Use cases · Engineering Ops

Agents check every release and take the first look at every incident. Engineers review and approve.

Your teams ship several times a week, and QA, on-call triage, security and cloud cost struggle to keep up. AgentWorks agents run those jobs every day and hand engineers a finished first pass: the failing test, the likely cause, the proposed fix.

How this team runs on agents

A goal on top. Agents doing the work. People approving what matters.

Goal Illustrative

“Zero regressions in releases”

Clean releases this month13 of 14

Agents own the target end to end. Every day the number is checked and what is not working gets changed.

Flow

Release check

Run the user journeys on every build, file failures with steps and screenshots, block the release if needed.

Crew

Incident expert

Answers "what changed before the errors started?" from logs, deploys and past incidents.

People

Approve the exceptions

Engineers review the proposed fix and approve the merge.

Everyone’s personal AI connects in, through AgentBridge

Claude CoworkChatGPTThe engineering lead asks Cowork "is today’s release safe to ship?"

Claude CodeCodexCursorEach engineer’s Claude Code, Codex or Cursor takes the failing test and the likely cause, and opens the fix.

SlackWhatsAppEveryone else asks and approves where they already talk.

  • 01
    Releases wait on manual checksSomeone clicks through the app before every release, or nobody does.
  • 02
    Incidents start from zeroThe on-call engineer spends the first hour just finding where to look.
  • 03
    Security and cost pile upFindings and idle cloud spend sit in a backlog nobody owns.

Example goal

Ship releases without regressions

Primary metricReleases with a regression
1 of 14

target 0. Illustrative numbers.

Premade agents

Start from agents that already know the job.

Each one comes with its goal, its tools and its guardrails. We set up the first one with you.

QA

Release Quality Assistant

Collects the checks for a specific release and highlights missing evidence so the release owner can decide whether to ship.

CrewSource
QA

Browser Journey QA Analyst

Tries the customer journeys you choose and brings back screenshots and steps to reproduce any failures.

CrewSource
Engineering

Incident Investigator

Builds a timeline from alerts, logs and recent releases so your engineers can investigate an incident with the evidence together.

CrewSource
Security

Security Remediation Coordinator

Tracks a security finding from its assigned owner through the fix, deployment and independent recheck.

CrewSource
Engineering

Cloud Cost Analyst

Explains changes in your cloud bill and prepares savings options with the risks for your team to review.

CrewSource

Works with GitHub, your CI, logs and monitoring through MCP, your cloud account, Slack and Linear or Jira. See connectors →

How it works

You set the target. The agents keep working until it's hit.

  1. Set the goal

    Pick a premade agent or describe the outcome, then agree the metric and target with us.

  2. Run

    Agents work through your tools on a schedule. You choose which actions run on their own and which wait for a person; we agree those rules during setup.

  3. Measure

    Every run records what it did and what it moved, so you see progress, not activity.

  4. Review each run, improve the next

    What broke gets fixed, what didn't work gets dropped, and the next idea gets tried.

FAQ

Questions, answered.

Will it push code?

It proposes changes as pull requests. Merging stays with your engineers.

Does it replace our on-call?

No. It takes the first look and hands the on-call engineer the evidence and a likely cause.

Where can I go deeper?

Each job has its own page: release quality, incident response, security testing and cloud cost, under Enterprise.

Start with one goal. We'll set it up with you.

Book a short call. We connect your tools, pick the agent and agree the metric together.