Dev.to
7/21/2026

Writing a Research Paper with AI: Where Model Intelligence Actually Shows Up
Short summary
A researcher reflects on publishing a preprint in two weeks using AI, contrasting it with years of pre-AI work. The real value wasn't prose generation but AI-assisted paper reading, agent-run experiments, and cross-model peer review that caught subtle topological errors. Models like Fable 5 and GPT-5.6 served as planning partners and reviewers, not just writers.
- •AI's value in research is planning and peer review, not prose
- •Agent-run experiments and AI-assisted reading of dense papers enabled the work
- •Cross-model review (GPT-5.6 catching Opus errors) proved critical for correctness
Generated with AI, which can make mistakes.
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