Exist Integration & Workflow Automation
Run Exist on autopilot. Keep the veto.
12 actions
Your personal data sits in Exist doing nothing while you guess at patterns. Rills proposes actions on your attributes, and you approve before anything changes.
Interactive. No signup. 14 days free · approvals always free.
Most automation fires first, asks later. Rills shows you the change before it ships.
Every consequential other action from Exist arrives on your phone first. Approve in seconds. Decline without explaining yourself. Workflows wait, paused at zero cost, until you decide.
Queue 3
Increment 5 attribute values from today's activity data?
Step count, sleep, and mood attributes affected
Get Averages last run 23h ago; values drifted 12%
Same pattern approved last Thursday
Free to wait. Free to think.
Approvals and logic don't cost a credit. Pause a workflow for three hours or three weeks. The price is the same: zero. You only pay when something real happens: an AI call, an outbound action.
Approve from your phone in five seconds.
Swipe right when you're sure. Decline when you're not. Between meetings, mid-coffee, on the train. No dashboard to babysit, no inbox triage, no 3am stomach-drop wondering what shipped while you slept.
Routine cases graduate themselves.
Every approval feeds a confidence score for that exact workflow shape. The obvious cases (the ones you've green-lit fifty times) start running on their own. The judgment calls still come to you.
About Exist automation
Tracking your habits and health data in Exist is only useful if the numbers reflect what actually happened, and a single misaligned increment or wrongly acquired attribute can quietly corrupt weeks of correlation data before you notice.
When Exist runs unsupervised
Personal analytics feels low-stakes until stale or incorrect data shapes an insight you act on. Once an attribute value fires incorrectly, every downstream average and correlation built on it is wrong too.
- Increment Attribute Values fires on bad input, inflating a metric so every Get Averages result for that period is skewed.
- Acquire Attribute Ownership grabs a field another integration was managing, breaking that source's writes without any warning.
- Release Attribute Ownership drops a field mid-cycle, leaving gaps in your tracking history that Get Insights cannot recover.
- Get Correlations surfaces a pattern built on corrupted attribute data, and you make a real-life decision based on it.
What Rills does inside Exist
Rills watches for proposed changes to your attribute layer, including Increment Attribute Values and Acquire or Release Attribute Ownership calls, and queues each one for your review before it touches your data. Get Averages and Get Correlations results stay trustworthy because the inputs were approved first.
The increment still posts; you just see it before it shapes your weekly insight.
Why Exist has no triggers and how Rills fills the gap
Exist does not emit events that can start a workflow on their own, so Rills uses scheduled checks and upstream signals to decide when to propose actions on your behalf.
- A daily schedule calls Get Attributes With Values to detect any attribute that looks stale or out of expected range, then queues a review.
- A weekly run calls Get Averages and compares results against your baseline; if a metric drifts, Rills proposes an Increment Attribute Values correction for your approval.
- After you approve or reject a proposal, Get Insights is called to confirm the updated data produced a coherent insight before the next cycle begins.
- An upstream trigger from a connected app (sleep tracker, calendar, or activity source) can kick off an Acquire Attribute Ownership proposal so Exist automation stays coordinated rather than fighting over the same fields.
What Rills can do in Exist
4 of 12 actions across reads, writes, and updates.
- 01
Get Correlations
Retrieve correlations between your tracked metrics to understand which factors influence each other statistically, such as how sleep affects your mood or productivity. This helps you identify patterns and relationships in your data for better decision-making.
- 02
Get Insights
Automatically analyzes your tracked data to surface meaningful patterns, correlations, and trends that might otherwise go unnoticed, helping you understand what impacts your habits and behaviors.
- 03
Get User Attributes
Retrieve metadata about available user attributes to understand what data fields you can work with for filtering, selection, or integration setup. This helps you discover and organize the attributes needed for your workflows without having to load actual values.
- 04
Increment Attribute Values
Increment numeric attribute values by a specified amount rather than replacing them entirely, ideal for maintaining running totals and counters. Works with numeric attributes only to help you track cumulative data without overwriting existing values.