eda-autoidea-bridge

To import autoIdea literature recommendations into your EDA workflow, run the bridge to ingest external autoIdea outputs, validate the input data, and populate the local papers queue and knowledge base.

Merging autoIdea outputs with landscape feedback for governance involves running the bridge script to transform recommended papers and historical formulations, integrating them directly into the current feedback queue.

Ingesting autoIdea idea drafts into a governed report for hypothesis design requires the bridge utility to transform external drafts into updated docs and KB artifacts, facilitating follow-up debate.

Yes, bridging autoIdea outputs requires a Python environment with access to the repository's external_tools/autoIdea data to properly validate inputs and produce updated knowledge base artifacts.

The autoIdea bridge requires repository external_tools directory access to locate and validate external autoIdea generated literature recommendations, historical formulations, and idea-generation outputs for data transformation.

Using the autoIdea bridge without landscape feedback data limits governance and debate capabilities, though the utility can still independently import recommended papers into the local knowledge base and papers queue.