Study materials, built for you by AI agents that read, research, and run code.
Scholarly isn't a single chatbot. Every feature is run by an autonomous AI agent that reads your sources, reasons across multiple models, researches the web, and runs code in its own sandbox — then hands you a finished, cited artifact.
Free to start · No credit card required
- Read 3 PDFs and a lecture recording you uploaded
- Researched two gaps on the web and cited the sources
- Wrote and ran code to render slides, narration, and captions
- Delivered a 9-minute video lecture, grounded in your material
What makes it an agent, not a chatbot
A chatbot answers one prompt at a time. An agent plans a goal, uses tools, checks its own work, and keeps going until the artifact is done.
Multiple models
Each step is routed to the model that does it best — reasoning, writing, vision, or speech — instead of forcing one model to do everything.
Its own sandbox
Every agent gets a private compute sandbox where it can transform data, render files, and build the final artifact safely.
Web research
When your sources leave a gap, the agent searches the web, reads what it finds, and cites it alongside your own material.
Grounded in your sources
Agents start from the PDFs, notes, slides, and recordings you upload, so the output reflects your actual course — not the open internet.
Plans and self-reviews
The agent breaks the goal into steps, runs them, then checks the result against your sources and fixes mistakes before handing it back.
Built for the job
Each agent is tuned for one outcome — a deck, a quiz, a lecture — so it knows the format, pacing, and quality bar you expect.
How a Scholarly agent works
Every create action — flashcards, a video lecture, a study guide — runs through the same four stages.
Read your sources
The agent ingests and understands the files you uploaded, including PDFs, slides, recordings, and notes.
Plan and research
It outlines the work, decides which models to use, and researches the web to fill any gaps your sources don't cover.
Run code in its sandbox
It writes and executes code to compute, format, and render the artifact — slides, audio, tables, or video.
Deliver and cite
The agent self-reviews against your material, attaches citations, and saves a finished artifact to your workspace.
An agent behind every tool
These aren't templates — each is a purpose-built agent that does the work end to end.
AI Video Lectures
An agent scripts, narrates, and renders a full video lecture from your notes.
Deep Research
A research agent plans, searches the web, and writes a cited report.
AI Slides
An agent designs and builds a presentation deck from your sources.
AI Podcasts
Two AI hosts discuss your material in a natural, listenable episode.
Quizzes & Exams
An agent writes practice questions that test understanding, with answer keys.
Study Guides
An agent distills your sources into a structured, exam-ready guide.
We build the agents — you get the results
Scholarly isn't a platform where you wire up your own bots. We design, tune, and maintain the AI agents so that every student gets expert-grade study materials on the first try — no prompt engineering required.
Expertly tuned
Each agent is built and refined by us against thousands of real student materials.
Zero setup
Pick a tool, add your sources, and the right agent runs automatically.
Always grounded
Every agent is built to cite your material and refuse to invent facts.
AI agents, explained
What is an AI agent on Scholarly?
It's an autonomous program that takes a goal — like "make a video lecture from these PDFs" — and completes it end to end. It reads your sources, plans the work, uses multiple AI models, researches the web when needed, runs code in a sandbox, and delivers a finished, cited artifact.
How is an agent different from a chatbot?
A chatbot replies to one message at a time and waits for you. An agent plans a multi-step task, uses tools, checks its own output, and keeps working until the artifact is complete — without you having to prompt each step.
Which AI models do the agents use?
Agents route each step to the model best suited for it — strong reasoning models for planning, writing models for prose, and dedicated models for vision and speech. On paid plans you can also choose which model writes certain artifacts.
Can the agents really run code and search the web?
Yes. Each agent has a private sandbox where it writes and runs code to compute and render your artifact, and it can search the web to fill gaps your uploaded sources don't cover — citing whatever it uses.
Can I build my own agents?
Scholarly isn't a build-your-own-bot platform. We design and maintain the agents so you don't have to. You bring your material, pick the tool, and the right agent does the work — no prompt engineering or setup needed.
Put an AI agent to work on your material
Upload your sources and let a purpose-built agent turn them into flashcards, lectures, quizzes, and more.
Free to start · No credit card required