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Replicate model discovery brief

by recued-core v1 8 views

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 ?
hardware ?
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 ?
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
Settings 6 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 =
replicate setting =
row limit setting = 10
max length setting = 900

Trust & control

What installing this recipe would let it do. Recued grants these permissions at install — review them there before approving.

Permissions it requires

Read your Replicate connection
Declared by the recipe — Recued grants these at install, where you review them before approving.

About

Tags

replicate replicateaimodelsdiscoveryai-summarypack:replicate

Details

13 steps 6 configurable settings recipe_id: model-discovery-brief-replicate