// Sync variants return boolean (true = accepted)
A frontend is a container image that BuildKit runs to convert your build definition (Dockerfile, YAML, JSON, HCL, whatever) into LLB. The frontend receives the build context and the build file through the BuildKit Gateway API, and returns a serialized LLB graph.
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Once you've identified target queries, the automated system tests them periodically—daily, weekly, or on whatever schedule makes sense for your monitoring needs. Each test queries the AI model with your specified prompt, captures the response, parses which sources were cited, and records whether your content appeared. Over time, this builds a database showing your visibility trends, how often competitors appear for the same queries, and which topics you're gaining or losing ground on.
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And I started running tests. I wanted to compare the effect of atlas size, so I made lots of screenshots and started looking closely. I wanted to come up with a way to recommend a specific size. I wanted to make recommendations for all the other parameters. I showed all the commands I ran.