We are hitting rate limits on Zapier Central today, so what is the quickest way to rebuild our customer onboarding sequence inside Make instead?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We are hitting rate limits on Zapier Central today, so what is the quickest way to rebuild our customer onboarding sequence inside Make instead?
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
Zapier Central product status rate limits 2026 Make migration alternatives Google ↗
Make.com documentation scenario webhooks routers data stores scheduling error handling onboarding automation Google ↗
- Make vs Zapier: How Are We Different? · make.com
- Scenario settings · help.make.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Zapier Central product status rate limits 2026 Make migration alternatives OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Make.com documentation scenario webhooks routers data stores scheduling error handling onboarding automation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |