Never Miss a Build Failure Again

AI summarizes CI/CD pipeline events with relevant error context and sends them via email — a durable channel that cuts through Slack noise.


Why this matters

Developers miss critical build failures because GitHub notifications and Slack alerts create overwhelming noise. Important pipeline issues get buried in channels with hundreds of daily messages, delaying fixes and blocking deployments. When a build fails at 2 AM, the on-call engineer might not see it until morning.


How MultiMail solves this

MultiMail's AI agent receives CI/CD pipeline events, assesses severity, extracts relevant logs, and sends concise email notifications with actionable context. Autonomous mode ensures zero delivery delay on critical alerts, and email's durability means nothing gets lost in chat scroll.

1

Connect Your CI/CD Pipeline

Configure your pipeline (GitHub Actions, GitLab CI, Jenkins) to send webhook events to your AI agent on build, test, and deployment completions or failures.

2

AI Assesses and Summarizes

The agent evaluates event severity, extracts relevant error messages and log snippets, and identifies which team members are responsible for the affected code.

3

Send Targeted Notifications

Using send_email, the agent delivers notifications to the right developers with error context, suggested fixes, and links to the full pipeline logs.

4

Track Resolution

The agent monitors follow-up commits and pipeline runs, sending a resolution notification when the issue is fixed.


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 MCP server, create a free inbox, and set up a verified sender. 2. In GitHub, create an organization or repository webhook for workflow_run and check_run events, and use it to detect completed workflows, failed check runs, and cancelled deployment gates. 3. For every failed or timed-out run, inspect the workflow name, branch, commit, pull request, actor, failing jobs, annotations, and available logs; classify production deploy, main branch, release branch, security, and repeated failures as critical. 4. Compose a concise email with severity, repository, branch, commit, failed job, likely owner, key log excerpt, retry link context, and the next action; send immediately for critical failures and group low-severity flaky failures into a short digest. 5. Run this in MultiMail autonomous mode so critical CI/CD alerts are not delayed; ask me only for GitHub credentials, sender/domain details, recipient rules, and brand voice before going live.

What you get

Durable Alert Channel

Email doesn't scroll away like Slack messages. CI/CD failures stay in the developer's inbox until acknowledged, ensuring nothing gets missed during off-hours.

AI-Enriched Context

Notifications include relevant error snippets, commit information, and suggested fixes — not just a link to CI logs. Developers understand the issue before clicking through.

Smart Routing

The AI identifies which developers own the affected code and routes notifications to the right people, reducing noise for everyone else.

Zero-Delay Critical Alerts

Autonomous mode delivers pipeline notifications instantly. Build failures and deployment issues don't wait for human approval.


Recommended oversight mode

Recommended
autonomous
CI/CD notifications are event-driven, internal, and time-critical. Build failures need immediate attention, and the content is generated from pipeline data. Autonomous mode ensures zero delivery delay for critical engineering alerts.

Common questions

Why email instead of Slack for CI/CD alerts?
Email is a durable, asynchronous channel. Slack messages scroll past in busy channels and are easy to miss during off-hours. Email notifications persist in the inbox until the developer acts on them. Many teams use email for critical alerts and Slack for informational updates.
Can I filter which pipeline events trigger emails?
Absolutely. Your AI agent controls the filtering logic. Common configurations include: email only on failures, email on all production deployments, or email only when specific modules are affected. This keeps notification volume manageable.
How does the AI determine which developer to notify?
The agent analyzes the commit that triggered the failure, identifies the author, and routes the notification accordingly. For broader failures, it can notify the team lead or on-call engineer based on your contact metadata and rotation schedule.
Does this work with GitHub Actions?
Yes. Your AI agent receives GitHub Actions webhook events, processes them, and uses MultiMail to send notifications. This pattern works with any CI/CD system that supports webhooks: GitHub Actions, GitLab CI, Jenkins, CircleCI, and others.

Explore more use cases

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.