Maintain Personal Relationships at Scale

AI tracks important dates and drafts personalized milestone messages. You review every email to keep the personal touch authentic.

The problem

Why this matters

Maintaining personal relationships at scale is impossible when you can't remember hundreds of birthdays, work anniversaries, and important milestones. Generic automated messages feel hollow, but writing individual messages for every contact takes more time than anyone has.

The solution

How MultiMail solves this

MultiMail's AI agent tracks important dates stored in your contacts, drafts personalized messages that reference your relationship history, and queues them for your review. Gated_send ensures every message feels genuinely personal because you approve and can edit before delivery.

1

Store Important Dates

Use add_contact to store birthdays, work anniversaries, and other milestones in contact metadata. The AI agent monitors these dates and triggers messages at the right time.

2

Draft Personal Messages

The agent composes personalized congratulations referencing your relationship context — shared projects, recent conversations, or professional milestones.

3

You Review and Personalize

With gated_send, every message enters the approval queue. Add a personal touch, adjust the tone, or include a specific memory before sending.

4

Send with Authentic Warmth

Approved messages are sent from your email address, arriving as genuine personal communications rather than automated corporate messages.

Try it

Try it with your agent

Pick your platform, copy the prompt, and paste it to your AI agent — it sets up MultiMail and builds the whole flow. Nothing to fill in.

1. Read https://multimail.dev/llms.txt, connect the MultiMail MCP server, create a free inbox, and set up a verified sender. 2. In HubSpot, use the CRM Contacts API to find contacts whose birthday, work anniversary, or custom milestone date is today or within the next 7 days; use contact properties, notes, recent emails, deals, and company context to understand the relationship. 3. Draft warm, specific messages that mention the actual milestone and one relevant relationship detail; use a gentle cadence of 7 days before for high-value contacts, 1 day before for everyone else, and same-day if nothing has been queued yet. 4. Queue every message in MultiMail using gated_send so I can approve or edit before delivery; schedule approved messages for a reasonable local business-hour send time. 5. Use sensible defaults until launch, and ask me only for my HubSpot access, sending domain details, and preferred brand voice before going live.
Benefits

What you get

Never Miss an Important Date

AI tracks hundreds of milestones and sends timely drafts. You never forget a birthday or anniversary again.

Authentically Personal Messages

Gated send lets you add personal touches before delivery. Each message references your actual relationship history, not generic platitudes.

Strengthen Professional Relationships

Consistent personal recognition builds loyalty and goodwill. People remember who acknowledged their milestones.

Minutes Instead of Hours

Reviewing and approving an AI draft takes 30 seconds. Writing a personal message from scratch takes 5-10 minutes. Scale across hundreds of contacts without the time investment.

Oversight

Recommended oversight mode

Recommended
gated_send
Personal milestone messages must sound authentic to maintain relationship value. Gated send ensures you review every message, add personal touches, and maintain the genuine warmth that makes these communications meaningful.
FAQ

Common questions

How does the AI make messages feel personal?
The agent pulls relationship context from contact metadata — how you know the person, shared projects, recent conversations. You can enrich contact records over time so the AI's drafts become increasingly personalized and relevant.
Can I bulk-import contact milestones?
Yes. Use the POST /v1/contacts API endpoint to import contacts with milestone dates from your CRM, LinkedIn connections, or any structured data source. Once imported, the AI agent automatically monitors upcoming dates.
What if I don't want to send a message for every contact?
You control which messages actually send through the approval queue. The AI drafts for every milestone, but you choose which ones to approve, edit, or skip. Over time, you can tag contacts by priority tier to control draft volume.
Can the AI track custom milestones beyond birthdays?
Absolutely. Store any date in contact metadata — founding anniversaries, promotion dates, project launch dates, or any milestone meaningful to your relationship. The AI treats all dates the same way, drafting appropriate messages for each.
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The only agent email with a verifiable sender

Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a hosted MCP server. Formally verified in Lean 4.

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