> For the complete documentation index, see [llms.txt](https://traiex.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://traiex.gitbook.io/whitepaper/ai-services/ai-core-trai-and-copilots.md).

# AI Core, Trai and Copilots

Hybrid AI computing and a personal workspace for analysis, trading preparation, learning, business and everyday work.

AI Core is the computing foundation for TRAIEX's AI services. It combines GPU computing with external AI services to support automated trading and interactive work. AI Trading uses this foundation to run configured strategies; Trai uses it for personal analysis, decision preparation, and practical tasks. Product permissions determine which actions each service can perform.

Trai combines user-controlled memory, working context, and specialized Copilots. Goals, preferences, documents, and project context give successive tasks continuity. Users can work on finance, markets, learning, business, and everyday needs in the same personal workspace. Trai is available independently through credits. AI Trading does not require an active conversation or additional credit purchases to continue running.

## Capital and Financial Planning

The Financial Centre brings accounts, wallets, obligations, and card spending into a common view through connected information and manual additions. Cash Flow organizes income, recurring payments, and expenses; Capital Goals separates trading budgets from reserves and existing commitments.

Portfolio X-Ray examines concentration, correlations, liquidity, and holding costs. The Financial Simulator explores changes in markets, income, or allocation. Opportunity Lab turns a proposed approach into an experiment with a budget, horizon, outcome criteria, and stopping conditions. Together, these functions help the user connect a decision with its assumptions and the purpose of the capital involved.

## Markets and Information

Market work begins with the user's interests, criteria, or shortlist. Natural Language Screener turns criteria into visible, reusable filters. Asset Passport and Comparison examine selected instruments. News Intelligence organizes reporting, sources, timing, and possible explanations, distinguishing confirmed reporting from interpretation. Personal Market Brief gathers relevant changes and events, including voice summaries.

Spot Analysis and Derivatives Analysis address their respective market structures. Smart Alerts and the Personal Calendar support monitoring of selected conditions and events. The user can move from a broad question to a defined set of instruments and scenarios for further examination.

## Trading Preparation and Review

The Trade Scenario Builder sets out objectives, horizon, entry conditions, and reasons to cancel a scenario. Pre-Trade Guard checks size, margin where relevant, costs, liquidity, and personal constraints. The Order Builder prepares the resulting order and execution arrangement for review and confirmation.

Strategy Studio develops rules for approaches such as Grid, DCA, and TWAP. Backtest examines historical data, Shadow Mode uses virtual execution, and Reality Gap compares a scenario with observed execution. These stages support preparation; a simulation does not place a live order.

Position Copilot follows positions and costs. The Decision Journal records the reasoning and execution behind a trade. The user can therefore prepare a scenario, review an order, and later examine what occurred using the same working context.

## Learning and Discipline

Knowledge Diagnostics identifies understanding and gaps. The Contextual Teacher explains concepts using the user's task or parameters. Practice Arena provides historical scenarios with virtual funds, and Adaptive Review revisits topics needing reinforcement. The Personal Mentor connects goals with practical assignments.

Behavioral Circuit Breaker helps review departures from chosen trading rules. Explanation, practice, and review build a decision process; a favourable trade outcome alone does not establish consistency.

## Work, Business and Collaboration

Sales Mentor, Discovery and Qualification, Proposal Builder, and Negotiation Simulator support preparation for business conversations. Trust CRM records relationship context, interests, commitments, and consent to contact. Follow-Up Engine prepares communications for review; Meetings and Webinars turn discussions into materials and next steps.

Team Operating System supports tasks, learning, and examination of activation bottlenecks. The Partner Commission Calculator organizes calculations around stated programme conditions. Actual qualification and entitlement follow the programme's own terms.

Content Intelligence, Production and Repurposing, Publication and Audience, and Funnel and Traffic Copilot support content work, acquisition, activation, and analysis of costs.

## Everyday Work and Account Support

Trai accepts voice, screenshots, documents, links, and recordings. Available screen context connects a question with the workspace in use. Universal Assistant supports comparison, translation, calculations, documents, and planning.

Support Copilot uses account context to connect a question with the relevant state and preserve continuity when a person takes over an issue. Security Guardian helps examine suspicious communications, support impersonation, network selection, and Memo or Tag information. Users keep control of credentials, private keys, and recovery information.

Companion provides conversation, Focus organizes priorities and unfinished work, and Critical Mentor examines assumptions and alternatives. The What Matters Today centre brings relevant items into a common view.

## Confirmation and Memory

An order prepared through Trai requires user confirmation before execution. Trai cannot initiate transfers or withdrawals. This differs from AI Trading, where the user authorizes a configured strategy to manage trades within its parameters.

Saved memory is user-controlled and can be deleted. Account, transaction, and service records remain governed by the applicable data conditions. Sources, permissions, and activity records let users examine the information and actions involved.

## Related reading

* [Trai Capability Map](https://traiex.gitbook.io/whitepaper/ai-services/ai-core-trai-and-copilots/trai-capability-map)
* [Subscriptions and Daily Profit Sharing](https://traiex.gitbook.io/whitepaper/ai-services/subscriptions-and-daily-profit-sharing)