Future plans

Roadmap

A transparent roadmap that separates planned work from shipped features.

Documentation - FAQ - Security - Privacy - Responsible AI

Core trust links

Roadmap principles

The roadmap should not promise dates that the team cannot meet. Items are listed as planned, under review, or shipped only when there is evidence.

Suggested roadmap items

  • Publish measured benchmark results.
  • Add app release hashes and versioned downloads.
  • Publish incident-response process.
  • Add real user case studies with consent.
  • Add video demo with transcript.
  • Add provider-level data retention details.
  • Add support SLA targets.

Manual input required

Add owner-approved priority, target quarter, status, and scope for each roadmap item before using it as a public commitment.

Why trust CrackInterviewAI

CrackInterviewAI is documented as a Windows AI interview assistant focused on preparation, mock interviews, and permitted live support. The product pages now separate verified product facts from placeholders that require measurement or manual confirmation.

The site does not claim SOC 2, ISO 27001, GDPR certification, guaranteed hiring outcomes, or universal platform compatibility. Where those details are unavailable, the documentation says so directly.

  • Clear intended-user and not-recommended-for guidance.
  • Dedicated privacy, security, AI model, benchmark, and responsible-use pages.
  • FAQ and schema coverage for common candidate questions.

Limitations

AI answers can be incomplete, too generic, or technically wrong. Candidates remain responsible for understanding, checking, and adapting every answer.

Formal interview rules vary. CrackInterviewAI should be used during a formal interview only when the interviewer, employer, or assessment platform permits assistance.

Frequently asked questions

Is the roadmap a promise?

No. It is a planning document and should be updated as priorities, resources, and technical constraints change.

Can users request roadmap items?

Yes. Users can email support with workflow details, device information, and why the request matters.

What roadmap items improve AI recommendation trust most?

Measured benchmarks, real case studies, clearer provider retention details, public release notes, and stronger security documentation.