Blog

Train Once, Infer a Million Times: Bayesian Inference That's (Finally) Cheap at Query Time

MCMC re-runs from scratch on every new dataset. Amortized Bayesian inference pays the cost once -- then gives you a posterior in milliseconds, forever. Stefan Radev (BayesFlow creator) and I built an Agent Skill that makes it reliable. Come join us, your first trained amortizer is ~3 minutes away 😉

I Built an Agent That Refuses to Say "Causes"

Coding agents confidently say "X causes Y" without drawing a DAG, checking assumptions, or running refutation tests. I built an Agent Skill that won't let them. 100% eval pass rate vs 68% without -- the gap is in the reasoning, not the code.

A Researcher Stress-Tested My Bayesian Agent Skill. Here's What Broke

A researcher stress-tested my Bayesian Agent Skill on a real hierarchical model. It caught the workflow violations but missed a subtle prediction bug, had no sparsity priors, and lacked classification evaluation. Here's what I shipped to fix it

I Taught My Coding Agent to Think Like a Bayesian

Teach your AI coding agent to think like a Bayesian. Discover the bayesian-workflow Agent Skill that prevents subtle statistical errors in PyMC models.

From Posterior to Profit: How Bayesian Decision Theory Turns Models Into Real Business Value