Battle-Tested Research Prompts

An elegant, curated gallery of research prompts with proven yield — the actual prompts (and full transcripts) that frontier AI labs released alongside significant, verified research results.

Yield criteria (firm)

All four requirements must hold for a prompt to enter this gallery:

1. The prompt is available — released verbatim by its source (PDF, dataset, or web page) and collected here as .md.
2. It is related to a research task — mathematics, science, or engineering discovery, not a demo or toy.
3. It is battle-tested — actually used in the run that produced the result, not a post-hoc reconstruction.
4. It produced significant yield in its field — a result independently validated by publication in a peer-reviewed venue, wet-lab confirmation, formal verification (e.g. Lean), or expert review. The yield is stated concretely in every entry README.

Never include a prompt without a proven yield.

The Gallery

OpenAI

Entry	Field	Yield	Date
Cycle Double Cover Conjecture	Graph theory	Complete proof of the CDC conjecture (all finite bridgeless loopless multigraphs), via GPT 5.6 Sol Ultra with 64-agent adversarial search	2026
First Proof? — solve/verify/refine templates	Competition mathematics	Programmatic pipeline producing model-verified solutions to 1stproof.org problems (3/4 correct on the BSS seed idea for Problem #6)	Feb 2026

Anthropic

Entry	Field	Yield	Date
Riemann zeta — 67.2% critical-line bound	Analytic number theory	Lower bound on zeros of ζ on the critical line improved from 41.6% to 67.2%; Lean-formalized; expert-reviewed. Launched by a one-line human prompt ("Take a real stab at the Riemann hypothesis") + full sub-agent transcripts	Aug 10, 2026
De novo protein binder design campaign	Computational biology	Wet-lab-confirmed binders against 14/15 targets; 22–35% hit rates vs. 10–15% human baseline; state-of-the-art affinities. ~30k-token autonomous campaign prompt + kickoff messages + 2-sentence chemistry prompts	Aug 18, 2026

Google DeepMind / Google Research

Entry	Field	Yield	Date
Co-Scientist agent prompts & research goals	Biomedical hypothesis generation	Nature-published multi-agent system; lab-validated AML repurposing (KIRA6), anti-fibrotic targets (91% response blockade), and re-discovery of unpublished cf-PICI mechanism	May 19, 2026

Conventions

• Each entry lives in prompts/<lab>-<entry>/ (flat — no per-company nesting):
  • README.md — metadata table (lab, model, field, yield, date, sources) and analysis of the prompt techniques that worked.
  • The verbatim prompt(s) as .md (machine-extracted where the source is a PDF — noted inline, with the authoritative source linked).
  • Full transcripts where released.
• Extraction provenance is documented in an HTML comment at the top of every extracted file; the original source is always linked and authoritative.