> For the complete documentation index, see [llms.txt](https://docs.amigo.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.amigo.ai/platform-overview.md).

# Platform Overview

- [What Amigo Does](https://docs.amigo.ai/platform-overview/what-amigo-does.md): A concrete scenario showing how Amigo handles patient contact, source-aware data capture, and separately confirmed external delivery.
- [How It Works](https://docs.amigo.ai/platform-overview/how-it-works.md): Walk through a complete interaction lifecycle from patient contact to post-call analysis, mapping each step to real system components.
- [Design Principles](https://docs.amigo.ai/platform-overview/design-principles.md): Four engineering principles for measurement, composition, risk-calibrated autonomy, and goal-oriented workflows.
- [Deployment Model](https://docs.amigo.ai/platform-overview/deployment-model.md): A phased operating model for baseline definition, candidate validation, version-set release control, and workspace isolation.
- [Data Residency](https://docs.amigo.ai/platform-overview/data-residency.md): Regional workspace placement, immutable region selection, and practical planning considerations for regulated deployments.
- [Cost and Latency Optimization](https://docs.amigo.ai/platform-overview/cost-and-latency.md): How prompt caching, model routing, and pipeline design keep costs low and responses fast.


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