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Decode your learning model

Study directly from sources. Your tutor guides you when needed and curates the next source.

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Study workspace

Understand how modern LLMs work

1 / 4

01 / Start here

Set a goal worth reaching

Tell DecodeLM what you want to understand.

Study goal

Understand LLM architecture from attention to inference

Start from where you are

The research is clear

AI that answers for you makes you worse at learning. AI that makes you think makes you better.

−17%
Exam scores after AI-assisted practice

Students using ChatGPT scored worse on tests than those who studied without it.

Bastani et al., Wharton / PNAS 2025
2×
Learning gains vs. best human classrooms

A Socratic AI tutor (one that never gives the answer directly) doubled learning in controlled trials.

Kestin et al., Harvard / Scientific Reports 2025
30–50%
Better retention from retrieval practice

Testing yourself beats re-reading. Struggle activates the neural pathways that make knowledge stick.

Adesope et al., 2017 meta-analysis

Every feature in DecodeLM is built around these findings.

Read the full research →

The friction is the point

Read the source. Make the note. Form the connection. The tutor is there to move you forward—not to think for you.

The learning loop

Your work stays at the center

The work you do here becomes something you can return to, review, and build on.

Real sources
Attention Is All You Need
A paper you upload
A published article
01Sources before summaries
→
Your workin progress
A note in your words

“Attention lets each token weigh the context that matters.”

You form the connection, not the model
02Artifacts in your own words
→
What you can demonstrate
Review at the right time

Your explanations become knowledge you can practice later.

FSRS schedules the next review
03Retrieve, don’t reread

Different center of gravity

Built to help you learn, not just get an answer

Good tools can work together. DecodeLM is for the part no generated output can replace: the understanding you build yourself.

Tool
AI chat
NotebookLM
DecodeLM
Optimized for
Answers
Source-grounded outputs
Your learning process
Start with
A prompt
A notebook of sources
A goal and real sources
The AI's job
Respond and create
Summarize, map, generate
Curate and guide when useful
What you keep
A conversation
Generated notes and outputs
Notes, articles, and demonstrated knowledge
What returns later
Chat history
The notebook
FSRS review of what you demonstrated
What others can learn from
A shared answer
A shared notebook
A Study path, sources, and published artifacts

FAQs

Ready to learn deeply?

Start a Study from a goal worth understanding. Free to try, no credit card needed.