# Roadmap

Aurex follows a clear, milestone-based roadmap designed to gradually build a full intelligence ecosystem.

## **Phase 1 — Foundation Layer (Completed / In Progress)**

This foundational phase builds the core intelligence and data structure.

#### **Deliverables**

* **Aurex Core Agent**\
  Reasoning layer capable of multi-step analysis, summarization, and contextual evaluation.
* **Multi-source data collectors**\
  Market, on-chain, social, news, event feeds.
* **Unified Data Interface Hub**\
  Standardized pipeline for delivering normalized, cross-source data.
* **Basic forecasting & sentiment models**\
  Early versions of trend prediction, volatility detection, and sentiment scoring.

#### **Objectives**

* Create a reliable backbone
* Establish data quality
* Prove early predictive accuracy
* Enable first internal bots

## **Phase 2 — Predictive Bots**

The phase where Aurex becomes *user programmable*.

#### **Deliverables**

* **Visual bot builder**\
  No-code drag-and-drop workflow environment.
* **Logic + AI hybrid workflows**\
  Mix traditional rules with AI reasoning blocks.
* **Bot sharing marketplace**\
  Users can publish, browse, borrow, or customize bots.
* **Backtesting and accuracy scoring**\
  Bots and predictive models can be evaluated on historical data.

#### **Objectives**

* Empower users to build their own intelligence workflows
* Create a library of community-driven bots
* Provide transparency via backtesting
* Make prediction a user-driven capability

## **Phase 3 — Adaptive Intelligence**

In this phase, Aurex becomes self-learning.

#### **Deliverables**

* **Self-learning bots**\
  Bots improve over time based on outcomes and feedback.
* **Personalized prediction models**\
  Tailored to each user’s style and risk profile.
* **Automatic parameter optimization**\
  Aurex adjusts thresholds, sensitivity, indicators.
* **Long-term memory engine**\
  Agents remember context, history, and user preferences.

#### **Objectives**

* Replace fixed-logic bots with adaptive systems
* Build personal AI assistants that evolve
* Improve accuracy and relevance
* Deep personalization for each user

## **Phase 4 — Ecosystem Expansion**

Aurex evolves into a full intelligence ecosystem and developer platform.

#### **Deliverables**

* **Plugin marketplace**\
  Third-party modules, data sources, and analytics tools.
* **Developer SDK & tools**\
  REST / GraphQL / WebSocket APIs + client SDKs.
* **Custom data integrations**\
  Users can bring their own datasets or private APIs.
* **Agent-to-Agent communication layer**\
  Bots and agents can collaborate, share signals, or chain reasoning steps.

#### **Objectives**

* Expand Aurex beyond a single platform
* Enable an ecosystem of developers & builders
* Turn Aurex into a programmable intelligence network
* Allow agents to form multi-agent intelligence systems