AI Research Digest
Repository-documented workflow using a Claude Code cloud routine to prepare daily AI/LLM research and news digests for economics, finance and operations, with a searchable archive and an audio-briefing build.
Workflow level n/a Source: Repository-documented Outcome: Not empirically evaluated here
Research applicability
A documented starting point for researcher literature monitoring in economics and operations; relevance does not imply systematic-review completeness.
Getting started
Editorial, untested guidance: read README and PROMPT.md, inspect candidate-source and dedup rules, and evaluate a small digest against the original papers before enabling email or audio.
Maintenance
Moving README snapshot only; ongoing maintenance not verified.
License
Rights and licence terms not independently audited.
Workflow & human oversight
Resource-level workflow level unspecified; documented configuration is not verified autonomous operation. Humans control scope and inspect outputs.
Workflow level is not an evidence score; higher is not better evidence.
Limitations
README-only review; PROMPT.md, source-fetching code, generated digests and audio were not audited or executed. Completeness, factual accuracy, delivery reliability and source permissions remain unverified.
Reproducibility
No installation, execution, experiment or independent outcome reproduction.
Adoption requirements
Claude Code cloud routine configuration; repository and Python build environment; Gemini API credentials for the documented audio step. Check provider costs, source access rights and recipient consent; keep credentials and unpublished material private.
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