Coworker FAQ
Getting started
How do I get started with Coworker?
When you first open Coworker, a guided setup conversation walks you through setting your preferences and creating your first task. The quickest way to get value is to enable OpsPilot Alerts, which connects Coworker to your existing alert rules so it automatically investigates whenever one fires.
Can I have more than one Coworker?
No. Each user has one Coworker. Your feed and preferences are personal to you, but tasks and investigations are shared across your organisation — everyone on the team can see what Coworker has raised.
Can my team share a Coworker?
Tasks and investigations are already shared across your organisation. Use the Just for me dropdown at the top of the dashboard to toggle between your personalised feed and the full team view.
Can I restart the setup?
Yes. Click the settings icon on the Coworker dashboard, select Reset onboarding, and click Open onboarding to walk through the setup flow again. Re-running does not delete anything you already have.
Tasks
How many tasks should I create?
Start with one or two scheduled tasks covering your most critical services, and enable OpsPilot Alerts. Add more tasks over time as you identify gaps. Too many tasks running frequently can increase AI Token usage.
How often should I run scheduled tasks?
Daily is the most common cadence and a good starting point. Every 6 hours works well for services that need closer attention. Weekly is often enough for higher-level system reviews.
If you find yourself wanting very frequent checks on a specific pattern, a monitoring task is usually a better fit than a high-frequency scheduled task. If something needs near-real-time response, connecting an alert rule via OpsPilot Alerts will be more effective and much cheaper.
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Why isn't my task finding anything?
It may take a few runs for Coworker to build enough context to surface meaningful insights. If a task consistently finds nothing, consider adjusting the description to be more specific about what you want it to investigate.
What is the difference between a scheduled task and a monitoring task?
A scheduled task runs on a recurring interval and produces a general report of findings. A monitoring task is focused on a specific pattern or issue (created from an insight) and tracks whether that pattern is improving, worsening, or stable over time.
Insights
What is the difference between Resolve and Ignore?
Resolve marks an insight as handled and it will appear in your resolved insights history. Ignore dismisses it from your priority list without marking it as resolved. Use Resolve when you've taken action; use Ignore when the insight isn't relevant to you.
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Why am I seeing the same insight repeatedly?
If the underlying issue hasn't been fixed, Coworker will continue to surface it. The occurrence history on each insight shows whether it is a recurring pattern. Use Watch to create a monitoring task that tracks whether the issue improves.
How do I change what types of insights I see?
Click Change what I show you on the dashboard to adjust your severity and category preferences (Errors, Performance, Notable, Coverage), or use Update via chat to describe your preferences in plain language.
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Costs
What are OpsPilot AI Tokens?
OpsPilot AI Tokens are the usage allowance for Coworker's AI-powered work, including chat, alert investigations, scheduled checks, telemetry analysis and recommendations. Your plan includes a fixed monthly allowance, and OpsPilot gives you clear usage visibility, forecasting and controls so there are no surprises.
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What uses AI Tokens?
AI Tokens are used whenever Coworker performs AI-powered work:
- Answering questions in chat
- Investigating alerts and situations
- Triaging and performing background checkups on open situations
- Analysing telemetry and service behaviour
- Running scheduled checks
- Generating recommendations, suggested fixes and debriefs
- Updating situations and producing findings
Does every Coworker action use the same number of AI Tokens?
No. Usage depends on the amount of telemetry, context and reasoning required. A simple chat question typically uses fewer AI Tokens than a deeper investigation that reviews metrics, logs, prior findings and service context before generating a recommendation.
Can I forecast my AI Token usage?
Yes. The Projected monthly metric in the Usage view estimates your end-of-month AI Token consumption based on current usage patterns, so you can see whether you are on track to stay within your plan allowance.
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How much does Coworker cost to run?
Cost depends on several factors:
- How many tasks you have and how frequently they run
- The model tier selected (Thorough uses more AI Tokens than Efficient)
- The number of events received from your event sources - the more alerts that fire, the more investigations Coworker runs
- The number of open situations - more open situations means more background checkups running continuously
You can set a monthly task allowance to control spend, with configurable warning and halt thresholds to prevent overruns.
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How do I reduce AI Token usage?
- Review Optimization Suggestions in the AI Tokens tab; these appear automatically after a task has run a few times and Coworker detects ways it could be improved
- Apply an optimisation suggestion to apply the recommended change immediately
- Click Analyse & Optimise to trigger an on-demand optimisation review at any time
- Switch high-volume or routine tasks to the Efficient model tier
- Reduce the frequency of scheduled tasks that run often but find little
- Review the AI Token Breakdown table to identify the most expensive tasks and consolidate or adjust them
- If noisy alerts are driving up costs, consider disabling Coworker from investigating them. Click on the OpsPilot Alerts event source in the sidebar and sort by Most events to see which alert rules are firing most frequently - those are the best candidates to review or exclude
What happens when I reach my task allowance?
Coworker will stop running tasks once spend reaches the Halt threshold, which by default is set to 100% of your task allowance. You can lower this threshold to stop tasks earlier and protect your allowance. A separate Warning threshold notifies you before the halt is reached.
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Can I get warned before hitting my allowance limit?
Yes. The Warning threshold in Settings > Budget & cost triggers a notification when your spend reaches a set percentage of your task allowance (e.g. 80%). This gives you time to adjust tasks or increase your allowance before tasks are halted.
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How do I accept or dismiss an optimisation suggestion?
Open the AI Tokens tab in Usage and scroll to Optimization Suggestions. Expand any suggestion to see the reasoning under Why this suggestion and the proposed change under Instruction changes. Click Apply to apply it immediately, or Dismiss to ignore it.
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What is the difference between Thorough and Efficient model tiers?
Thorough handles any task and is more capable. Use it for critical alerts and complex investigations where depth matters. Efficient is suited to simpler, focused tasks and costs less. Use it for routine or high-volume tasks to keep spend down. You can set the model tier per task or per event source.
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Why use AI Tokens instead of unlimited AI?
AI-powered investigations consume compute and reasoning resources. OpsPilot AI Tokens give your team a predictable, fixed allowance for Coworker's work, with full visibility into what was used and what it delivered. This keeps AI usage transparent and controllable for both teams and budgets.
Memory
How long does it take for Coworker to become useful?
Coworker starts providing value immediately, but becomes noticeably smarter after a few days of running tasks. As it builds memory about your services and patterns, its insights become more relevant and its task analysis more accurate.
Can I clear Coworker's memory?
Please contact support if you need to reset Coworker's memory.
Privacy and data
What data does Coworker have access to?
Coworker has access to the observability data in your OpsPilot account: metrics, logs, traces, and alert rules. It does not have access to data outside your organisation's account.
Need more help?
Contact support in the chat bubble and let us know how we can assist.