Resume AI tools

A set of AI modules inside Resume, designed around one recurring problem: users often have the experience, but struggle to articulate it.

Contribution

Product Design

Company

Recruit

Year

2023–2025

Overview

The project focused on three points where articulation breaks down inside Resume: summarizing, recalling, and practicing.

❶ Helping users organize what they already know

An AI summary flow that turns fragmented work history into a clearer professional narrative.

•The summary needed to sound usable and professional while preserving personal tone.

•I added controllable tone and length so the output could shift by context, instead of assuming one summary fits every role.

❷ Helping users say what they have not written yet

A guided interview flow that pulls achievements out through speech and structures them into resume-ready material.

•We avoided a generic chat UI. The interaction worked better when AI felt like an interviewer with a clear job.

•Voice lowered the activation cost and surfaced details that formal writing often suppresses.

❸ Mock interviews for real situations

A mock interview flow that generates questions from both the user's resume and the target job description. Before building it into the product, I validated the premise outside the interface:

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Validate first: Custom GPTs and manual email-based prototypes let us test whether the experience was useful before committing to a full product.

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Designing the evaluation criteria for generation quality: The evaluation framework focused on question realism, feedback quality, and whether the time spent felt worthwhile.

The validation showed that the concept was strong enough to justify a real product, not just a demo.

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