About The CareerOS Platform

It connects company intelligence, resume proof, job targeting, mock interviews, coding practice, offer preparation, and AI help in one focused workspace so every action is tied to the role you actually want.

Context first

Your target company, role, country, resume, and JD drive the rest of the platform.

Evidence aware

Resume scoring and Resume AI focus on proof, gaps, and source truth.

Practice loop

Mock interviews include voice, coding tests, whiteboard context, and final reports.

Product Map

How The CareerOS Workflow Fits Together

The platform starts with target context, then turns that context into the work a candidate actually needs: stronger resume evidence, focused prep, realistic interview practice, and offer readiness.

Target Brief

Company, role, country, resume, and JD become the source context.

Roadmap Studio

Expected rounds and prep strategy activate from the target report.

Offer Intel

Compensation bands and negotiation leverage follow the market context.

Resume Lab

ATS score, keyword gaps, proof gaps, and interview questions.

Resume AI

JD-aligned LaTeX resume generation, editing, and PDF export.

Live Interview

Voice, coding, system design, whiteboard, and final rubric feedback.

Feature Deep Dive

What Each Feature Is For

Every module has a job. Some help you understand the role, some improve your assets, and some simulate the interview itself.

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Start here

Target Brief

What it does: Turns your resume, target company, role, country, and optional job description into an interview intelligence report.

How it helps: You stop preparing blindly. The workspace learns the role, likely interview loop, salary context, evidence gaps, and recruiter signals.

Example: For a Backend Engineer role at Stripe in the US, Target Brief can calibrate role expectations, compensation style, loop focus, and evidence needed in your resume.

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Prep plan

Roadmap Studio

What it does: Creates an expected interview loop and preparation strategy from Target Brief.

How it helps: You know which rounds to prepare for first instead of jumping randomly between DSA, system design, projects, and behavioral answers.

Example: After Target Brief, Roadmap Studio may show recruiter screen, coding round, system design, project depth, and bar-raiser style prep actions.

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Negotiation

Offer Intel

What it does: Explains compensation ranges, market context, and negotiation leverage tied to the target role and country.

How it helps: You can reason about base, bonus, equity, currency, and negotiation language without separating offer prep from interview prep.

Example: For India, it can speak in INR/LPA style; for the US, it can frame total compensation with base and equity context.

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ATS score

Resume Lab

What it does: Scores your resume against a real JD and returns ATS signals, missing keywords, proof gaps, and interview prep questions.

How it helps: You see what the resume proves, what it claims weakly, and what the recruiter or interviewer may challenge.

Example: If the JD asks for distributed systems and your resume only says backend APIs, Resume Lab highlights the proof gap before you apply.

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LaTeX resume

Resume AI

What it does: Generates a JD-aligned LaTeX resume using a locked template with anti-fabrication rules, validation notes, source editing, and PDF compile/export.

How it helps: You get a cleaner resume without inventing experience or breaking formatting. You can review and edit the source before exporting.

Example: Upload your source resume and paste the JD; Resume AI rewrites toward the role, then lets you copy LaTeX, download .tex, or compile PDF.

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Practice room

Live Interview

What it does: Runs technical, coding, project, system design, DSA, and behavioral mock interviews with AI follow-ups, voice controls, coding tests, and final reports.

How it helps: You practice like a real loop: one question at a time, with follow-ups, doubts, test runner output, whiteboard context, and rubric scoring.

Example: In a coding round, you get boilerplate, run tests, ask limited doubts, submit code for review, and receive scoring tied to correctness and reasoning.

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Real Workflows

Examples Users Can Understand Quickly

CareerOS is useful because the modules work together. These examples show how a candidate can move through the platform without guessing what to do next.

Backend Engineer targeting a product company

1Generate Target Brief
2Use Roadmap Studio for expected loop
3Run Resume Lab against the JD
4Practice DSA and system design live

Data role candidate with project-heavy resume

1Paste the JD
2Find missing analytics or data engineering keywords
3Rewrite with Resume AI
4Practice project understanding and technical follow-ups

Experienced engineer preparing negotiation

1Create country-aware Target Brief
2Review Offer Intel
3Prepare leverage points
4Use mock interview reports to close communication gaps

Why It Is Different

Built For The Full Interview Loop

CareerOS is not only a resume tool, a job board, or a chatbot. It is a connected preparation system that treats career prep like an operating workflow.

One context across the workflow

Most tools split resume, jobs, mock interviews, and offer prep. CareerOS keeps the target role and evidence connected.

Guardrails against fake resume claims

Resume AI is designed around source truth, validation notes, and a locked template instead of free-form resume hallucination.

Practice includes execution

Coding rounds are not only chat. They include boilerplate, language selection, test runner output, doubts, and AI review.

Repository-aware Stuart help

Ask Stuart can explain platform features and send users directly to the right CareerOS route.

Start In The Right Place

Generate Target Brief First, Then Let The Rest Of CareerOS Activate Around It.

Once the platform understands the target role, Roadmap Studio, Offer Intel, Resume Lab, Resume AI, Live Interview, and Ask Stuart become much more useful.