What does this automation do?
A failed inspection reading is parsed, compared against past failures, and raised with a likely cause for a supervisor.
What can you do with it?
- Turn a raw failure reading into a readable finding
- Point at the pattern when the same defect repeats
- Give every failure an owner and a due date
The Steps
This automation runs in 4 steps:
- When HTTP — Webhook Received
- Then Utilities — Get JSON Field
- Then Taskade AI — Ask Agent ("Quality Analyst")
- Then Taskade — Add Task
What makes this different from a Zapier-style flow?
The "Quality Analyst" step is not a one-off model call. It is a Taskade AI agent that knows your inspection tolerances and defect codes, remembers the failure patterns it has seen before, so every run builds on the last one instead of starting from an empty prompt.
A stateless "ask the model" step forgets everything the moment it returns. An agent keeps its knowledge and its memory between runs, carries its own tools, and can be handed work by other automations.
Who is this automation for?
Built for quality and production supervisors. A failed inspection reading is parsed, compared against past failures, and raised with a likely cause for a supervisor.
How do you set it up?
- Open the "Automations" tab in your workspace.
- Click ➕ Add automation, then start from scratch.
- Add the trigger "Webhook Received" from HTTP.
- Add the action "Get JSON Field" from Utilities.
- Add the action "Ask Agent" from Taskade AI. Point it at an agent called "Quality Analyst".
- Add the action "Add Task" from Taskade.
- Enable the toggle in the top-right corner to activate the automation.
Prefer to describe it instead? Click Build this flow with AI above and Taskade wires the trigger, the steps, and the agent for you.