Notification Systems
I build alert and notification layers that keep the right people informed at the right time. When agents make decisions, pipelines encounter issues, or something requires human review, notifications ensure nothing falls through the cracks — delivered through the channels your team already uses.
Automation without communication is just a black box
The more you automate, the more important it becomes to close the loop with the humans who depend on those systems.
AI agents can process thousands of items without human intervention, but there are always moments when a person needs to know something — a high-confidence classification that requires sign-off, an anomaly that doesn't fit any pattern, a pipeline that failed at 2am. Notification systems bridge the gap between autonomous operation and human awareness.
The challenge is getting the balance right. Too many alerts and people tune them out. Too few and critical events get missed. I design notification systems with careful attention to urgency levels, routing logic, and delivery timing so that each alert is genuinely useful rather than another source of noise.
What I build
Notification infrastructure designed to keep humans in the loop without overwhelming them.
Email notifications
Transactional emails triggered by agent actions and system events. I build templated, well-formatted messages that provide enough context to act on immediately — not vague alerts that require logging into another system to understand what happened.
Slack and Teams integration
Alerts delivered directly into the channels where your team works. I build structured message formats with actionable buttons, thread-based conversations for ongoing events, and channel routing based on alert type and severity so the right team sees the right information.
Escalation paths
Multi-tier notification routing that escalates unacknowledged alerts to the next level. If a critical alert goes unresponded for a defined period, it moves up the chain — from the assigned handler to the team lead to the on-call manager — until someone acts on it.
Digest vs real-time alerts
Not everything needs an immediate ping. I build configurable delivery modes: real-time alerts for urgent events, hourly or daily digests for informational updates, and weekly summaries for trend-level reporting. Users can set their own preferences per alert type.
Anomaly detection alerts
Notifications triggered when agent behaviour or data patterns deviate from expected norms. Statistical baselines detect unusual volumes, unexpected classifications, or performance degradation and alert the appropriate team before a small issue becomes a large one.
Human-in-the-loop review triggers
Notification workflows that pause agent processing and request human review for edge cases, low-confidence decisions, or high-stakes actions. The reviewer receives the full context, makes a decision, and the agent resumes — creating a feedback loop that improves the system over time.
Need your AI systems to keep humans in the loop?
Tell me about your notification needs. I'll build an alert system that informs without overwhelming.