Use the OpenAI project pages already in scope to reconcile usage, model settings, API-key ownership, and launch notes in one review. Strawberry can trace a usage question back to the configuration and source material you selected, so the answer is not assembled from copied screenshots and guesswork.
01
Model work stays tied to the project context.
Open the project, documentation, and supporting notes together, then give Strawberry a concrete outcome. It can turn scattered context into a structured plan, a comparison, or an approval-ready working draft without pretending that one model workflow fits every team.
02
Usage questions get an evidence trail.
When a usage or configuration question matters, the useful answer is not a confident guess.
Strawberry can inspect the tabs and source material in scope, gather the relevant details, and leave a traceable explanation for review.
03
Launch material can start from the real configuration.
Release notes, internal enablement, and customer-facing explanations usually begin with technical settings that are hard to translate accurately. Give Strawberry the approved source context and it can prepare a clear draft that preserves the important constraints.
04
Recurring checks do not need a remembered prompt.
Every Monday, review the pinned OpenAI project pages for usage movement, configuration changes, key ownership, and unresolved launch notes, then prepare the evidence-linked review for the model owner. An unreviewed change to a model setting, project key, or spend-related configuration can alter production behaviour or create avoidable usage costs.
OpenAI Strawberry