Keep production problems from taking over your engineering day.
You sit down to build a feature, then an alert arrives. A little later, support asks why a customer’s order failed. Operate checks the code, logs and data behind these problems, so you have an explanation and a suggested fix to review.
Checkout requests are failing.
provider timeoutretry started immediatelyconnection pool exhaustedOperate connects the repeated requests to the retry code.
− retry: immediate+ retry: exponential_backoff+ max_attempts: 3Where the time goes.
Operate helps engineers find out why their software failed. It reads the connected code, logs and records, explains what it found and suggests a change. When the cause is understood, it turns that explanation into a knowledge article the team can use again.
An alert interrupts planned work
An error alert arrives while you are working on a feature. You have to find the relevant logs, check recent code changes and work out what actually failed.
Operate checks those sources and brings the explanation and suggested fix together. You can review the work instead of collecting all the information yourself.
Read the detailed exampleCheckout requests are failing.
provider timeoutretry started immediatelyconnection pool exhaustedOperate connects the repeated requests to the retry code.
− retry: immediate+ retry: exponential_backoff+ max_attempts: 3Support needs an answer only engineering can find
A support rep asks why a customer was charged twice or why a job never finished. Nothing may be broken enough to trigger an alert, but someone still needs to look at the records and code.
The team can ask Operate in Slack or Teams. It checks what happened and explains whether the next step is a code change or something support can handle.
Read the detailed example
# product-supportReview the refund through your normal process.
Review the suggested change to prevent duplicate retries.
The last investigation is hard to find
An engineer solved a similar problem last month, but the explanation is buried in a chat. The code does not explain the product rule, so someone has to work it out again.
Operate writes verified knowledge articles from root causes. Your team can check and edit them, and the next investigation can look up the earlier explanation.
Read the detailed exampleWhy a timeout can still mean the payment succeeded
An investigation found that the provider accepted a charge before the gateway timed out. Check payment records before retrying.
Operate finds this article and checks it against the new payment records.
Look closer: A checkout release starts exhausting connections
What changed, and what should we review?
Operate checks- Application errors
- Recent retry-code change
- Payment and order records
An immediate retry repeats requests during provider timeouts. Logs and the retry path explain the connection pool exhaustion.
- retry: immediate+ retry: exponential_backoff+ max_attempts: 3Engineering reviews the bounded retry policy against the service's requirements and applies it through the normal release process. The explanation and evidence can become a knowledge article rather than ending in the incident thread.
Try it on a problem
you have already solved.
Choose a past problem, connect the relevant systems and compare Operate’s answer with what your team found.
How to evaluate it
Start with a problem your team has already solved. Give Operate access to the relevant sources and compare its explanation with yours. Check the evidence and suggested change. Then try a question that regularly pulls engineers away from planned work.
Your team decides
what changes.
Operate reads information and suggests changes. Your team checks the answer and decides what to apply.
What stays with your team
Your engineers still review the code, run tests and release changes. Operate can read the systems you connect, but cannot change them. If the information is missing or incomplete, the team may need to investigate further.
Choose what
your team needs.
Start with 30 monthly bot investigations on Free, or unlimited human-triggered bot investigations on Investigate at $99 per workspace per month. Monitor adds proactive monitoring at $299. Enterprise adds shared knowledge and custom capabilities at $499.
Unlimited team members. Pricing is per company workspace. Your own key or model has no Operate token surcharge. Operate-managed AI usage is additional on every plan.
See prices and usage termsNeed people to
handle the work too?
Our engineers can use Operate to investigate problems and help look after your software. We agree what work they will handle, when they are available and how your team approves changes before starting.
Explore managed operationsQuestions from engineering teams.
Can Operate debug a problem that did not trigger an alert?
Yes. A team question in Slack or Teams can start an investigation using connected code, logs and production data.
Does Operate create fixes engineers can review?
Operate provides proposed changes, including patches where appropriate, with supporting evidence. Engineers review and apply them through their normal process.
How does Operate capture undocumented product behavior?
Root-cause investigations generate verified knowledge articles. Teams can edit, verify and manage the shared library on Enterprise and Managed.
Why use Operate instead of connecting an AI coding agent to logs?
A general-purpose agent can investigate with suitable access and context. Operate packages maintained production agents, recurring reviews, reusable knowledge and custom tools into an ongoing operation. Managed engagements add engineers who own agreed work.