Claude Opus 4.8 AI Chat Assistant

Executive summary: draft assets support iteration, but cannot be treated as final launch material. Risk: customers may see placeholder-like previews, source ownership may be unclear, and the search image strategy may stay deferred. Controls: asset audit, content ownership checks, and manual page sampling. Decision needed: approve a launch gate that separates content coverage from final asset readiness. Owner: content governance and product marketing owners jointly.

Core thesis: more templates improve example coverage and SEO surface area. Weak assumption: every model deserves equal template depth. Failure mode: thin pages dilute quality and increase maintenance load. Second-order effect: users may trust model pages less if examples feel repetitive. Safer alternative: require one high-quality Prompt example for every model, then six only for strategic or high-traffic models. Next test: measure model page engagement before expanding the long tail.

Goal: make reviewed content records the source of truth for examples. Current architecture: pages still read a mix of inline examples and derived UI props. Target architecture: server code reads published records by content type and keeps compatibility only during migration. Steps: add an aggregation layer, update public pages, update audits, document compatibility behavior, then remove legacy fields after coverage. Tests: content check, media audit, model content audit, typecheck, and page sampling.

Change summary: the home page now derives its featured example on the server and passes it into client blocks. Behavior impact: Hero, Features, and Gallery receive the same reviewed example without client components importing server-only modules. Why this approach: it preserves static rendering and keeps ownership boundaries clear. Verification: typecheck should confirm the prop contracts. Residual risk: page sampling is still needed to confirm the example rail looks right on mobile.