Contact

For support requests, bug reports, or partnership inquiries, please email: info@montinovo.com.

Average response time is within two business days.

When to contact us

You can write to us for product support, bug reports, usability feedback, accessibility observations, and feature ideas related to prompt sharing. We also welcome operational feedback from teams that use LMGPT in educational, editorial, or technical contexts where prompt quality directly impacts output quality.

To speed up troubleshooting, include the exact page URL, browser version, operating system, and a short reproduction path. If possible, describe expected versus actual behavior and attach a concise example prompt. Structured reports let us validate issues faster and improve reliability for everyone.

For collaboration requests, tell us your objective, audience, and expected timeframe. We can provide practical guidance on how to introduce consistent prompt-writing patterns in internal workflows, onboarding programs, and AI literacy initiatives. Our focus is pragmatic implementation, not generic theory.

If your message concerns legal or privacy matters, include a clear subject line and the relevant context so we can route the request correctly. We aim to respond quickly and provide actionable follow-up, especially when the request affects user trust, data handling, or public-facing communication.

Best way to report an issue

A high-quality report should be short but complete. Start with one sentence describing the impact, then list the exact steps you followed. Mention whether the issue is reproducible every time or intermittent. If the behavior depends on a specific prompt, include a safe sanitized example so we can reproduce it without ambiguity.

If you are reporting a broken link or navigation anomaly, include the origin page and destination page, plus whether you are using local files, a staging URL, or production. This distinction is important because path handling can differ across environments. We can usually identify routing mismatches much faster when this context is explicit.

For UX feedback, include concrete goals such as reduced clicks, better readability, or improved mobile ergonomics. Suggestions tied to measurable outcomes are easier to evaluate and prioritize. We review incoming feedback regularly and map recurring requests into iterative improvements.