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GenCurio
AI Textbook Platform
auto_storiesAI Textbook Platform

Createtextbooksthatinspire

From research to polished chapters — GenCurio automates the entire writing pipeline so you can focus on what matters: great content.

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Free to start · 100 credits on signup

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From idea to textbook, in four steps

Our AI pipeline handles the heavy lifting at every stage.

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Step 1

Deep Research

AI agents scour the web for authoritative sources — academic papers, textbooks, and trusted references — then synthesize them into structured research notes.

Project: Neural Networkschevron_rightPhase 1: Deep Research

Research Phase: Neural Networks

Synthesizing sources, key concepts, and subtopics

Complete
1
Sources
description
Deep Learning (Goodfellow et al.)
stars95%

Ian Goodfellow

Textbookhigh

A comprehensive introduction to the field of deep learning, covering mathematical foundations and modern techniques.

description
Attention Is All You Need
stars92%

Vaswani et al. · 2017

Paperhigh

Introduces the Transformer architecture, replacing recurrence with self-attention mechanisms.

description
CS231n: CNNs for Visual Recognition
stars88%

Stanford University

Coursehigh
2
Key Concepts
Neural NetworksBackpropagationGradient DescentActivation FunctionsLoss FunctionsRegularization
3
Subtopics
subdirectory_arrow_rightConvolutional Neural Networks
subdirectory_arrow_rightRecurrent Networks & LSTMs
subdirectory_arrow_rightAttention & Transformers
subdirectory_arrow_rightGenerative Models
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Step 2

Smart Outlines

Generate structured chapter outlines with logical learning progression — from beginner concepts to advanced topics, with each section building on the last.

Outline › Structure

Structure: Neural Networks

Edit the outline, then draft individual chapters or all at once

drag_indicatorChapter 1Written
Foundations of Neural Networks

Core concepts of artificial neural networks

Biological vs Artificial Neurons
Activation Functions
Network Topologies
drag_indicatorChapter 2Written
Backpropagation & Optimization

Training algorithms and gradient-based learning

Chain Rule & Gradients
Stochastic Gradient Descent
Adam & RMSProp
drag_indicatorChapter 3Drafting...
Writing...
Convolutional Architectures

Spatial feature extraction with CNNs

Convolution Operations
Pooling Layers
LeNet to ResNet
Transfer Learning
drag_indicatorChapter 4Pending
edit_noteDraft
Attention & Transformers

Self-attention and modern architectures

Self-Attention Mechanism
Multi-Head Attention
BERT & GPT
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Step 3

Draft & AI Edit

Write polished chapters with inline AI editing. Select any passage, ask for improvements, and watch suggestions appear as tracked changes you can accept or reject.

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auto_awesomeAI Edit
auto_awesome2 AI edits

Neural networks learn by adjusting their internal parameters the weights and biases of each layer through backpropagation [1].

This process minimizes the loss function by computing gradients and propagating error signals backward [2].

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Analyzing Query
“Add citations for claims”
fact_checkSources Found (2)
Deep LearningSource A

“Backpropagation computes gradients...”


CS231n StanfordSource B

“The loss function measures error...”

AI PROPOSAL
descriptionFinal Draft

Neural networks learn by adjusting the weights and biases [1]...

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Step 4

Knowledge Canvas

Visualize concept relationships in an interactive knowledge graph. See how ideas connect across chapters and discover gaps in your content.

hubKnowledge Canvas
5 concepts · 4 connections
Core Concept
Neural Networks
Algorithm
Backpropagation
Architecture
CNN
Architecture
Transformers
Mechanism
Attention

Everything you need to write better

AI-powered features designed for textbook authors.

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Multi-Model AI

Powered by GPT-4o, Claude, Gemini, and DeepSeek — pick the best model for each task.

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Inline AI Editing

Select any passage and ask AI to improve it. See tracked changes you can accept or reject — like having a writing partner.

Rephrase for clarity
Simplify language
Add examples
Expand section
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Real-Time Streaming

Watch your textbook come to life as AI writes — word by word, with live progress updates.

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Smart Citations

Every claim backed by sources. Auto-generated references with links to original material.

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Knowledge Graphs

Visualize how concepts connect across your entire textbook with interactive canvas views.

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Ready to write your next textbook?

Join educators and authors using AI to create better learning materials, faster.

No credit card required · 100 free credits