Steppi

The description states that Steppi is an AI-powered tool built with Next.js, React, TypeScript, Tailwind CSS, OpenAI APIs (specifically GPT-5.6 Luna), Zod, and Vitest. It begins with a conversational intake process where students describe their interests, classes, projects, strengths, and practical considerations.

GPT-5.6 Luna synthesizes this conversation into a structured profile and reflection. The system then generates 12 to 15 varied career possibilities presented visually in an unranked format. Students can explore each role through a personalized conversation that explains what the role involves, why it fits or doesn’t fit their interests, its day-to-day experience, and how they might explore it further.

The interface supports natural follow-up questions and allows students to confirm or rewrite what Steppi understood before proceeding.

Inference The tool is built around a loop of conversation → profile → discovery → exploration, which suggests a focus on user engagement over immediate decision-making.

The author positions Steppi as a tool that helps students discover career paths they didn’t know existed, through thoughtful, personalized conversation. It aims to expand possibilities rather than narrow choices, and it is rooted in the creator’s personal experience as an international student navigating U.S. education.

Initially, the product was envisioned as a recommendation engine with only three branches. However, this evolved into a broader discovery model after realizing that students needed to see more options before deciding.

Inference The positioning reflects a shift from AI-driven prediction toward AI-assisted exploration, aligning with the creator’s background in education research and personal need for better guidance.

The description states that Steppi targets high-school and college students, particularly those who lack access to personalized guidance — such as international students or others without institutional support.

It also mentions a focus on students who may not have access to guidance that understands their circumstances.

Inference The ICP likely includes students in transition phases (e.g., from high school to college, or exploring majors), particularly those with limited institutional support.

There is no evidence provided about a business model or pricing structure. The description does not mention monetization, subscriptions, licensing, or any revenue streams.

Not evidenced

Steppi is built using modern web technologies including Next.js, React, TypeScript, Tailwind CSS, and OpenAI APIs (specifically GPT-5.6 Luna). It includes server-side API handling, Zod schema validation, bounded retries, deterministic checks, and automated testing with Vitest.

The interface supports keyboard navigation, reduced motion settings, and mobile/desktop compatibility. The author notes that over 200 automated tests were used to verify functionality.

Inference The technical stack indicates a modern, scalable web application. The inclusion of robust error handling and testing suggests attention to reliability and user experience.

There is no evidence of traction or maturity in terms of users, revenue, customers, or adoption metrics. The project is described as a hackathon submission by one individual (Pope Cruz) with no mention of real-world usage or feedback loops.

Not evidenced

The description does not provide any information about existing competitors or market positioning relative to other tools for career exploration or AI guidance platforms.

Not evidenced

• Lack of traction: No evidence of users, customers, or real-world impact.
• Unproven market need: The author’s claims are based on personal experience and self-reporting; there is no external validation.
• AI reliability concerns: Despite schema validation and retries, the description notes that valid outputs can still be unhelpful or repetitive.
• Single-person development: With only one team member (Pope Cruz), scalability and long-term maintenance may be uncertain.
• Unclear monetization path: No indication of how the product would generate revenue or sustain itself beyond a prototype.

Inference The lack of external validation, user data, or business model makes it difficult to assess whether Steppi addresses a real market need or can evolve into a viable product.

1. What specific feedback have you received from students who tested the tool?
2. How do you plan to validate that the generated career roles are actually useful and relevant to students?
3. Have you identified any potential institutional partnerships (e.g., schools, universities)?
4. What is your strategy for scaling beyond a single developer?
5. Are there any regulatory or ethical considerations around using AI in educational settings?