. If your workflow uses paid APIs, a test key with spending limits is ideal.
What happens after I get the report?
You hand it to your developer. Every finding includes severity, reproduction steps, and a fix recommendation. Revision rounds cover retesting the fixes.
