Use “Replicate model discovery brief” in Recued. It provides a read-only Replicate model discovery workflow.

How it works 13 steps

Inspect the data fetches, transforms, gates, and output this recipe runs.

Process (13 steps)

■ normalized_query trim

Trim whitespace from setting query

◆ search recued-core.replicate.model.search

Search model on replicate

◆ hardware recued-core.replicate.hardware.search

Search hardware on replicate

■ defaults defaults

Apply defaults

■ model_count count

Count items in models

■ collection_count count

Count items in collections

■ page_count count

Count items in pages

✦ summarize core.ai.summarize

AI generates a concise summary

■ model_rows slice

Take a subset of

■ collection_rows slice

Take a subset of

■ model_table to_table

Format results as a data table

■ collection_table to_table

Format results as a data table

■ card to_summary

Format results as a summary card

▼

Output

summary card

table model_table

table collection_table

Settings 5 configurable

Configurable at install. Defaults shown — change them anytime in Recued.

focus setting = Summarize the best Replicate model candidates for this use case. Compare official status, model owner/name, generated descriptions, tags, relevance scores, usage signals, and practical next steps. Do not invent facts outside the Replicate data.

limit setting = 10

query setting =

row limit setting = 10

max length setting = 900