Product Tour

A way to build, host,
and deploy AI agents

The app lets you create agents, run them through hosted chat routes, and access them with API keys.

4

Agent templates

1

Hosted interface (chat)

2

API endpoints (list + chat)

Launch Blueprint

Step 01

Create an agent

Set agent name, description, and type from the dashboard builder.

Step 02

Configure behavior

Adjust prompt style, context, guardrails, and model configuration.

Step 03

Use via chat or API

Open the hosted routes or send requests to the agent API endpoints.

Core Modules

Core product features available right now

Agent Builder

Create agents with custom name, description, type, and visibility.

Prompt + Context Controls

Set custom system prompts and add extra context in the creation flow.

Guardrails + Restrictions

Define behavioral constraints directly in the agent configuration.

LLM Settings

Choose model, temperature, and token limits for each agent.

Hosted Chat UI

Run agents through built-in chat pages with live interactions.

Agent API Access

Use API keys to list agents and send chat requests programmatically.

Who uses Sulta AI

Common agent types in this app

The builder already includes these patterns as supported agent configurations.

Customer Support Agent

Set tone and policy context for handling common customer questions.

School Agent

Configure school-specific context for student and teacher help flows.

Employee Onboarding Agent

Provide new-hire guidance with company-specific onboarding instructions.

What this implementation includes

Dashboard + API

Manage agents in UI and access them programmatically over HTTP.

Firebase Storage

Agents and usage stats are persisted in Firestore documents.

Access Control

Agent API key checks enforce ownership or explicit agent access.

Usage Tracking

Query, chat, and token counters are incremented during interactions.

Next Step

Build and test your first agent

Start with the agent creator, test in chat, then connect it to your app through the API.