Build a Custom Tool with Bolt Using Natural Language

This guide explains how to create a personalized software tool using Bolt. In this example, you’ll build an EPUB reader that splits books into chapters for easy copying into LLMs.

Who This Is For

• Anyone wanting to build personal tools without coding
• Readers looking for easier EPUB chapter extraction
• Productivity-focused users
• Those who use LLMs to enhance reading

STEP 1: Get started with Bolt

Go to Bolt.new and sign in using Google or GitHub. The interface is minimal, and you can begin immediately using natural language prompts, no coding required.

Bolt works by translating your instructions into a working application.

STEP 2: Describe the tool you want to create

In the prompt field, clearly define the software you want.

Example: building an EPUB chapter reader that:

• Accepts EPUB uploads
• Automatically splits content into chapters
• Allows one-click copying of each chapter

Prompt example:

“Create an app where I can upload an EPUB file and read it chapter by chapter with LLM support. Each chapter should be separated and easy to copy into ChatGPT.”

This removes the need to copy text page by page from traditional readers.

Bolt generates a working interface instantly, ready for testing.

STEP 3: Review output and iterate

Upload an EPUB file to test the tool.

For example, using The Psychology of Money, Bolt may correctly parse content but mislabel chapters.

You can refine it by prompting:

“These chapters are incorrect and don’t match the book structure.”

Bolt updates both parsing logic and UI based on feedback.

Iteration is key, adjustments are fast and responsive.

STEP 4: Extend the workflow with an LLM

Copy a chapter from your tool and paste it into ChatGPT.

This enables:

• Detailed summaries
• Paragraph-level understanding
• Better retention of nuance compared to raw uploads

This approach enhances reading: first analyze with AI, then build your own insights.

Pro Tip: Personal micro-tools are becoming standard. Platforms like Bolt, Cursor, and Replit make it possible to build fast, tailored solutions without writing code.