I have a PhD-level analysis in my pocket and yet I can’t figure out how to make the most of it...
A quick summary: Deep research is basically a super charged AI model that when prompted on a topic will go through a process of collecting and sourcing complex and deep data on the subject matter resulting in a comprehensive report that you can proclaim is the result of your profound knowledge and discovery on the topic.
And today the landscape of deep research tools has expanded with Perplexity AI's release of its Deep Research Alpha, to accompany OpenAI's ChatGPT Deep Research and Google's Gemini 1.5 Pro.
I used it to give us an overview:
Functional Comparison Matrix
ChatGPT Deep Research | Gemini 1.5 Pro Deep Research | Perplexity Deep Research Alpha | |
|---|---|---|---|
Processing Speed | 5-30 minutes | 15-45 minutes | 10-25 minutes |
Source Evaluation | Automated scoring | Manual adjustment | Multi-iteration verification |
Export Formats | CSV, JSON | Google Docs | PDF, Markdown |
Maximum Input Size | 50MB files | 10M token context | 25MB files |
Compliance Certifications | SOC2 Type 2 | ISO 27001 | GDPR compliant |
Pricing Model | $200/month (100Q) | $20/month (50Q) | Free (10Q) + $20/mo Unlimited |
How do I make the most of it?
It is impressive, but I find myself using deep research then having the urge to ask for a summary:
I have looked for some practical applications for inspiration and this one stood out:
Along with this:
The implications and practical applications are endless. If only there was a pause button so that I could explore it fully before the next profound tool is released…
