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

text

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)

text

📰 [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]

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Sources: [count] | Next digest: [time]

Adapt format entirely based on learned preferences.

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References: dimensions.md, preferences.md