Conversation
The automated briefing used a static formatter that only showed counts and first 3 items per section. Now it passes the raw data through the LLM (same as interactive requests) to produce a detailed, contextual briefing. Falls back to static formatter if the LLM call fails. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 7-theme rotation with literature grounding (bioRxiv/arXiv/PubMed) - Feedback loop via Slack emoji reactions (🔥/🤔/👎) - 👎 purges idea from log + embeddings - 🔥 archives to existing Notion Project Ideas DB - Dedup via cosine similarity on separate .npy embedding store - Escalating retry strategy for novelty
- Add deep_research.py: multi-step domain exploration before idea gen - Rewrite themes to push outside comfort zone (microbio, neuro, agriculture, etc.) - System prompt now enforces one-anchor-far-reach philosophy - Broaden default PubMed queries beyond cancer-only - Thumbs-down deletes idea from log + embeddings
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
No description provided.