# WayFinder Platform

The core of the WayFinder Platform is a digital "canvas", where content can be positioned and visualised in many powerful ways to enable reflective practice, sensemaking, ideation, discovery and more - processes that cohere with the over-arching [philosophy of "wayfinding"](https://www.wayfinders.network/blog/philosophy/).

A strength is the ability to quickly switch contexts, from a personal view that has only your content, to a shared/collaborative perspective that displays other peoples content in relationship to your own.

The innovation here is a user interface that moves away from restrictive vertical timelines as found in social media feeds, blogs and group chats; to something that allows many entry points and quickly reveals themes, patterns and connections. Maggie Appleton has described this as ["topography over timelines"](https://maggieappleton.com/garden-history#1-topography-over-timelines).

In this sense the platform is breaking new ground in social, knowledge and sensemaking systems.

With a strong focus on stories (hence the [StoryKeeper app](/apps-and-tools/storykeeper.md)), exploring a canvas will often feel like sitting around a digital campfire and reading/listening/watching the stories people have shared...

<figure><img src="/files/FTvqXm3foHiSHBsLflnH" alt=""><figcaption><p>An example of a WayFinder "canvas" with stories, reflection, questions and personal profiles depicted using various iconography</p></figcaption></figure>

The following sections provide more detail regarding how you can interact with a canvas, as well as the options for designing and customising canvases to your requirements.


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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://docs.wayfinders.network/apps-and-tools/wayfinder-platform.md?ask=<question>
```

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.
