On the Chainbase data workbench, I gradually transformed 'inspirational queries' into 'process pipelines'. First, I connect multi-chain data, then use a unified interface to write queries, assembling events, transactions, and logs into the views I need, and finally push them to dashboards or external repositories. The latency and consistency are within acceptable ranges, and there is a compensation mechanism in case of rollbacks; this means I can confidently integrate Chainbase into the daily production workflow. More importantly, the templates and reusable pipelines are increasing, allowing teams to directly share 'working versions', shifting the discussion from 'how to do it' to 'what to do'.
One practical application was to create strategy monitoring for a friend. We parameterized key addresses and metrics in Chainbase, and the charts can update over time. Previously, everyone was used to debating 'how it feels' in the group, but now we first share a view: data speaks, opinions follow. The value of Chainbase lies not only in fast queries but also in turning 'taking a glance' into a daily tool that is 'understandable and respectable'. With clear data, decisions naturally become more stable.