AI for Academic

About

A compact studio for academic AI tools.

If you want the workspace, go straight to the pipeline. If you want the context, the questions on this page should cover it.

Founders

Who is building AI for Academic?

AI for Academic is a small two-person studio: a clinician-researcher driving the product direction and a senior software engineer leading the build.

Tuyến Trần, MD

Founder · Clinical & product lead

Pediatric and plastic surgeon at Vinmec, Vietnam. Builds the product from the perspective of a working clinician-researcher operating outside large English-speaking institutions.

  • Clinical: pediatric and plastic surgery
  • Research: clinical studies, long-term outcomes, academic publishing
  • Product direction & CIVER research-integrity framework

Nguyễn Ngọc Linh

Lead developer

Full-stack software engineer with 10+ years of experience building fast, reliable, and scalable web platforms. Linh leads the technical architecture, product experience, and AI/LLM workflows behind AI for Academic from concept to production.

  • End-to-end experience across frontend, backend, infrastructure, data, security, and operations
  • Strengths: TypeScript, Python, Java, Next.js, NestJS, React, mobile apps, clean architecture, and scalable systems
  • Focused on AI agents, LLM workflows, and research-oriented web products

The story

Why does this studio exist?

Because academic work is often harder than it should be, especially for researchers working outside large English-speaking institutions.

The goal is not to replace scientific judgment. The goal is to reduce friction around searching, translating, drafting, and checking so researchers can spend more energy on the actual science.

How it works

What does the product actually do?

The main workspace is a direct pipeline: ask a question, gather sources, turn the shortlist into a draft scaffold, then run an integrity check.

Other tools stay available as focused utilities when you only need one part of that workflow.

Pipeline: sources → draft → integrity check (CIVER)
Research Mentor: 3-phase idea engine, gate, and outline
Paper Checker: citations, AI risk, similarity, peer review
Polish: journal-style prose refinement

What we believe

What principles shape the tools?

AI should assist thinking, not replace it.

Credibility matters more than sounding impressive. The product should say exactly what it can do, where the evidence is thin, and where the user still needs to decide.

The user owns the science.
The tool should surface uncertainty, not hide it.
Academic integrity is part of the product, not an afterthought.

Focus areas

Which problems does the studio care about most?

The focus is narrow on purpose: academic writing workflows, research integrity, translation, and practical tools for clinicians and researchers who need useful output quickly.

Research integrity
Academic translation
Drafting support for clinical and academic manuscripts
Workflows for Vietnamese and cross-language researchers
About | AI for Academic