Plain language. Evidence graded.
Writing from BakedIn on AI adoption methodology, the wellness vertical case studies, NVIDIA cert-path retros, and partner stories. Same editorial stance as the wellness app: celebrate science, never prescribe.
- Cadence
- Monthly
- Issue 01
- Coming soon
- Stance
- Celebrate science
Threads · In Progress
What you can expect.
Methodology notes
How TF-AMF gets built, validated, and applied. Per-canon extraction posts, scoring rubric design, blind-judge inter-rater calibration.
Wellness vertical case studies
Real implementation notes from the wellness app. Source licensing patterns, RAG with provenance, lookup-only drug interactions, editorial guardrails.
NVIDIA cert path retros
After each NVIDIA cert pass, a public retro: what the generated pathway covered, what the official course covered, gaps closed, methodology refinements.
Partnership and program notes
What works (and what does not) when applying to NVIDIA Inception, AWS Activate, Anthropic Partner Network, NVIDIA Authorized Learning Partner.
Editorial Stance
Celebrate science, never prescribe.
Every claim is cited to a primary or authoritative source. Drug and supplement content is lookup-only. We surface what evidence shows and attribute it to the authority that produced it. We do not tell anyone what to do.
Methodology and AI-adoption content follows the same rule: named source, named version, traceable provenance. If something cannot be cited, it does not ship.