You can think of the Ping Practice app as a pause button.
When you sense yourself resonating with or resisting something, Ping Practice invites you to name what is giving rise to that sensation.
In the Ping Practice universe, we call these “pings.”
No categorizing or sensemaking. In these tiny moments, you’re simply creating a breadcrumb for your future self.
Ping Practice treats each of these pings as standalone thoughts that you can leisurely explore and reflect on at a later time.
When you happen upon a past ping that resonates, Ping Practice meets you with tools to:
* **Bump** pings you want to remember to the top
* **Reply** to pings you have more to say about
* **Edit** pings you’d like to refine
* **Explore** the relationships between pings using a range of filters
### Zooming out
Ping Practice assumes insights and ideas start in our senses and become legible to our thinking minds through reflection.
The idea was borne out of me [noticing a pattern](/pings/needs.md)...
There were a shifting handful of intentions that felt important for me to remember in any given moment. Intentions that I was overriding because of the attraction I felt to the familiar and how afraid I was of uncertainty.
Motivated by the fear of remaining stuck in old patterns, in 2012, I started [experimenting with various tools and workflows](/pings/experiments.md). Through 10 years of experimentation, the past 4.5 of which have overlapped with me [building and designing Wikipedia's core editing and communication tools](https://www.mediawiki.org/wiki/Editing_team), I converged on [the method](/pings/method.md) the Ping Practice app is built on.
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# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://ping-practice.gitbook.io/pings/app.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.