# AI SaaS features people can use.

> I build RAG assistants, embeddings/vector search, document ingestion, AI reports, recommender flows, and the SaaS layer around them. Useful AI, connected to real data, shipped with auth, billing, audit logs, tests, and deployment.

- **Stack:** React, Next.js, TypeScript, Supabase, PostgreSQL, AI SDK, Auth, Stripe
- **Value:** One owner across product, frontend, backend, AI, and release.
- **How:** Short scope, AI-assisted build loops, direct updates, and targeted tests.
- **Outcome:** A working flow users can test, teams can sell, and engineers can maintain.

## Packages

### AI MVP Sprint

A testable AI feature: RAG chat, vector search, document Q&A, report generator, recommender, or agent workflow.

### SaaS Feature Sprint

The SaaS layer around the feature: onboarding, auth, roles, billing, admin views, API, database, and release.

### AI Product Polish

Make an AI flow more useful: embeddings, retrieval quality, prompts, streaming UX, empty states, errors, and trust signals.

### Shipping Hardening

Multi-provider routing, cost tracking, audit logs, AI governance checks, eval cases, tests, CI/CD, and handover.

## What you get

- Concrete AI output: answers, recommendations, generated reports, completed tasks, or admin decisions.
- AI connected to product data, documents, embeddings, permissions, users, billing, and workflows.
- Measurable delivery: fewer manual steps, faster support/admin work, better retrieval quality, shorter time to MVP, or clearer conversion flow.
- Cleaner handover with prompts, tests, decisions, and code another engineer can continue from.

## How delivery works

### 1. Scope

Pick the exact job: answer from documents, draft reports, recommend actions, automate steps, or support admins.

### 2. Build

Connect ingestion, embeddings, retrieval, model calls, UI, permissions, logging, fallbacks, and the SaaS flow.

### 3. Ship

Deploy it, test real cases, check cost and failure modes, then hand over the next useful iteration.

## Start a project

Email work@joelhagvall.com with a short description of what you're building, or book a call: https://calendly.com/joel-hagvall/30min

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Part of [Joel Hägvall](https://joelhagvall.com/) · [All pages](https://joelhagvall.com/llms.txt) · Contact: work@joelhagvall.com
