# Shipping Timeline

{% tabs %}
{% tab title="Phase I " %}

#### <mark style="color:yellow;">**Phase I  – Token Genesis & Beta Launch**</mark>

* **$ROOM Token Launch**\
  Genesis Presale and Community Sale to establish initial supply and distribution.
* **AI Agent Beta**
  * Observation Agent (Sense Model): Monitors private streams for signal aggregation of a source.
  * Enhanced Observation Agent: Deployed in curated Rooms across Telegram, Discord and other sources - allowing a multi-stream of several sources.
  * Analytical Agent: Signal summarization and signal detection.
  * Creator Onboarding: Selected creators to open their first Rooms.
  * Key Trading: Enable open trading of Backroom Keys on the secondary market.
    {% endtab %}

{% tab title="Phase II" %}

#### <mark style="color:yellow;">Phase II  – AI Enhancements & Open Access</mark>

* **Risk Assessment Engine**\
  Integrate volatility models and risk indicators into Backroom summaries.
* **Mobile Insights Hub**\
  Mobile-optimized interface for browsing Rooms and reading AI summaries on the go.
* **Room Index**\
  Discoverability based on past performance and trust metrics.
* **Public Room Registry**\
  Open the platform for users to apply, launch Rooms, and invite others.
* **Virtuals ACP**\
  Enabling further integrations via Virtuals’ Agent Commerce Protocol (ACP).
  {% endtab %}

{% tab title="Phase III" %}

#### <mark style="color:yellow;">Phase III  – Feature Expansion & Refinement</mark>

* **Execution Agent** \
  Launch opt-in automations based on signals.
* **Execution Agent Next**\
  Deploy multi-strategy agents with optional integrations.
  {% endtab %}
  {% endtabs %}


---

# 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.backroom.tech/getting-involved/integrations.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.