Evergreen Follow Up Reminders

Follow-Up Reminder Generator

Works with Evergreen, a local-first personal CRM for macOS. Get it on the Mac App Store.

When to Use

• Start of the week: "Who do I need to follow up with?"
• Daily outreach planning: "What's my follow-up list today?"
• After returning from travel or a busy period
• When you feel like you're losing touch with important contacts

How It Works

1. Pull overdue actions with get_overdue_actions and actions approaching their due dates with get_actions_due_soon
2. Shortlist cold relationships with get_relationship_strengths — call it with grade: "Weak" and again with grade: "Dormant" (or set a maxScore ceiling), each with an explicit limit: 100, its maximum. The server scores every contact 0–100 and returns them sorted strongest-first, so one or two calls give you a ranked candidate set without scanning the whole database
3. Resolve each shortlisted candidate to a contact ID with search_contacts({ query: "<name>" }) — get_relationship_strengths returns name, organization, score and grade, but no contact ID
4. Read each candidate's actual Last Interaction date from get_contact (and get_contact_interactions where the timeline matters) before stating any day count. The score blends recency with frequency, depth and variety, so a low grade means "probably cold, go check" — it is a candidate filter, not the verdict
5. To scope the list to part of your network rather than all of it, use the filters search_contacts already exposes (tags, organization, location, hasEmail, hasPhone, overdue, hasNextAction, recent) with an explicit limit: 100, its maximum, since the default of 20 would sweep only a fraction of the database — then say which slices the list came from. Its results carry Last Updated, the record's modification time, not an interaction date
6. Prioritize by: overdue actions first, then high-value relationships, then cadence-based follow-ups
7. Present a ranked list with context for each follow-up

Priority Framework

Example Output

## Follow-Up List — Week of April 7

### Overdue Actions (3)
1. **Sarah Chen** — Send API documentation (due Apr 2) [High priority]
2. **Marcus Webb** — Intro to Jamie at Acme Labs (due Apr 4) [Medium priority]
3. **Lisa Park** — Review proposal draft (due Apr 5) [Medium priority]

### Stale Relationships (5)
4. **David Kim** — Weak (score 32). Last interaction: 45 days ago (meeting). Was discussing partnership.
5. **Rachel Torres** — Dormant (score 18). Last interaction: 38 days ago (email). Offered to help with hiring.

### Cadence Check-Ins (4)
6. **Tom Bradley** — Quarterly check-in due. Last: Jan 15 coffee.
7. **Nina Patel** — Monthly sync overdue. Last: Mar 1 call.

Note that Rachel grades lower than David despite the shorter gap — the score weighs frequency, depth and variety alongside recency. That is why the day counts above come from each contact's Last Interaction field rather than from the ranking, and why the shortlist covers both the Weak and Dormant bands.

Suggested Cadences

No read filters contacts by elapsed time, and neither of the list-style reads returns an interaction date: search_contacts reports Last Updated (the record's modification time, which an enrichment edit refreshes) and get_relationship_strengths reports a score. So shortlist with the grade filters, then compare the Last Interaction date from get_contact against these thresholds yourself, one candidate at a time.

Checklist

Follow-Up Review:
- [ ] Overdue actions surfaced and prioritized
- [ ] Cold candidates shortlisted with `get_relationship_strengths` (Weak and Dormant grades, explicit `limit: 100`)
- [ ] Each candidate resolved to an ID with `search_contacts({ query })`
- [ ] Every day count read from `get_contact`'s `Last Interaction` — never from a score or from `Last Updated`
- [ ] Stale high-value contacts prioritized by relationship value
- [ ] Context and an actionable next step provided for each follow-up
- [ ] List is manageable (5-10 items for the week)

Learn More

• Evergreen — Local-First Personal CRM
• Vibe Coding a Personal CRM
• Evergreen Gets Serious
• Evergreen Gets Even Evergreener