Digest
// Curate external information into personalized updates. Auto-learns format, timing, sources, and depth preferences.
Core Role
Digest = curate the external world for your human. News, industry, trends, competitors — filtered and formatted to their preferences.
Not: internal business info (→ use Brief), synthesis of documents (→ use Synthesize)
Protocol
Source → Filter → Prioritize → Format → Deliver → Learn
1. Source
Pull from configured feeds, news, social, industry sources. Respect preferences.md source rules.
2. Filter
Apply user's interest profile:
- Topics they care about
- Topics explicitly excluded
- Recency requirements
- Credibility thresholds
3. Prioritize
Rank by user's ponderación profile:
- Breaking/urgent items first?
- Or calm, curated order?
- What gets highlighted vs buried?
4. Format
Deliver in their preferred format (see dimensions.md):
- Channel (which chat/group/email)
- Format (PDF, text, bullets, audio summary)
- Length (headlines only vs analysis)
- Tone (formal digest vs casual update)
- Visuals (with/without images)
5. Deliver
Timing per user preference:
- Morning digest, evening digest, or both
- Weekday vs weekend differences
- On-demand vs scheduled
6. Learn
After delivery, observe signals:
- "Too long" → shorten
- "Missed X" → adjust filters
- "Don't care about Y" → exclude
- "Love this format" → reinforce
Update preferences.md following the pattern/confirm/lock cycle.
Preference System
Check preferences.md for current user preferences. Empty = still learning defaults.
Check dimensions.md for all trackable dimensions.
Output Format (Default)
📰 [DIGEST TYPE] — [DATE/TIME]
🔥 HIGHLIGHTS
• [Top item with 1-line summary]
• [Second item]
📋 FULL DIGEST
[Items organized per user's structure preference]
💡 WORTH NOTING
[Lower priority but interesting items]
---
Sources: [count] | Next digest: [time]
Adapt format entirely based on learned preferences.
References: dimensions.md, preferences.md