# ngrok AI Gateway: workflows, use cases, and stacks

> Hosted AI gateway for routing requests across public and self-hosted models with scoped keys, failover, observability, and cost visibility.

- Canonical: https://gptnavi.com/tools/ngrok-ai-gateway
- Official website: https://ngrok.ai
- Category: Developer automation
- Pricing model: Paid
- Has free plan: No
- Last materially updated: 2026-08-19
- Best for: AI product teams, Developers, Platform engineers
- Tags: llm, gateway, observability

## Quick answer

ngrok AI Gateway is a paid developer automation option best suited to AI product teams, Developers, Platform engineers. In the GPTNavi catalog it connects to 1 workflows and 3 compatible stacks.

## Workflows using ngrok AI Gateway

- [AI product release control plane](https://gptnavi.com/workflows/ai-product-release-control-plane) — Ship a small AI workflow with model routing, scoped access, test cases, monitoring, and a clear human rollback path.

## Compatible stacks

- [AI Product Release Control Stack](https://gptnavi.com/stacks/ai-product-release-control-plane-stack) — A technical stack for releasing AI workflows with scoped model access, versioned automation, evaluations, monitoring, and rollback rules.
- [LLM Evaluation and Observability Stack](https://gptnavi.com/stacks/llm-evaluation-and-observability-stack) — A technical stack for comparing models, tracing AI behavior, measuring quality and cost, and controlling releases with evidence.
- [Open Model Routing Stack](https://gptnavi.com/stacks/open-model-routing-stack) — A practical stack for selecting, evaluating, and operating open or hosted models according to task quality, latency, cost, and fallback rules.

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