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Gaurvendra Pundhir
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Founder Notes

Building PathWise AI: From Career Confusion to Action

Why student-success tools need to move beyond links and dashboards into personalized maps, roadmaps, and coach-ready next steps.

June 20, 2026 3 min read
PathWiseEdTechAI ProductStudent Success

Students do not lack information. They lack a system that turns information into direction.

That is the thesis behind PathWise AI.

Most students can find degree pages, career descriptions, club lists, certification links, internship databases, and advising forms. The problem is that all of those assets still leave students with the hardest question: what should I actually do next?

PathWise is being built around the gap between ambition and action.

The problem with most student-success tools

A lot of career and advising products are built like directories. They surface information, but they do not connect the student’s current situation to a practical plan.

That means students still need to synthesize:

  • what they are interested in
  • what majors fit that interest
  • what careers those majors connect to
  • what skills are missing
  • what courses or certificates help
  • what to do this semester
  • what to bring to an advisor or career coach

That synthesis is where many students get stuck.

The product idea

PathWise should not be another dashboard. It should be an action layer.

That means it needs to help a student:

  1. explore possible directions
  2. visualize pathways
  3. receive personalized recommendations
  4. generate a roadmap
  5. leave with a coach-ready summary

The outcome should not be “interesting information.” The outcome should be prepared action.

Why AI matters here

AI is useful in this context because student pathways are highly contextual. Two students in the same major can need completely different guidance depending on their goals, timeline, constraints, confidence, and prior experience.

But the AI cannot be the product by itself. The product is the workflow around the AI: what data is used, how the roadmap is structured, how a student can question it, and how an advisor can use the output.

What I am learning

The biggest lesson from building PathWise is that AI products become valuable when they change the next step.

A recommender that lists careers is not enough. A chatbot that answers questions is not enough. The product has to turn uncertainty into a plan.

That is the standard I am building toward.

The long-term direction

The bigger vision is a customizable layer for departments, career centers, and student-facing programs. Each organization has different pathways, opportunities, language, and advising workflows. PathWise should be flexible enough to reflect those differences while still giving students a simple experience.

The mission is clear: help students move from confusion to direction, and from direction to action.