W

weekly-ai-research-reporter

Free

Recovered architecture of a scheduled AI tools and open-source models PDF reporting automation.

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Overview

The Weekly AI Research Reporter is documented as a scheduled research-and-reporting workflow that collects noteworthy AI tools and open-source model updates, organizes findings into a readable PDF, and distributes the report by email. Its workflow is described as a sequence from scheduled trigger through source collection, relevance filtering, deduplication, structured summaries, PDF generation, email delivery, and archive.

The repository is a documentation-only recovery of a previously operating automation. Delivered reports are evidenced in Gmail history, but the original executable source is missing from this laptop and is not included. Surviving Gmail history contains multiple self-delivered weekly PDF reports from July 2026. The original Windows automation source code was not present on this laptop, so this repository preserves the architecture and operating controls without pretending the missing implementation was recovered.

Quality controls include recording source URL, publication date, and retrieval date for every item; separating tool releases, research models, repositories, and commentary; deduplicating repeated announcements across newsletters and social sources; labeling inference and unverified performance claims; and generating the report before email delivery and archiving the exact delivered artifact.

Repository status is documentation-only recovery from ChatGPT and Gmail memory. No private emails, attachments, access tokens, or recipient data are committed. Author: Baavish L. — Computer Science Engineering student and automation builder.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Use Cases

  • Teams use the Weekly AI Research Reporter to collect noteworthy AI tools and open-source model updates.
  • Teams use it to organize findings into a readable PDF.
  • Teams use it to distribute the report by email.
  • Teams use it to record source URL, publication date, and retrieval date for every item.
  • Teams use it to separate tool releases, research models, repositories, and commentary.
  • Teams use it to deduplicate repeated announcements across newsletters and social sources.
  • Teams use it to label inference and unverified performance claims.
  • Teams use it to generate the report before email delivery and archive the exact delivered artifact.

Features

AI assistant

Natural language interface

Workflow automation

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