Is The New GPT-4 Deep Research Tool Any Good? Here’s What I Found
Last Updated on August 29, 2025 by Editorial Team
Author(s): John Loewen, PhD
Originally published on Towards AI.
Prompting to explore data visualization research capabilities
As a data science professor, I have been using GPT-4 daily for more than 2 years to help me with my work. And wow, it really is an outstanding and indispensable tool for many data science and writing tasks.

The article discusses the author’s experience with GPT-4 in data science and writing tasks, highlighting its capability as a research tool while also addressing its shortcomings. It emphasizes the improvements made in the GPT-4o version, particularly the introduction of a “Deep Research” tool designed to enhance research capabilities. The author evaluates how effective this new tool is in providing accurate and consistent research information, contrasts its performance in various tasks, and suggests areas where it still needs improvement, particularly in generating compelling and creative outputs for data storytelling.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.