A resource for counselors

Help an interest become a research project.

Question23 is self-serve software with an AI-guided mentor, initially oriented toward computational and machine-learning research. It brings reading, experiment design, results, code, and manuscript revision into one continuing project.

Explore an idea free.

Who might find it useful?

Students curious about a subject, looking for a sustained independent project, or hoping to build work they can explain with confidence. They can begin with a broad interest or a starting idea. Prior research or coding experience is not required; learning resources are available as concepts become useful.

The student remains the researcher.

The mentor teaches, asks questions, and critiques. Students choose their direction, check sources, judge evidence, explain their methods, and take responsibility for their writing. This is software, not a live human mentoring package. Publication, admission, and a completion date are not promised.

Start with exploration

Save a direction before choosing a plan.

Students create an account and begin free Topic Exploration, including early mentor guidance. A subscription opens the rest of the workspace. Their saved exploration carries forward, and they can send a private checkout link to a parent without sharing their research.

Research

$99 / month

The guided research process, daybook, experiments, manuscript review, and parent progress.

Research Lab

$149 / month

Everything in Research, plus experiment-grounded code generation, code execution with saved outputs, and file/PDF analysis with higher limits.

Compare plans and the purchase process

Counselors do not receive access to student records. Parents can separately use a student-authorized progress view; private conversations, drafts, and results remain private.

Why Question23 exists

Built from the experience of doing the work.

Question23’s founder is a first-year student in Carnegie Mellon University’s School of Computer Science.

The founder coauthored the high-school research paper “Two-stage classification of avalanche problems and danger levels across elevation bands in Colorado,” published in Frontiers in Earth Science on August 24, 2026.

Read the published research

This research predates and inspired Question23; it is not a customer outcome. Neither Carnegie Mellon nor Frontiers endorses Question23.

A description you can share

Use this neutral description when sharing resources with a family.

Family-facing description

Question23 is self-serve software for students who want to explore an interest through independent computational or machine-learning research. Its AI-guided mentor helps with reading, experiment design, interpreting results, and revising a manuscript. Students retain responsibility for their question, evidence, decisions, and writing. Start with free Topic Exploration before choosing a paid plan. Publication and college admission are not guaranteed. Explore an idea: https://question23.com/auth?mode=signup

Questions about the resource? justin@question23.com