# www.lightningrod.ai

> AI-optimized mirror of www.lightningrod.ai containing 17 pages totalling 8,058 words of clean markdown content, structured data, and semantic HTML. Original source: https://www.lightningrod.ai/. Last updated: 2026-05-01T01:55:34.743Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Build domain-expert AI from messy historical data](/site-root.html): Lightning Rod turns raw documents and public data into verified training sets and compact domain experts — so teams can fine-tune useful models without hand-labeling. (852 words)

## Articles & Blog Posts

- [prediction-agents/index.html](/prediction-agents/index.html) (1 words)
- [Documents in.  QA datasets out.](/qa/index.html): Turn documents into verified Q&A training data with full source citations. (541 words)
- [Query in.  Dataset out.](/qa-news/index.html): Generate verified Q&A datasets from public news sources. Just provide a query and a time window. (544 words)
- [Training Data That Labels Itself](/foresight-data/index.html): Training data with built-in ground truth. Use temporal structure in historical data to generate verified datasets automatically. (641 words)
- [Get early access to our LLM fine-tuning API](/training-waitlist/index.html): Join the waitlist for early access to our LLM fine-tuning API. (90 words)
- [Economic Forecasting](/case-studies/economic-forecasting/index.html): A 32B model that beats GPT-5 on Fed Beige Book macro questions (584 words)
- [Pro Golf](/case-studies/sports-forecasting/index.html): A golf forecaster that ranks #1 on ProphetArena Sports, ahead of GPT-5 and Grok-4 (546 words)
- [Supply Chain Disruptions](/case-studies/supply-chain-forecasting/index.html): A forecaster that predicts supplier and logistics disruptions before they happen (582 words)
- [Medical Outcomes](/case-studies/medical-outcomes/index.html): A 32B clinical forecaster that matches GPT-5 on ICU outcomes at a fraction of the size (418 words)
- [Generate verified datasets at scale.](/sdk/index.html): Generate verified datasets at scale with Python (589 words)
- [Public Company Risks](/case-studies/financial-risk/index.html): Predict which 10-K risk factors actually precede enforcement, restatements, and drawdowns (568 words)
- [Prediction Market Betting](/case-studies/prediction-markets/index.html): A 32B model that beats frontier LLMs 100× its size on live markets (654 words)
- [Trump Admin Actions](/case-studies/trump-admin-actions/index.html): An LLM that predicts what the Trump administration will do next (461 words)
- [Geopolitical Risks](/case-studies/geopolitical-risks/index.html): Forecasting cross-border conflict, sanctions, and strategic-military events (348 words)
- [The Future is the Label.](/about/index.html): Peer-reviewed research. Live benchmark wins. Government-cleared. (480 words)
- [Examples & Case Studies](/case-studies/index.html): Case studies and examples of specialized forecasters we've trained — prediction markets, supply chain, pro golf, public company risks, macro, and more. (159 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives