Insights & Updates

Fable 5 and GPT-Rosalind show frontier AI moving into scientific workflows. The next bottleneck is not intelligence, but evidence.

By Timothy Kassis, PhD

A reproducible study of pKa, logD, tautomers, ADME, and docking run by an AI agent with the Rowan skill, measured against RDKit and experimental ground truth.

By Timothy Kassis, PhD

Anthropic showed a general model can rival ChemDraw at NMR. The real story for scientists: the bottleneck has moved from the model to the workflow around it.

By Timothy Kassis, PhD

AI agents are moving into real scientific workflows. The question for working scientists is not whether they are powerful, but whether they are verifiable.

By Timothy Kassis, PhD

Scientific Agents: 503 open-source AGENTS.md profiles that teach any AI agent to reason like a senior practitioner in a specific science or engineering field.

By Timothy Kassis, PhD

One Agent Skill gives a research agent 78 public scientific and economic databases. Here is the design argument, with real token and routing benchmarks.

By Timothy Kassis, PhD

Our new open source methodology makes AI research agents pre-register hypotheses, work reproducibly, and verify before they claim. Pre-registration over TDD.

By Timothy Kassis, PhD

Exa is now integrated into K-Dense's Scientific Agent Skills library, bringing neural web search and URL extraction to AI-driven scientific research.

By Aubrey Brueckner

K-Dense Web analyzed global RAS mutation prevalence, drug eligibility, statistics, and the clinical-trial landscape in pancreatic cancer (PDAC).

By Aubrey Brueckner