Relationship Memory
Contacts
Contacts is your relationship memory: people, notes, contact details, tags, reminders, and who Spark can proactively help with.
What Contacts is for
Contacts is the durable memory layer of Spark. It is where people, contact details, notes, reminders, relationships, tags, closeness, cadence, and AI opt-in settings come together.
Spark is not trying to turn this into a CRM. There are no pipelines or team workflows here. The goal is a personal memory system that helps you act thoughtfully without asking you to maintain a sales database.
- Use Contacts to find people, review context, and decide who Spark can proactively help with.
- Use contact detail pages for the full history and editing surface.
- Use the global Spark button when you want to add or change memory without hunting through forms.
Imports and privacy
Spark imports from device contacts and supported explicit import flows. It does not ask for full Gmail or LinkedIn scraping, and it does not enrich your network from public profiles behind your back.
Imported information becomes your relationship data. Spark can use it to search, draft, remind, and organize, but every outreach message remains reviewed by you before sending.
- Device contacts are the main import source.
- Notes from imports can seed relationship memory when available.
- You can add people manually when you do not want to import a larger address book.
Search, filters, and sort
Search helps you find people by name, organization, notes, and contact details. Filters narrow the list by relationship metadata such as tags, closeness, or AI-enabled state.
Sorting changes the question the list answers. Alphabetical sort is best for lookup. Recent or relationship-oriented sorts are better when you are scanning for who needs attention.
- Use the alphabetical rail for fast jumps in larger networks.
- Use filters when you want a working set, such as close contacts or AI-enabled contacts.
- Clear filters when you cannot find someone you expect to be there.
The Me row
The Me row opens your own Spark profile. It stores relationship context about you: work, places, links, important dates, relationships, notes, and how you write.
This is not billing or account security. It is the context Spark needs to understand shorthand like your clients, family, school, team, neighborhood, or recurring events.
- Add your role, organizations, important places, and recurring groups.
- Add notes about how you prefer to communicate.
- Keep sensitive account information out of About Me; it is relationship context, not a password vault.
AI-enabled contacts
AI-enabled contacts are the people Spark can proactively consider for check-ins and quick questions. This opt-in matters because every imported contact starts with a default cadence, and suggesting generic check-ins for everyone would create noise.
Birthdays and reminders can still appear for any contact. AI check-ins are different: they spend AI attention on people you have chosen, and they are limited by your tier.
- Free users can enable AI for a small starter set of contacts.
- Pro and Power expand the number of AI-enabled contacts and daily AI suggestions.
- Disable AI for contacts where you only want manual notes, dates, or reminders.