Documentation

An outcome-focused guide to what you can do with Howlet Studio, and how easily.

Quick Start Guide

Get your first AI application running in minutes with this step-by-step guide.

Prerequisites: For Cloud/SaaS, you need a Howlet Studio account via portal.howlet.ai. For on-premise, you need Docker 24+, PostgreSQL 16+, and minimum 8 CPU cores with 32 GB RAM.

Step 1: Access Your Workspace

Log in to the Customer Portal at portal.howlet.ai. Navigate to Tenants and click Open Workspace on your assigned environment.

Step 2: Create Your First Flow

In the workspace, click New Flow in the top bar. Select the "Simple Chat" template to start with a pre-configured conversational AI flow.

Step 3: Configure the LLM Node

Click the LLM node in your flow. Select your model provider, enter your API key, and configure temperature and max tokens.

Step 4: Test with Playground

Click the Playground button in the bottom-right. Type a message and verify the AI responds correctly.

Tip: Iterate on your prompt template until you're satisfied with the output quality. Small tweaks can make a big difference.