Build Your First AI Research Assistant with Claude Code: Create an Automated Research Agent with Python, APIs, Web Search, and Claude Code: An Independent Guide – Kobo eBook

Research takes hours you do not have. You open twenty tabs, skim half of them, lose the one quote you needed, and end up with notes you cannot trust. This book shows you a better way: build your own AI research assistant with Claude Code and Python a working tool that searches the web, reads sources for you, and hands back reports where every claim carries a citation you can check.

You will build the assistant in layers, one working piece at a time. Claude Code acts as your development partner planning the project, writing and testing code with you, and keeping the work organized while the Python application you create does the actual research: calling search APIs, extracting text from webpages and PDFs, judging source quality, and comparing what sources say before writing a single sentence of the final report.

Inside, you will learn how to:
Install Claude Code and set up a clean, safe Python project
Write a CLAUDE.md file that keeps every coding session on track
Collect search results through APIs and save them as trusted source records
Extract clean text from webpages and PDF documents
Design structured output you can verify instead of guesswork
Evaluate sources, spot duplicates, and compare findings across them
Generate clear reports with real citations and automate recurring research safely

No research experience is assumed, and no advanced programming background either. If you can follow clear steps and run a few terminal commands, you can build this. Every chapter adds one layer to the same project, ends with something that actually works, and shows you how to test it so you always know what your assistant is doing and why. You also learn the habits that keep an AI tool honest: cost controls, failure monitoring, and a human review step before anything important ships.

By the final chapter, you will have a research assistant that runs on your own machine, organizes everything it finds for reuse, divides bigger jobs between skills and subagents, and connects to outside tools through MCP with you firmly in the loop. It is a real system you understand end to end, not a demo that falls apart on the second question.

If you are a founder, analyst, writer, student, or curious builder who is tired of drowning in tabs, this is your project. Open your terminal, start with one research question, and build the assistant you have been wishing existed.

An independent guide, not affiliated with or endorsed by Anthropic.