My Crafted Career

The description states that My Crafted Career is an evidence-first personal career-intelligence system. It uses:

• A Career Goal Profile, which describes a user's desired direction (employment model, training needs, stability, location, development priorities).
• An Evidence Bank, containing verified experience, transferable skills, gaps, knowns, and unsupported statements.
• OpenAI Deep Research to investigate real opportunities across four target-market groups.
• A deterministic workflow that separates:
  • Career goals from current qualifications
  • Public employer facts from candidate facts
  • Verified evidence from unresolved information
  • Model-generated drafts from reviewed content

It also includes:

• Transparent, rule-based opportunity ranking
• Application preparation with grounded evidence
• Human approval for final versions
• Outcome tracking without rewriting history

The system is described as not being a résumé generator but rather a decision and evidence system that carries research, goals, proof, application content, human approval, and outcome learning through one governed workflow.

The author claims My Crafted Career is different from most AI career tools because it:

• Optimizes for evidence, not volume or keyword similarity.
• Asks: “What can this candidate actually prove, which opportunity fits the career they are trying to build, and where should they invest their effort?”
• Keeps several boundaries separate:
  • Career goals vs. qualifications
  • Public facts vs. candidate facts
  • Verified evidence vs. unresolved information
  • Direct vs. transferable experience
  • Model output vs. reviewed content
  • Historical facts vs. inference and future strategy

This positioning suggests a shift from persuasive presentation to truthful decision-making, with AI used as a structured assistant rather than a creative author.

The description does not clearly define a specific customer segment or ideal customer profile (ICP). It implies the tool is for individuals navigating career transitions, particularly those who:

• Have moved into tech since 2020
• Want to avoid misrepresenting experience
• Prefer accurate expectations over winning interviews by impression
• Are interested in strategic career moves based on evidence

The author identifies himself as the primary user and creator. No external users or personas are mentioned.

There is no evidence of a business model or pricing structure. The project is described as a personal tool built for a hackathon submission, not a commercial product.

The system uses:

• Next.js, React, TypeScript
• OpenAI Responses API with GPT-5.6
• Codex for implementation and testing
• Zod Structured Outputs
• Vitest for automated tests (245 passing tests across 14 files)
• Static fixtures and typed domain contracts
• Deterministic logic for validation and ranking

It is deployed on Vercel, and the final release works without an API key or live model call.

AI integration is limited to:

• GPT-5.6 for clarification, planning, and refining the demo
• Model-generated drafts that remain unapplied
• No live submission, approval, or outcome determination via AI

There is no evidence of traction, revenue, customers, or adoption beyond the author’s own use case. The project is described as a:

• Solo-built hackathon submission
• Personal system for career transition
• Demonstrated through a fictional identity (Alex Morgan)
• Sanitized replay of real-world outcomes

No data on usage frequency, user retention, or product performance post-submission is provided.

The description does not mention competitors. However, it contrasts My Crafted Career with:

• Traditional résumé services
• Career centers and recruiters
• Generic AI job-search tools that focus on keyword alignment or persuasive phrasing

It positions itself as a decision-support system rather than a document generator, suggesting a niche in evidence-based career planning.

• No external validation: The tool is entirely self-reported and unverified.
• Single-person operation: No team, no product development process beyond one individual.
• Limited scope: Designed for personal use, not scalable or commercialized.
• Unproven market demand: No evidence of users or market interest beyond the author’s experience.
• AI dependency without autonomy: AI is used only for drafting and clarification; decisions remain human-controlled.

1. What specific problems did you encounter during your own career transition that led to building this?
2. How do you plan to validate whether users find value in the system beyond personal use?
3. Are there any plans for user data persistence or long-term tracking of outcomes?
4. Has anyone else used or tested the system outside of the demo?
5. What would constitute success for this product if it were commercialized?