---
title: "Before You Ship Nova, Set Four Gates"
description: "A practical checklist for putting Amazon Nova into an application: choose nova-lite or nova-pro by workload, expose tools, and verify context, modality, region, and cost constraints."
---

# Before You Ship Nova, Set Four Gates

**Type:** [How to](https://yomu.fyi/visual-explainers/category/how-to.md)

![A four-step light-mode diagram for deploying Amazon Nova: define the workload, choose nova-lite or nova-pro, connect a chat or agents endpoint with tools, then validate context, modality, region, latency, and cost.](https://yomufyi.s3.us-east-1.amazonaws.com/visual-explainers/97ecb476-3932-4b24-82a2-4f1f200d7404/image-475762e3-db40-4688-a270-4c752402876a.webp)

> A practical checklist for putting Amazon Nova into an application: choose nova-lite or nova-pro by workload, expose tools, and verify context, modality, region, and cost constraints.

## Explanation

Amazon Nova is presented here as an application decision rather than a single model choice. Start by defining whether the workload prioritizes low latency and volume or accuracy and deeper reasoning, then select nova-lite or nova-pro accordingly. The supplied Heroku integration provides managed inference, an OpenAI-compatible chat endpoint, an agents endpoint, and tool support including custom MCP tools. Before launch, check the 300,000-token context window, current text-to-text scope, US or EU provisioning, and expected token costs.

**Tags:** [AI](https://yomu.fyi/topic/ai.md), [AI Agents](https://yomu.fyi/topic/ai-agents.md), [Amazon Nova](https://yomu.fyi/topic/amazon-nova.md), [Architecture](https://yomu.fyi/topic/architecture.md), [LLMs](https://yomu.fyi/topic/llm.md)

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### [Amazon Nova Models: Now Available on Heroku](https://yomu.fyi/post/amazon-nova-models-now-available-on-heroku.md)
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Amazon Nova’s nova-pro and nova-lite models are now available through Heroku Managed Inference and Agents, giving applications a managed way to use them. The integration initially supports text-to-text workloads, while multimodal support is planned for a future release; both models support tool use and offer 300,000-token context windows. Nova-lite targets speed, low latency, and high-volume real-time applications at $0.06 per 1M input tokens and $0.24 output, whereas nova-pro targets accuracy and deep reasoning at $0.80 input and $3.20 output. Heroku provides an OpenAI-compatible /v1/chat/completions endpoint for chat and generation, plus /v1/agents/heroku for built-in Heroku tools and custom MCP tools, with provisioning available in US and EU regions through the add-on or CLI.
