AI Series — Add AI Features to Your App
Layer AI capabilities onto an app generated from the Buildpad starter. Each tutorial introduces one AI primitive and shows how to wire it into your live DaaS backend — no separate AI service to run, no vector store required to get started.
Audience: Developers who have already scaffolded an app (see Developer Series — Your First App) and want to add AI features to it.
Time: ~45 minutes for the first tutorial.
LLM provider: AWS Bedrock (Amazon Nova models).
These tutorials assume you have a working generated app with at least one DaaS collection. If you don’t, complete Tutorial 1: Your First App and Tutorial 2: Collections & Data first.
What You’ll Build
Three AI features — all wired into the same DaaS backend, all built on AWS Bedrock — that you can adopt independently or together:
- A streaming chat page where users ask questions about their data and the assistant answers by calling your DaaS REST API. Tool calls render inline so users see exactly what was queried.
- An AI-assisted form where users describe what they want to create in plain English and the assistant drafts the field values for review before saving.
- A summary report page where users select a collection, click a button, and get a formatted AI-written overview of the collection’s current state.
The Tutorial Path
Prerequisites
- A generated app from the Buildpad starter, running locally
- A DaaS instance with at least one collection populated
- An AWS account with Bedrock model access granted in your target region