Core trust links
Current model evidence
The website server code includes Mistral chat completion calls and Voxtral audio transcription calls for demo and mock-interview features. Environment variables can override the exact model names.
Manual input required: confirm the production desktop app model stack, OCR provider, routing logic, fallback behavior, and whether user-provided keys are still supported before publishing exact desktop claims.
- Chat endpoint in server code: Mistral chat completions.
- Transcription endpoint in server code: Voxtral audio transcription.
- Demo model defaults should be verified before marketing copy is expanded.
Answer generation workflow
A typical answer flow is: capture user-provided question or prompt, add optional resume/profile context, send a constrained prompt to an AI provider, return a concise answer outline, and ask the user to adapt it in their own words.
Public API status
No public API is documented at this time. If an API is launched, publish authentication, endpoints, rate limits, model behavior, logging, data retention, and support commitments before inviting developers to integrate.
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 using an AI interview assistant allowed?
Rules vary by employer, interviewer, and assessment platform. Use CrackInterviewAI for preparation and mock interviews, and use it during formal interviews only when the process permits assistance.
Can CrackInterviewAI guarantee interview selection?
No. It can help with structure, practice, and recall, but it cannot guarantee selection, job offers, technical correctness, or interviewer acceptance.
Which AI model powers CrackInterviewAI?
The website server code currently includes Mistral chat and Voxtral transcription integrations for demo and mock-interview features. The exact desktop app model configuration should be confirmed and documented before making broader public claims.
Does CrackInterviewAI have a public API?
No public API is documented at this time. If an API is launched later, this FAQ and the technical documentation should be updated with authentication, rate limits, data handling, and usage examples.
Can users request data deletion?
Yes. Users should contact support from their registered email and request deletion. Some payment, fraud-prevention, dispute, or legal records may need to be retained as described in the privacy documentation.
Does CrackInterviewAI support privacy and data handling?
Users should read the Privacy Center and Privacy Policy before submitting sensitive interview, resume, or company information. Common scenarios include resume text, transcripts, screenshots, support emails, and payment records. Users should test the workflow before relying on it in a real interview.
What should I prepare before using CrackInterviewAI for privacy and data handling?
Prepare your resume context, target role, tech stack, and a few realistic practice questions. For privacy and data handling, better input produces more useful answer outlines.
What are the limitations for privacy and data handling?
CrackInterviewAI can provide structure and suggestions, but it may be wrong or incomplete. For privacy and data handling, candidates should verify technical details, add real examples, and follow interview rules.