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Introduction:
Shadowing AI is an interview preparation platform that leverages artificial intelligence to assist candidates in practicing for job, university, and visa interviews. The tool provides live interview simulations, resume scorecards, performance analytics, and a comprehensive question bank, offering feedback generated by an AI version of yourself.
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Shadowing AI Product Information
What is Shadowing AI?
Shadowing AI is a platform that uses AI to help candidates prepare for job, university, and visa interviews. It offers live interview practices, resume scorecards, interview analytics, and a question bank to improve interview performance through feedback based on a GenAI version of yourself.
How to use Shadowing AI?
Users can conduct live practice sessions for job, university, and visa interviews to receive actionable feedback, resume scorecards, and access to a question bank. Additionally, users can explore various career paths and roles, and utilize the recruiter chat feature.
Shadowing AI's Core Features
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Live Interview Practice
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Resume Scorecard
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Interview Analytics
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Question Bank
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Career Paths Exploration
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Role Discovery
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Recruiter Chat
Shadowing AI Use Cases
#1
Practicing for a job interview at a specific company like Amazon or Apple.
#2
Preparing for university admission interviews.
#3
Getting ready for visa interviews.
#4
Improving resume relevance for a desired role.
#5
Understanding different career paths and aligning aspirations.
#6
Analyzing interview performance and identifying areas for improvement.
FAQ from Shadowing AI
How is my video practice analyzed? +
Your video practice is evaluated across three parameters: Domain Knowledge, Articulation, and Body Language. Each category includes sub-metrics such as Response Accuracy, Terminology Match Rate, Response Structure, Supporting examples, Voice accuracy and pacing, Facial expressions, and Eye contact.
Do you share my practice videos with anyone? +
Your practice videos are private and will not be shared with third parties. You have the option to share your sessions with friends or experts to receive feedback on your performance.
What if I am not satisfied with my practice analysis report or result? +
Paid users can submit a request for a re-review, where their practice session will be analyzed by an expert.
What is included in the paid subscriptions? +
We offer two subscription tiers: Lite and Premium. Detailed information regarding these packages is available on our Pricing Page at https://shadowing.ai/pricing.
What is your renewal policy? +
Your Shadowing.ai membership renews automatically. You may cancel your subscription at any time prior to the renewal date via your profile page.
What is the AI Generated Response feature? +
The AI Generated Response feature uses your facial image from the interview to create a revised clone video. This video demonstrates an ideal response to a specific interview question using your own likeness.
How does the Recommended Response work? +
After you answer an interview question, our AI algorithms evaluate your performance. An AI avatar then provides a near-ideal response, emphasizing domain knowledge depth, articulation clarity, and logical answer structure.
Shadowing AI Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Shadowing AI.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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