ResearchForge Blog
Practical case studies, benchmark breakdowns, and reproducible AI research workflows for teams using Claude Code, Cursor, and evidence-first experimentation.
RMSE 15 → 6: How I Used an AI Research Loop on a $50k Kaggle Competition
How systematically grounding experiments in literature — and tracking every rejection with reasons — cut prediction error by 60% on the ROGII Wellbore Geology challenge.
Bronze Medal in Progress: Using ResearchForge on ARC Prize 2026
Graph-frontier exploration (hyp-002) outperformed every hand-tuned probe approach. ResearchForge tracked the chain from base score 0.08 to 1.21 across 4 validated variants.
Coming soon
Claude Code vs Cursor for AI Research Workflows: Where Each One Wins
A practical guide to choosing between Claude Code and Cursor for literature review, hypothesis generation, experiment execution, and evidence-first shipping.
The AI Research Benchmark Checklist Every Team Should Use Before Shipping
Before you ship a “winner,” the real question is whether it was measured, reproduced, and compared against a fair baseline. We break down the checklist.
Reproducible AI Research Without Notebook Chaos: A Practical Workflow
Notebook experiments are easy to lose, hard to compare, and even harder to defend. Here is the workflow that keeps each result grounded and reviewable.
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