Integration and automation for companies that run on many platforms.
Puts the claims about AI agents in companies to the test. Each claim gets evidence for and against, a verdict and a design criterion.
Thirteen chapters in Spanish and English, a versioned evidence base and a weekly check that keeps the sources current.
Nine marketing tools that Claude calls to calculate results instead of guessing them: A/B tests, budget splits, attribution and customer segments.
Bayesian model that splits an ad budget across five channels. On Robyn's public demo data, the same spend brings 35% more media-driven sales.
Checked with five independent tests, including a comparison with Google Meridian.
| Date | Repository | Latest commit |
|---|---|---|
| 2026-11-03 | agents-on-trial | docs(h): DESIGN.md y design.json con la portada y la marca; capturas del README |
| 2026-10-31 | marketing-lab-mcp | docs: README con demo, captura y licencias de datos |
| 2026-10-31 | marketing-mix-model | feat: pulir la página: inicio en dos columnas, evidencia en pestañas,… |
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