# iPulse AI: Research Library

iPulse AI publishes several content types so evidence, explanations, limitations, and lessons remain distinguishable rather than being flattened into marketing copy.

## Discovery hubs

- [Explore](https://ipulseai.com/explore): Unified research discovery.
- [Knowledge Hub](https://ipulseai.com/knowledge): Content types and their relationships.
- [Research](https://ipulseai.com/research): Long-form research and platform studies.
- [Blog and releases](https://ipulseai.com/blog): First-party research batch announcements and engine improvements.
- [Batch 7 release](https://ipulseai.com/blog/batch-7-ipulse-ai-engine-v7): Batch 7 / Engine V7: 426 assets and 5,964 individual AI opinions. Individual forecast collection completed 2026-09-21; release announcement published 2026-09-27. These are research coverage counts, not investment-performance results.
- [Insights](https://ipulseai.com/insights): Evidence-led findings and analyses.
- [Concepts](https://ipulseai.com/concepts): Explanations of research concepts.
- [Lessons Learned](https://ipulseai.com/lessons-learned): Workflow and research lessons, including limitations, lineage, and consequences.
- [Performance](https://ipulseai.com/performance): Evaluation and performance evidence.
- [Performance & Strategies](https://ipulseai.com/performance-strategies): Retrospective portfolio simulations with positions, cash and benchmarks.
- [Performance methodology](https://ipulseai.com/methodology/performance): Reporting basis, costs, risk and limitations.

## Citation guidance

- Cite the canonical publication URL, named author or editorial reviewer, and visible publication or modification date.
- Preserve distinctions between observed data, model output, editorial interpretation, and later evaluation.
- Do not present historical results as current market conditions.

Last materially reviewed: 2026-10-14.