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Role Pilot

A private AI-assisted career tool concept for matching roles, structuring applications, and helping candidates reason about fit.

Role
AI product engineer
Timeline
2026
Type
Private AI tool
Team
Solo build
Next.jsTypeScriptLLMsPostgreSQLTailwind CSS

Private build · case study only

case-study/role-pilot.tsx
Role Pilot project visual
// 01. Overview

Project overview

Role Pilot is a private build and case study for an AI-assisted job search and role-fit workflow.

The product direction focuses on structured reasoning: comparing role requirements, candidate experience, resume evidence, and application strategy.

// 02. Problem

The product problem

Job seekers often manage roles, resumes, notes, and interview prep across disconnected tools, making it hard to see patterns or prioritize effort.

The AI challenge is to provide helpful structure without producing generic advice or overconfident fit scores.

// 03. Solution

Solution direction

Role Pilot treats each job as a structured workspace with requirements, evidence, gaps, and next actions.

AI support is framed as drafting, comparison, and reflection rather than final decision-making.

// 04. My Contribution

What I owned

  • Defined the product workflow for role intake, fit analysis, and application planning.
  • Designed data structures for role requirements, candidate evidence, and generated notes.
  • Planned AI boundaries for summaries, gap analysis, and tailored prep prompts.
  • Built a case-study-ready architecture for future private iteration.
// 05. Key Features

Feature system

feature.01

Role workspace

Each opportunity has structured notes, requirements, evidence, and next actions.

feature.02

Fit analysis

AI helps compare experience against job requirements while keeping gaps visible.

feature.03

Application planning

The tool organizes resume updates, outreach notes, and interview prep tasks.

feature.04

Human-in-the-loop output

Generated content is presented as draft support, not an automatic decision.

// 06. Technical Architecture

How the system fits together

architecture.map
system view
LayerResponsibilityTools
Client
Role boards, fit views, notes, prep flows
Next.js, React
AI services
Summaries, comparisons, gap analysis, draft generation
LLM APIs
Domain data
Roles, requirements, evidence, tasks, generated artifacts
PostgreSQL
Privacy boundary
Private build assumptions, sensitive user data handling
Server-side API design
orchestration.ts
const fitReport = await rolePilot.analyze({
  role,
  evidence: candidate.experience,
  mode: "assistive_not_decisive",
});
// 07. Challenges & Decisions

Engineering decisions

Avoiding generic AI career advice

decision.01
Decision

Ground outputs in explicit role requirements and candidate evidence.

Result

The product can produce more useful guidance with clearer limitations.

Keeping sensitive career data private

decision.02
Decision

Treat Role Pilot as a private build and keep source/demo access closed.

Result

The case study can describe architecture without exposing user data or implementation details.

// 08. Outcome & Status

Where the project stands

Role Pilot is a featured private build with a public case study only.

The project demonstrates AI product thinking, structured workflow design, and privacy-conscious architecture.