I've been building an AI execution platform called NUDGE, and I wanted to put its Research Mode through a serious test — something rigorous enough to see how it would stand up against the major LLMs.
I chose a doctoral-level assignment: a complete Chapter 2 Literature Review for a dissertation on AI-driven decision systems in enterprise environments.
Before execution, I configured a detailed research brief inside the NUDGE Wizard — specifying thematic clusters, theoretical frameworks, APA 7th edition formatting, a 7,000–8,000 word target, success criteria, and internal milestone instructions for how the chapter should be structured. NUDGE then sourced a minimum of 25 peer-reviewed references autonomously and executed the full chapter without any further input from me.
I set it to autonomous and walked away.
26 minutes later — no prompting, no guidance, no babysitting — it delivered:
- 50 pages
- 8 fully completed sections
- Doctoral-register prose
- Citations sourced through 2026
- Zero placeholders or cut-offs
For comparison I ran the same assignment on a leading AI chat platform. It returned 5 pages with stale citations and partial sections.
I put together a short video walking through the output, the setup, and the side-by-side comparison: [see YouTube link]
Would genuinely love feedback from researchers and doctoral students on whether this kind of output is actually useful in practice — and where you'd expect it to fall short.