We want to book a cost-effective data pipeline audit to figure out why our Redshift queries are suddenly so expensive this month.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We want to book a cost-effective data pipeline audit to figure out why our Redshift queries are suddenly so expensive this month.
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Amazon Redshift cost optimization audit consulting fixed price assessment query performance data pipeline audit 2026 Google ↗
Redshift cost optimization consulting services audit pricing AWS partner Google ↗
- Amazon Redshift Advisor recommendations · docs.aws.amazon.com
- Query analysis and improvement · docs.aws.amazon.com
- Analyzing the query summary · docs.aws.amazon.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Amazon Redshift cost optimization audit consulting fixed price assessment query performance data pipeline audit 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Redshift cost optimization consulting services audit pricing AWS partner OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |