AI Usage Policy
Effective: 1 July 2026 | JaySense Research & Analytics Platform
1. What AI Is Used For
- Research Score generation — a 7-factor quantitative model scores stocks on technical, momentum, quality, financial health, sector strength, risk, and institutional flow criteria.
- News summarisation — AI generates short summaries of market news and corporate announcements to aid research. Summaries are clearly labelled "AI Summary".
- Score explanation — AI generates plain-English explanations of why a stock received its Research Score, referencing the specific indicator signals that contributed.
- Research Assistant — an AI assistant that answers questions about stocks, indicators, and JaySense methodology in educational, research-framed language.
- Morning Plan validation — AI aggregates overnight data, technical signals, and market context to surface stocks meeting research criteria for pre-market review.
2. What AI Does NOT Do
- Recommend buying or selling any specific security
- Predict future prices or guarantee returns
- Provide personalised investment advice
- Execute trades or manage portfolios
- Provide tax or legal advice
3. AI Constraints
JaySense's AI Research Assistant is constrained by a system prompt that prevents it from recommending specific buy/sell actions, assigning price targets as predictions, or providing personalised advice. If the assistant produces output that appears advisory, please report it using the feedback mechanism below.
4. Known Limitations
- AI models can produce inaccurate, hallucinated, or outdated information.
- News summaries may miss nuance or mischaracterise source articles.
- Score explanations are generated post-hoc from indicator values and may not capture every factor.
- AI does not have access to insider information, real-time order flow, or non-public data.
5. Data Used by AI
AI models process publicly available market data (price history, fundamentals, news headlines, corporate announcements). Your personal portfolio and journal data are never used to train external AI models and are never shared with third parties.
6. Human Oversight
JaySense's engineering team monitors AI outputs for quality and compliance. The scoring methodology is documented and versioned. Users can view score breakdowns and indicator signals to understand how any score was generated.
7. Report an Issue
If you encounter AI output that appears to give investment advice, make a market prediction, or violate this policy, please report it to support@jaysense.com with subject "AI Policy Issue". We will review and respond within 5 business days.
8. Policy Updates
This policy will be updated as JaySense introduces new AI capabilities. Users will be notified via the What's New section of material changes.