Step 01
Create an agent
Start from the dashboard and define the role, description, and base behavior.
Product
Built to make AI ops
easier for technical teams
Sulta AI gives teams a practical way to create agents, host them in chat, and integrate them through the API without rebuilding the same operational layer over and over.
What You Can Use Today
4 built in
Agent templates
Web chat
Hosted interface
List + chat
API endpoints
Tracked per agent
Usage visibility
Workflow
How teams go from idea to live agent
Step 02
Configure how it should respond
Set prompts, context, guardrails, and model settings without building a custom backend flow.
Step 03
Use it in chat or through the API
Run the same agent in the hosted UI or integrate it into your own tools with API keys.
Product Areas
What Sulta AI does across the product
The platform is opinionated around fast setup, controlled behavior, and easier AI operations.
Area
Feature
Outcome
01
Agent creation
Create text, customer support, school, or onboarding agents from one builder.
Teams can standardize new agent setup instead of starting from scratch every time.
02
Behavior control
Use system prompts, extra context, model settings, and restrictions to shape outputs.
Technical teams get more reliable responses with less prompt drift in production.
03
Hosted chat delivery
Run agents through the built-in chat routes with their configured behavior already applied.
You can ship usable internal or customer-facing agent experiences faster.
04
API access
List agents and send chat requests over HTTP using account API keys.
Engineers can connect agents to existing apps without rebuilding the core interaction layer.
05
Per-agent tracking
Usage counters track queries, chats, and tokens as agents are used.
Teams can make AI ops decisions with actual usage data instead of guesswork.
Use Cases
Where teams usually apply it
Support teams
Create agents that answer repetitive questions and keep responses aligned with support tone and policy.
Internal enablement
Give teams a fast way to package internal knowledge into agents people can actually use.
Technical products
Expose agent behavior through the API so product teams can integrate it into existing workflows.