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🔕 Filter Noisy Alerts Quietly with AI

Every alert webhook arrives, and almost every one stops at the filter. Only a real production error reaches the agent, the channel and the on-call task.

  • Event-triggered
  • 100+ integrations
  • Branching logic
  • Schedule + monitor
UNIT · TASKADE.FLOW5 STEPS

How this flow runs

When

Webhook Received

HTTP

Then 1

Filter

Continue only if the alert is a real production error, not a warning

Stop a run cleanly when a condition is not met. A filtered run is not a failure, so it never shows up as an error — inside a loop it skips just that item and keeps going.

Then 2

Agent

Incident Triage

Ask an agent · Taskade AI

Knows
your runbooks, service map and past incidents
Remembers
every alert it has already assessed

Then 3

Send Channel Message

Slack

Then 4

Add Task

Taskade

This agent carries its knowledge and memory between runs, and can call your other automations as its own tools. How custom agents work

Filter is a step you add in the builder, in the same list as an app step — there is no separate scripting surface. All automation actions

Build this flow with AI

Opens the builder with these steps already described. Free to start, no card.

What does this automation do?

Every alert webhook arrives, and almost every one stops at the filter. Only a real production error reaches the agent, the channel and the on-call task.

What can you do with it?

  • Page a human for an outage and stay silent for a warning
  • Keep the quiet runs out of your failure list, because a filter is not an error
  • Change the noise threshold in one step instead of in the alerting tool

The Steps

This automation runs in 5 steps:

  1. When HTTP — Webhook Received
  2. Then Filter — continue only when the alert is a real production error, not a warning
  3. Then Taskade AI — Ask an agent ("Incident Triage")
  4. Then Slack — Send Channel Message
  5. Then Taskade — Add Task

What makes this different from a Zapier-style flow?

The "Incident Triage" step is not a one-off model call. It is a Taskade AI agent that knows your runbooks, service map and past incidents, remembers every alert it has already assessed, 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 engineering teams whose alert channel is muted because it cries wolf. Every alert webhook arrives, and almost every one stops at the filter. Only a real production error reaches the agent, the channel and the on-call task.

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 a Filter step: Filter — continue only when the alert is a real production error, not a warning.
  • Add the action "Ask an agent" from Taskade AI. Point it at an agent called "Incident Triage".
  • Add the action "Send Channel Message" from Slack.
  • 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.

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