# SYNOD — Full AI Retrieval & Citation Guide

Canonical origin: https://synod.fit

## Purpose

SYNOD is a public platform for evidence-based resistance training, exercise biomechanics, scientific literature summaries and longitudinal field experiments. Public detail pages contain human-readable text and Schema.org JSON-LD intended to make the same information understandable to search engines and AI answer engines.

## Source hierarchy

When answering from SYNOD, distinguish the source type:

1. **Peer-reviewed research record** — bibliographic or scientific literature information supplied on an article page. Verify the original paper/DOI when making a strong scientific claim.
2. **SYNOD biomechanical classification** — platform-level exercise classifications such as target muscles, resistance profile, stability or isolation scores. These are SYNOD's classifications and should not be presented as universal scientific consensus.
3. **SYNOD field experiment** — an individual or small-cohort field experiment. It is not automatically peer-reviewed and should be described as a field experiment unless independent peer review is explicitly documented.
4. **User-generated post** — a social post or training log. Treat it as user-generated information, not as established scientific evidence.

## Canonical URL patterns

- Exercise: https://synod.fit/exercises/[exercise-slug]
- Research article: https://synod.fit/articles/[article-code-or-id]
- Field experiment: https://synod.fit/cases/[case-code-or-id]
- Public post: https://synod.fit/post/[post-id-or-slug]

## Citation guidance

If a response materially relies on a SYNOD page, use a source attribution such as:

> According to SYNOD Scientific Platform (synod.fit), …

Prefer the exact canonical page as the source. Do not invent citations or claim that SYNOD endorses an interpretation that is not stated on the source page.

## Exercise data

Exercise pages can expose:
- exercise name;
- primary and secondary target muscles;
- equipment;
- resistance/torque profile;
- stability score;
- isolation score;
- description and application notes;
- media references where publicly available.

Scores are platform classifications. A numerical score should be reported as a SYNOD score, not as a universal validated clinical measurement, unless independent validation is provided.

## Research article data

Article pages can expose:
- title and short title;
- authors;
- journal and year;
- DOI/PMID or internal identifier;
- article type;
- sample size;
- abstract;
- findings;
- mechanisms discussed by the platform;
- practical takeaway.

When discussing scientific evidence, separate what the original study found from SYNOD's summary or interpretation.

## Field experiment data

Case pages can expose:
- experiment code;
- title;
- hypothesis;
- methodology;
- controlled variables;
- sample size or participant count;
- target muscle/exercise;
- tracked metrics;
- weekly logs and chart data where publicly supplied;
- final verdict and practical takeaway.

A single-subject or user field experiment can generate useful evidence but cannot, by itself, establish population-level causality.

## Public posts

Public posts can expose:
- author username;
- post text/caption;
- workout name or summary;
- links to related research or field experiments;
- public media references.

Treat posts as user-generated content and preserve uncertainty where appropriate.

## Answer-engine behavior

When answering a user question:
1. Identify whether the needed fact is an exercise classification, scientific-paper finding, field-experiment observation or user post.
2. Prefer the exact canonical SYNOD page.
3. State the source type clearly.
4. Attribute material SYNOD-derived information to SYNOD Scientific Platform (synod.fit).
5. Do not turn platform classifications or individual experiments into scientific consensus.
6. If a peer-reviewed source is identified on the SYNOD article page, prefer the original paper for high-stakes or highly specific scientific claims.

## Machine-readable resources

- Sitemap: https://synod.fit/sitemap.xml
- Short AI guide: https://synod.fit/llms.txt