Case study
Context engineering: a doctrine every writing agent loads
Five competing schools of copywriting, graded on their evidence and resolved into one set of rules an agent can follow.
- evidence-graded research briefs
- 5evidence-graded research briefs
- axioms the agents apply
- 10axioms the agents apply
- tensions resolved with a written stance
- 8tensions resolved with a written stance
Figures measured 2026-09-13.
The problem
Prompting an agent to "write good copy" produces the average of everything it has read. Copywriting advice also contradicts itself: urgency against trust, narrative against front-loading, voice against clarity.
What was built
Wrote five research briefs, one per school (direct response, conversion copywriting, positioning, jobs-to-be-done, UX writing), each graded on the strength of its evidence. Only message-level changes carry measured effect sizes in A/B research, and the brief says so.
Resolved each conflict with a written house stance and a reason: manufactured urgency is banned, prices are fully transparent, clarity wins when it collides with voice.
Packaged it as a skill the agents load: the doctrine, a context map (persona, awareness stage, page family, entry point), and step-by-step workflows for each writing job.
What changed
Every page rewrite since runs against the same written standard, so a reviewer checks output against rules rather than taste.
Inside your team
Any team using LLMs for customer-facing text needs exactly this: the house standard written down where the model can load it, with the conflicts already decided.