Heartbeat AI — The Always-On Assistant
Heartbeat AI is always-on — an observer that listens to the rhythm of your digital world and takes context-driven action when it matters.
AI event-driven context always-on
Most AI tools today wait for you to ask a question. Heartbeat AI doesn’t.
It’s not a chatbot. It’s an observer. A listener. A helper that thinks when you don’t have time to.
While traditional AI sits idle between prompts, Heartbeat AI quietly watches the rhythm of your digital world — your calendar, notes, tasks, messages, and metrics — and takes action when it matters.
Event-Driven, Not Timer-Driven
Heartbeat AI doesn’t rely on fixed intervals or cron jobs. It’s event-driven, meaning it wakes up when signals appear.
Those signals can come from anywhere:
- A new row added in Airtable
- A change in your GitHub repo
- An incoming message in Slack
- A new calendar event, email, or note
- A trigger from your n8n workflows
Once a signal hits, Heartbeat AI reads the context, updates its internal state, and decides what needs to happen next.
No wasted cycles. No “check every minute” logic. Just intelligent reactivity.
Built to Connect
Heartbeat AI can ingest structured and unstructured data from multiple systems — think Notion, Google Calendar, Firebase, GitHub, Linear, or custom APIs.
By connecting through n8n, it can subscribe to virtually any data source or event stream, turning your ecosystem into one unified, living context map.
Your digital footprint becomes fuel for understanding patterns, priorities, and pain points.
Integrated with Empirical
Where Empirical collects, organizes, and reflects on your personal data — Heartbeat AI acts on it.
Empirical becomes the long-term memory; Heartbeat is the attention system — scanning for changes, surfacing insight, and prompting intelligent action.
Together they form an adaptive loop:
Observe → Interpret → Act → Reflect
What It Can Do
Heartbeat AI is more than automation — it’s autonomy guided by context.
Imagine these scenarios:
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Project awareness: You merge a pull request; Heartbeat notices the connected issue isn’t closed, summarizes the change, and posts an update to your team’s channel.
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Health and habit nudging: You’ve logged low sleep and skipped workouts; Heartbeat suggests moving your morning meeting back 30 minutes.
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Focus recovery: After detecting task-switching and screen time spikes, it quietly sets your Slack status to “Heads Down” and mutes distractions.
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Personal follow-up: You mention “reach out to Alex” during a conversation — Heartbeat adds it to your tasks, sets a gentle reminder for next week, and logs the context.
It’s not about replacing initiative — it’s about protecting your intent.
A Living AI, Not a Static Bot
This is where the paradigm shifts.
Heartbeat AI keeps thinking, even when you’re not typing. It maintains rolling context, builds semantic awareness of your behavior, and continues reasoning as new data arrives.
It doesn’t wait to be asked. It notices. It responds. It remembers.
The Vision
In a world flooded with disconnected data, Heartbeat AI offers something rare: continuity — a through-line between your actions, your information, and your goals.
It’s the first step toward a true digital companion — one that understands your world not because you told it everything, but because it learned from the signals you already send every day.
“The future of AI isn’t conversational — it’s contextual.”
Project by Matt Gauzza Founder • Maker • Software Engineer • Builder of things that think when you’re busy living.
