X Bug Report Monitor
Surfaces user complaints and bug reports about a SaaS product from X over 30 days, ranked by severity and frequency.
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How to Use X Bug Report Monitor
- Enter keyword, @handle or topic in the main input field. Be as specific as possible for better results.
- Configure your preferences: Timeframe, Detail Level.
- Click 'Generate' and wait a few seconds for the AI to process your request.
- Review the generated output. Use 'Regenerate' for a different variation or 'Copy' to use the result.
- Refine your input or adjust settings and regenerate until you're satisfied with the result.
Use Cases
Run a morning sweep for new bug reports about your SaaS before standup so on-call can triage early.
Detect an emerging outage from a spike in "is it down?" posts ahead of your internal alerting.
Collect verbatim repro details from affected users to attach to a Jira or Linear ticket.
Audit a competitor's product for recurring complaints to inform a comparison page or sales pitch.
Surface the top 10 most-discussed bugs after a release to gauge whether a hotfix is warranted.
Tips for Best Results
- Be specific in your input — detailed descriptions produce better results.
- Try generating multiple times with different settings for varied outputs.
- Review and customize the AI output before using it in production.
- Start with a clear brief including target audience and key message.
Frequently Asked Questions
What kinds of posts does the Bug Report Monitor surface?
It targets posts where users report something broken: error messages, outages, login failures, billing glitches, data loss and "is X down?" chatter about the product you name, rather than general opinions or feature requests.
How do I scope it to my product?
Enter the product name as users type it on X, and the official @handle if there is one. Adding the handle helps catch posts that tag support directly, which are often the most actionable bug reports.
How is severity decided?
Severity is inferred from the language and reach of each post, for example wording like "can't log in" or "lost my data" and high engagement push an item higher than a minor cosmetic gripe. It is a triage hint, not a formal incident grade, so confirm against your own monitoring.
Will it catch an outage faster than my status page?
Sometimes. Users frequently post "is anyone else getting an error?" before an internal alert fires, so spikes in matching posts can flag an emerging incident early, but X chatter should complement, not replace, your real monitoring.
Why does it return verbatim posts instead of a summary only?
The exact wording often contains the reproduction steps, device, browser or plan a user was on. Keeping the top 10 posts verbatim with their URLs lets engineers reproduce and reply without guessing at a paraphrase.
Can it distinguish a real bug from user error?
Not reliably on its own. Some posts will be misconfiguration or expected behaviour rather than true defects, so use the frequency signal: an issue reported by many independent accounts is far more likely to be a genuine bug.
What time window does it cover?
The last 30 days. That is wide enough to spot recurring chronic issues yet recent enough that the verbatim posts are still relevant for triage and for replying to affected users.
Does it cost anything?
AICT is free for 5 runs per day with no signup, which is enough for periodic checks. Teams monitoring continuously can upgrade to Pro at $19/month for unlimited runs.
We don't store your text. Processing happens in real-time and your input is discarded immediately after generating the result.
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Free users: 5 uses per day | Pro users: Unlimited
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