SIMULATION_METHODOLOGY

[01] OVERVIEW

The Speculator Room uses a proprietary simulation pipeline to generate long-form analytical content in response to user questions. Each report is produced by an AI model trained on broad public data, guided by a fixed editorial structure and quality rules. This page explains how our system works, what data and tools we use, and how we ensure transparency.

[02] EDITORIAL_STRUCTURE

Every analysis follows a single, consistent structure designed for depth and readability:

• Executive Summary — Short overview of the question and main forces at play.
• Historical Context — How we got here: relevant events, policy, or market history.
• Technical and Economic Analysis — Data-oriented discussion (rates, indices, key players, etc.).
• Multi-Scenario Forecast — Best case, worst case, and most likely outcomes with brief reasoning.
• The Speculator's Edge — Contrarian or underappreciated angles.

We target a minimum length of roughly 1,000 words per report so that each page offers substantive content rather than thin summaries.

[03] AI_MODEL_AND_INPUTS

Our long-form analyses are generated by Google Gemini (Gemini 2.0 Flash). The model is given:

• The user's question (e.g. "Will the Fed cut rates in 2025?")
• A detailed prompt that enforces the editorial structure, tone (high-end financial journalism), and length (1,000+ words)
• Instructions to avoid overuse of formatting (e.g. bolding) and generic or meta language

The model draws on its training data (publicly available information up to its knowledge cutoff). We do not feed it live APIs, private data, or real-time feeds. Outputs are therefore based on general knowledge and reasoning, not on proprietary real-time data.

[04] DATA_SOURCES_AND_LIMITS

Our "proprietary" element is the combination of:

• Structured prompts — Fixed section templates and style rules (e.g. Economist/Bloomberg-like tone)
• Topic and quality checks — We categorize each question (e.g. by topic_id) and reuse or generate content accordingly
• Length and safety constraints — Minimum word count, safety filters, and no PII or live trading data

We do not ingest proprietary market data, internal research, or paid data feeds. All analysis is derived from the AI model's general knowledge of economics, geopolitics, and markets. For real-time or regulated decisions, users should rely on licensed data providers and qualified professionals.

[05] TRANSPARENCY_AND_DISCLAIMERS

Each report includes a visible Simulation Methodology blurb and an AI transparency disclaimer at the bottom of the page. We state clearly that the content is AI-simulated, for entertainment and exploration only, and not financial, legal, or investment advice. We also surface a Last updated date where available so readers can gauge freshness.

[06] QUALITY_AND_INDEXING

Pages are only included in our sitemap and indexed by search engines when the generated content meets a minimum length (1,500+ characters). Shorter or placeholder content is kept out of the index until it can be replaced with a full-length report. This helps us avoid low-value or duplicate-looking pages.