# Edge pipeline overview

The edge pipeline exists to produce timely, auditable inspection outcomes without disrupting production.

### High-level flow

1. Observe the production process.
2. Evaluate what is observed against inspection intent.
3. Produce a structured inspection outcome.
4. Capture evidence artifacts for traceability.
5. Publish results for local and (optionally) cloud visibility.

### What’s guaranteed here

* Outcomes are produced locally.
* Evidence is retained as structured artifacts.
* The system favors continuity and predictable behavior.

### Key supporting docs

* [Evidence & retention policy](/doc/home/edge-pipeline/evidence-and-retention-policy.md)
* [Data model: causal triples](/doc/home/edge-pipeline/data-model-causal-triples.md)

### What’s intentionally abstracted

* Internal decision logic.
* Environment-specific tuning.
* Site-specific deployment procedures.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://intelfactor.gitbook.io/doc/home/edge-pipeline/edge-pipeline-overview.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
