Tactics for credit efficiency in Hex

What this post added

This post details tactics for optimizing AI credit efficiency within Hex. It explains the effort-based AI pricing model and provides three key tactics: 1. Building out context through table metadata, endorsements, and guides, including programmatic syncing from GitHub and leveraging existing Hex projects as context. It also emphasizes keeping guides concise and using Context Studio to monitor usage and identify areas for improvement. 2. Educating users on smarter prompting, including referencing existing assets like Collections and Data Apps, and reserving high-cost models for complex tasks. 3. Utilizing admin controls for managing and planning spend, such as setting thoughtful add-on caps and per-user credit allocations.