AI DevOps Helper
AUTONOMOUS · HUMAN-APPROVED

Your ticket queue, worked while you sleep.

An AI agent that picks up your Jira and ClickUp tasks, digs through infra and logs, and drafts the fix. Nothing gets applied until you say so.

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Review
inspect proposed operations before approval
Local
run the agent where your tools are available
Live
follow recorded progress from the dashboard
DEMO · OPS-412 · Jira · stagingAWAITING APPROVAL

payments-api pods are CrashLooping after the last deploy

  • Pulled the ticket and linked deploy from Jira
  • Read pod events and logs: OOMKilled, memory limit 256Mi
  • Recalled 2 similar incidents from memory
  • Drafted a fix and a rollback plan
deploy/payments-api.yaml
  resources:
    limits:
-     memory: 256Mi
+     memory: 512Mi
kubectl apply · needs your OKTap, or just say “okay”

WORKS WITH THE STACK YOU ALREADY RUN

  • Jira
  • ClickUp
  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Terraform
  • Flux
  • Slack
THE PROBLEM

Ops work is mostly the same ticket, over and over.

01

The backlog never shrinks

Rotate a secret, bump a limit, fix a broken pipeline. Small tasks pile up faster than anyone can close them.

02

Every fix starts from zero

The answer is in a ticket from six months ago, a Slack thread, someone’s head. You find it again each time.

03

Nobody trusts a bot with prod

Automation that can run terraform apply on its own is a risk, so teams end up automating nothing at all.

HOW IT WORKS

From assigned ticket to closed ticket, with one stop for you.

  1. STEP 1

    Picks up the task

    Tickets assigned to the agent in Jira or ClickUp are pulled in with their full context.

    OPS-412 · Jira · stagingASSIGNED TO AGENT

    payments-api pods are CrashLooping after the last deploy

  2. STEP 2

    Investigates

    Reads cluster state, cloud resources and logs. Checks memory for incidents that looked like this one.

    OPS-412 · Jira · stagingINVESTIGATING

    payments-api pods are CrashLooping after the last deploy

    • kubectl describe pod: OOMKilled, exit 137
    • Memory climbs past the 256Mi limit in ~40s
    • Recalled 2 similar incidents from memory
  3. STEP 3

    Proposes the fix

    You get the diff, the terraform plan and a rollback path. Read-only until this point.

    OPS-412 · Jira · stagingFIX DRAFTED

    payments-api pods are CrashLooping after the last deploy

    • kubectl describe pod: OOMKilled, exit 137
    • Memory climbs past the 256Mi limit in ~40s
    • Recalled 2 similar incidents from memory
    deploy/payments-api.yaml
    -     memory: 256Mi
    +     memory: 512Mi
    kubectl apply · needs your OK say “okay”
  4. STEP 4 · YOU

    You approve, it ships

    One tap or one spoken “okay”. The agent applies the change, verifies it and closes the ticket.

    OPS-412 · Jira · stagingAPPLIED · CLOSED

    payments-api pods are CrashLooping after the last deploy

    • kubectl describe pod: OOMKilled, exit 137
    • Memory climbs past the 256Mi limit in ~40s
    • Recalled 2 similar incidents from memory
    deploy/payments-api.yaml
    -     memory: 256Mi
    +     memory: 512Mi
    Approved by Maks · applied · verified 30 min · ticket closed
CAPABILITIES

Built like infrastructure, not like a chatbot.

Memory that stays

Every task and incident lands in Postgres and Qdrant. Similar problem next month? The agent already knows what worked.

No single-vendor risk

A self-hosted LiteLLM router falls back from Claude to GPT to Gemini, so a provider outage never stops your ops.

Voice control

Ask for status, hear the proposed plan, confirm it out loud. Hands stay free when you are away from the laptop.

Agent-to-agent

Speaks A2A, so it can hand work to release, security or cost agents and take requests from them.

AWS, GCP and Azure

One agent across clouds and Kubernetes clusters, working through the CLIs and Terraform you already use.

Dashboard and phone

Watch runs stream live in the web console, approve from the PWA, and soon from a native iOS app.

THE APPROVAL GATE

It can look at everything. It can change nothing alone.

Reads run freely so investigations are fast. Anything that mutates infrastructure stops and waits for a human, with the exact command and plan on screen.

Runs on its own

  • kubectl get / describe / logs
  • terraform plan
  • cloud read-only APIs
  • log and metric queries
  • ticket comments

Waits for your OK

  • terraform apply
  • kubectl apply
  • kubectl delete
  • Commands configured to require approval

Give the agent its first ticket.

Run the agent on your computer. Review its progress and proposed operations from the dashboard.

Open dashboardExplore demo

The demo uses sample data. Open the dashboard to sign in to your workspace.