AI ASSISTANT FOR TROUBLESHOOTING
Troubleshoot & Fix
Issues with AI
When a job fails overnight, you need to understand what actually went wrong. The CloverDX AI Assistant can inspect the run, read the available context, trace the likely source of the issue, and explain the failure in plain language. Where it can, it can also suggest a fix for you to review.
Find the problem. Understand it. Fix it.
Troubleshooting often means jumping between logs, tracking details, component settings, data samples, and project context.
The Assistant brings that information together so you can get to the likely cause faster.
It does not hide the details. It helps you find the right details first.
- Inspect failed or unexpected job runs
- Summarize errors in plain language
- Trace problems to components, data, or configuration
- Review logs and execution context
- Highlight likely causes and next steps
- Help explain failures to developers, admins, or support teams
A failed job can have many visible symptoms: rejected records, schema mismatches, connection issues, timeouts, bad input data, or unexpected component behavior.
The Assistant helps narrow the investigation. It can explain what failed, why that failure matters, and what you should try next.
- Identify where the failure started
- Separate root cause from downstream errors
- Suggest checks to confirm the issue
- Propose changes where it can do so safely
- Help validate the fix by rerunning the job
- Leave a clearer record of what was found
he Assistant can help propose a fix, but troubleshooting still stays under your control. You can review the explanation, inspect the suggested change, edit manually, rerun the job, and promote the fix through your normal process.
That makes it useful for speeding up investigation without turning production support into guesswork.
Use AI Assistant as a troubleshooter
when you need to…
- Understand why a scheduled job failed
- Investigate a problem you did not build yourself
- Reduce time spent searching logs
- Explain an issue to another team
- Check whether a proposed fix makes sense
- Get from failure to next action faster
Build with the AI Assistant
Ask questions, understand graph logic, generate assets, and create first-draft CloverDX pipelines inside Designer.
Plan larger projects
See how the Assistant helps turn specs, notes, files, and existing projects into architecture, decisions, documentation, and build plans.
Troubleshoot failed jobs
See how the Assistant helps investigate failed runs, trace likely causes, explain errors, and propose next steps.
Clover AI Assistant: Frequently asked questions
Here are some questions we've been asked about using the AI Assistant in CloverDX. If you have questions that aren't listed here, we're always happy to answer them - just get in touch.
The Assistant is bring-your-own-key. You configure your own AI provider account in Designer, with support for Anthropic, OpenAI, Azure OpenAI, and Google. CloverDX does not host the model or sell AI usage credits.
No. CloverDX does not host an AI service and is not in the path of your AI calls. The Assistant connects from the Designer machine to the provider you configure, and your data is shared only with that provider under your own contract and governance rules.
Yes, if you allow it. The Assistant can work in read-write mode to build, edit, test, and document jobs, but you can switch it to read-only mode at any time. Admins can also set the MCP Server to read-only globally, which prevents sandbox changes.
During the CloverDX 7.5 tech preview, it is recommended for test and development environments only. The Assistant can read, modify, and run jobs in connected Server projects, so all output should be reviewed before you rely on it.
You need CloverDX Designer and Server 7.5, a CloverDX AI Assistant licence key, your own AI provider API key, outbound network access from Designer to that provider, and a CloverDX Server project. Local projects are not supported. Contact your Account Manager to obtain your license.
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