AI detects documentation changes and notifies only the users whose integrations are affected. Targeted alerts, not noisy changelogs.
Developers miss important documentation updates for APIs they depend on, leading to integration issues when behavior changes without their knowledge. Changelog emails notify everyone about everything, creating noise that gets ignored. The result is production incidents caused by undiscovered breaking changes in documentation.
MultiMail's autonomous mode delivers targeted documentation update notifications matched to each user's actual API usage patterns. Instead of a changelog blast, only users who call the affected endpoints receive the notification — relevant alerts that actually get read.
When documentation, API references, or knowledge base articles are updated, the AI receives the change details including which endpoints, parameters, or behaviors changed.
The AI cross-references the changed documentation against each user's actual API usage patterns. Only users who use the affected features receive the notification.
Each notification explains what changed, why it matters for that user's specific integration, and links to the updated documentation.
Autonomous mode delivers notifications immediately when docs change. Developers need to know about changes affecting their code as soon as possible.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def notify_doc_update(change: dict):
"cm"># Find users who use the affected endpoint
affected_users = get_users_by_endpoint(change["endpoint"])
for user in affected_users:
body = (
f"Hi {user[&"cm">#039;name']},\n\n"
f"Documentation for {change[&"cm">#039;endpoint']} has been updated.\n\n"
f"What changed: {change[&"cm">#039;summary']}\n"
f"Impact to your integration: {change[&"cm">#039;impact']}\n\n"
f"Updated docs: {change[&"cm">#039;doc_url']}\n\n"
f"Your integration calls this endpoint approximately "
f"{user[&"cm">#039;usage_count']} times per day."
)
requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": user["email"],
"subject": f"Documentation updated: {change[&"cm">#039;title']}",
"text_body": body
}
)
notify_doc_update({
"endpoint": "/v1/webhooks",
"title": "New webhook retry behavior",
"summary": "Webhooks now retry 5x with exponential backoff instead of 3x linear",
"impact": "Your webhook handler should expect retries up to 32 minutes after initial failure",
"doc_url": "https://docs.example.com/webhooks"cm">#retries"
})Notify users affected by a documentation change based on their API usage.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def send_doc_release_summary(changes: list, users: list):
for user in users:
"cm"># Filter to changes relevant to this user
relevant = [c for c in changes if user_uses_feature(user, c["feature"])]
if not relevant:
continue
items = "\n".join(
[f"- {c[&"cm">#039;title']}: {c['summary']}" for c in relevant]
)
body = (
f"Hi {user[&"cm">#039;name']},\n\n"
f"We&"cm">#039;ve updated {len(relevant)} documentation pages "
f"relevant to your integration:\n\n{items}\n\n"
f"Full changelog: https://docs.example.com/changelog"
)
requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": user["email"],
"subject": f"{len(relevant)} doc updates relevant to your integration",
"text_body": body
}
)Send a curated summary when multiple documentation pages are updated simultaneously.
"cm">// Doc update notification via MCP
"cm">// 1. Find affected users
const users = await mcp.search_contacts({
tags: ["developer", "uses-webhooks"]
});
"cm">// 2. Send targeted notification
for (const user of users.contacts) {
await mcp.send_email({
from: "[email protected]",
to: user.email,
subject: "Documentation updated: New webhook retry behavior",
text_body: `Hi ${user.name}, the webhook docs have been updated. Since your integration uses webhooks, here's what changed...`
});
}
console.log(`Notified ${users.contacts.length} affected developers`);Use MultiMail MCP tools for documentation update notifications.
Users only receive notifications about documentation changes that affect their actual integration, not every change in the entire knowledge base.
Proactive notification of behavior changes gives developers time to update their code before the change causes production issues.
Targeted, relevant notifications get 3-5x higher open rates than generic changelog emails because developers know the content applies to them.
Autonomous mode sends notifications as soon as docs are updated. Developers learn about changes before they're surprised by new behavior in production.
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