You would expect the output of `ind` to suffice. It this just a "try everything" mentality, or does that visual layout resonate in some way with Opus 4.1.
Or just random noise in a LLM's "reasoning"??

This will enable your agent to explore large JSON files without the need to brute force read most or all of the file (token 🔥)

Additionally maintain an annotated schema file for any core JSON files enabling even more precise examination of the files by the coding agent.

Claude Code then provided the exact commands to create a new IP pool and add it to the cluster, bypassing the need to involve networking specialists."

They fed screenshots of dashboards into Claude Code, which guided them through Google Cloud’s UI menu by menu until they found a warning indicating pod IP address exhaustion.

docs.dagger.io/features/llm

Here’s the official Google summary (not all ai but most at least AI adjacent) blog.google/technology/...

For those of you using premium AI tiers, how do you measure the return on your investment?
Would love to hear your thoughts! What metrics make the cut for you when evaluating high-tier AI subscriptions, especially when weighing them against the value from the ~$20/mo options?

Google AI Ultra: $250/mo
ChatGPT Pro: $200/mo
Claude Max: Starting at $100/mo