Multi-Agent Pipeline Live

Automate the Mechanical, Focus on the Original

A multi-agent AI system that researches, outlines, drafts, and reviews scholarly theses — built for students, researchers, grant writers, and departments.

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Three Agents, One Pipeline

Each agent handles a distinct phase of thesis writing — coordinated by a pipeline orchestrator that manages retries, progress tracking, and phase transitions.

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Research Agent

Searches Semantic Scholar and arXiv via Tavily, ranks sources by relevance, extracts structured metadata, and embeds content into vector memory for retrieval.

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Writer Agent

Generates a structured outline, then drafts each section with inline citations and word count validation. Upload your own research files per chapter — the agent uses them as primary data when writing.

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Critic Agent

Reviews each draft section for argument gaps, weak evidence, and style issues. Upload supervisor feedback documents and the critic incorporates them directly into its suggestions.

New Feature

Bring Your Own Research Data

Upload your survey results, interview transcripts, and supervisor feedback. The AI agents read your files and use them when writing and reviewing your thesis.

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Primary Data per Chapter

Attach PDF, DOCX, CSV, or TXT files to any chapter in your outline. The Writer Agent reads them as authoritative primary data when drafting that section — your survey results and interview notes go directly into the thesis.

  • check PDF, DOCX, TXT, CSV supported
  • check Chapter-level tagging
  • check Auto-indexed into vector memory
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Supervisor Feedback

Upload feedback documents from your supervisor. The Critic Agent reads them and incorporates the comments into its section-by-section review — so every suggestion is aligned with what your supervisor actually asked for.

  • check PDF, DOCX, TXT supported
  • check Critic agent reads it automatically
  • check Available on all paid plans

The ThesisAI Edge

Generic LLMs hallucinate citations and produce unstructured output. Our specialized agents are purpose-built for academic writing.

CapabilityStandard LLMsThesisAI
Live Source DiscoverycancelTraining data onlycheck_circleSemantic Scholar & arXiv
Thesis StructurecancelUnreliablecheck_circle6-section academic outline
Source-backed CitationscancelHallucinatedcheck_circleLinked to real sources
Export FormatscancelPlain textcheck_circlePDF, Word & LaTeX
Quality ReviewcancelNonecheck_circleCritic Agent review

How It Works

Four Steps to a Finished Thesis

From your first research question to a fully cited, export-ready document — our AI agents handle the heavy lifting while you stay in control.

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Step 1

Define Your Topic

Enter your thesis title, description, academic level, and citation style. That's all we need to get started.

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Step 2

AI Research Agent

Our agents search Semantic Scholar and arXiv, rank sources by relevance, and build a structured literature base.

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Step 3

Draft & Review

Upload your research files, then let the Writer Agent draft each section using your data. The Critic Agent reviews for gaps and style — informed by your supervisor's feedback.

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Step 4

Export & Submit

Export as a formatted PDF, Word document, or LaTeX file — complete with table of contents and bibliography.

Built for Every Academic

Whether you're writing your first thesis or managing a department's research output, ThesisAI scales with you.

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Students

From undergraduate to PhD — generate structured, citation-backed theses at any academic level.

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Researchers

Accelerate literature reviews, discover relevant papers, and draft publications with real source citations.

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Grant Writers

Build evidence-backed proposals faster with AI-powered research discovery and structured writing.

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Departments

Manage multiple research projects with unlimited access, dedicated support, and institutional pricing.

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AI-powered academic thesis generation. Research, outline, draft, and review — all in one place.

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Start writing your thesis with AI agents that research, draft, and review for you.

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Note: This tool is designed to assist in the mechanical aspects of thesis preparation. Users are responsible for ensuring all outputs comply with their specific institution's academic integrity policies.