
Train the trainer, not the tool
Why capacity building beats deployment every single time.
- 01Tools depreciate; taste compounds
- 02Docs are the deliverable, not an afterthought
- 03Handoff test: could a new joiner run this?
A deployed tool with no internal owner is a rented asset that expires the day the vendor renegotiates. A trained team with taste can pick up any tool and be productive by Wednesday.
We insist on capacity-building sessions in every engagement — not as a nice-to-have appendix, but as the deliverable the engagement is built around. The workflows we ship are teaching material.
The test at handoff: can a new joiner, three months from now, read the docs, run the eval, and understand why the workflow is shaped the way it is? If not, we have not built capacity. We have built dependency.
Voice guardrails for AI content
How to encode taste as a rubric so agents don't drift into slop.
Context is the product
Prompts are cheap; the context you feed the model is the moat.
The zag rule
If your competitor could run your prompt and get the same output, you don't have a brand.
