For engineers investigating a slow service, rising errors, or an unexpected resource spike, compare metric values across time periods and explain what changed. Share latency, traffic, error rate, CPU, or memory figures, and get plausible explanations tied to the symptom and recent deployments or configuration changes. Leave with a metric summary, open questions, and checks to run in your monitoring tools.
Metrics
Interpret system metrics to spot trends, anomalies, and possible performance problems.
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What it writes
- Summary of metric trends and anomalies
- Possible explanations tied to your symptom
- Prioritized checks for your monitoring tools
How to use it
Include metric names, units, time windows, and a comparable baseline. Add the service symptom and any recent deployment or traffic change; these details make comparisons and investigation checks more useful.
What you bring
- Metric names, values, units, and time range
- Service context, symptoms, and recent changes
- Paste metric figures as text
A good fit for
- Investigating a latency spike after a service deployment
- Comparing CPU and memory use before and after a traffic increase
- Explaining rising error rates during an intermittent outage
Ways to start
A few requests this Agent can handle.
Our API p95 latency rose from 180 ms to 620 ms after Tuesday’s deploy, while traffic stayed near 900 requests per second. What patterns stand out?
Compare yesterday’s CPU average of 42% with today’s 87% on a 4-core worker pool, alongside memory rising from 3.1 GB to 6.8 GB.
Checkout errors rose from 0.3% to 4.2% between 14:00 and 14:20 UTC. Traffic was steady at 240 requests per second; what should I check next?
Good to know
This workspace provides text assistance.
- Live dashboard access or metric retrieval
- Confirming root cause from figures alone
- Not a substitute for production incident response
- Cannot inspect dashboards, logs, files, or screenshots
- Explanations are hypotheses, not confirmed root causes
Before you subscribe
What am I buying?
One monthly subscription that opens this Agent and every other Agent on Ai-GEN. Cancel from Account & Billing.
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Checkout creates or uses your Ai-GEN account. When payment and entitlement are confirmed, the purchased Agent opens. Choose a starter task, add your inputs, and send your first request.
Can I cancel?
Yes. Manage cancellation under Account & Billing → Subscriptions. Review the status and cancellation details shown there before confirming.
Can I use the response in my work?
Use it as a draft to review and adapt. Verify calculations, facts, rights, and suitability before relying on it. Do not provide information you do not have permission to share.
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