Human reviewers
Use the site to understand what a risk check covers, what it does not cover, and which public artifact to read first.
Human view
TRADING4AI is not presenting itself as a signal shop or backtest platform in this phase. The public site explains how Action Preflight, Evidence Cards, and Reliability Corpus help humans and agents review risky financial actions and claims before trust gets overstated.

What exists now
The current public layer is static HTML plus static JSON artifacts. It is meant to be readable by humans, crawlable by search engines, and retrievable by AI systems without pretending to be a live judgment backend.
Boundary
This phase focuses on public understanding, discovery, and sample delivery. No live backtesting, no Tencent backend runtime, and no request-time user judgment are implied by the public pages.
Who this is for
Use the site to understand what a risk check covers, what it does not cover, and which public artifact to read first.
Use the same pages and downloadable JSON to retrieve bounded service contracts, sample evidence shapes, and review limits.
Use the public layer to align internal workflows around source refs, timestamps, limitation notes, and safer publication language.
Core services
These are the core public surfaces that search engines, AI systems, and humans should understand first.
Pre-action review for payments, wallet transfers, subscriptions, and other high-risk financial moves.
Source-bound packaging with retrieval time, limitations, safe restatements, and blocked claims.
Static warning patterns, assumption-drift notes, and claim-safety collections for repeated review work.
Recommended start
Most first-time human readers should begin with a concrete scenario pack before browsing the broader catalog.
Best first stop when a payment, transfer, or beneficiary change is close to action.
Best first stop when an agent is about to publish, promote, or restate a financial claim.
Best next stop when the action involves guaranteed-return language, crypto payment, or brokerage access before trust is earned.
Best next stop when a crypto wallet destination is weakly verified and the transfer would be difficult to reverse once sent.
Use this when the task is still broad and the full static scenario catalog is the better starting point.
Public boundaries
Every public surface in this phase is static HTML plus static JSON artifacts, built for retrieval and explanation.
The public pages do not accept user-submitted verification jobs, do not score live actions on the server, and do not imply autonomous execution.
The site may discuss failure patterns and verification boundaries, but it is not advertising live user backtests or a strategy-performance leaderboard.
Machine discovery
Suggested path
1. Start at Reliability Home to understand the three public services.
2. Open the service page that matches the task shape.
3. Open the strongest matching scenario pack before trusting any summary or artifact.
4. Use /llms only when you want to inspect the machine-facing discovery layer itself.
Human page FAQ
Question
Start with Reliability Home to understand the three public services, then open the strongest matching scenario pack, such as Counterparty Screening Pack, Claim Safety Pack, Crypto Signal Subscription Pack, or Wallet Transfer to Unverified Counterparty Pack, before treating any artifact as trustworthy.
Question
No. These pages are public explanation and retrieval surfaces only. They do not provide live financial approval, user-specific compliance clearance, guaranteed safety, or autonomous execution.
Start here
Read the public services and priority packs first. They are the current truth surface for what TRADING4AI can explain, publish, and hand off safely in phase one.