LiyaEngine
Solutions

Ship AI Features

Add AI to your product
without building an AI team.

One API call gets you structured, validated output — orchestration, retrieval, and guardrails already wired in. No prompt engineering, no agent framework to babysit.

Start building Read the docs
Playground · run-intent
200 OKvalidated response
REQUEST
domainyour-domain
intentyour-custom-intent
input{ ...fields }
RESPONSE
successtrue
confidence0.91
recommendation"Strong fit"
Start with your domainKeep ownership and runtime context with the team that operates the capability.
Expose a clear contractIntegrate through a named intent instead of coupling product code to prompts.
Improve from evidenceTest and observe the same execution path your application calls.

Where teams get stuck

The prototype is easy. The operating model is not.

Production problems appear when prompts, provider logic, policy checks, and debugging are split across application services with no shared owner.

Prompt engineering doesn't scale

Every new feature means another prompt to tune and another edge case to catch by hand — and it all breaks again the moment you change models.

Unstructured output breaks your code

Free-text model responses need brittle parsing before your app can use them. One unexpected format and the integration silently fails downstream.

Safety gets bolted on after the fact

PII redaction, content filtering, and spend tracking usually get added after an incident — not designed in from the very first API call.

Production pattern

A direct path from business outcome to callable AI.

LiyaEngine keeps the capability surface simple while the infrastructure behind it remains governed and observable.

01

Own the capability

Create a tenant-owned domain and define the intent contract your product needs.

02

Connect the context

Link knowledge, tools, model configuration, and policies without changing the application interface.

03

Test the behavior

Run representative requests, review structured output, and inspect the full execution path.

04

Operate with evidence

Use traces, evaluations, usage, and cost context to improve the capability after launch.

How LiyaEngine helps

Move infrastructure out of the product code path.

The Intent API is how you invoke LiyaEngine. Pass a domain, an intent name, and your input — get back a validated, schema-conformant response every time, from a model you never have to prompt-engineer directly.

An intent can combine retrieval, orchestration, guardrails, and output validation behind one stable contract. You configure the behavior once and call it consistently from your product.

See the technical spec
intent.schema
3
REQUEST FIELDS
1
STABLE CONTRACT
JSON
VALIDATED OUTPUT
Tools: fetch_context, check_policy,
       draft_response
Guardrails: content_filter,
       pii_redaction

Technical foundation

Read the full Intent API reference

Request/response contract, tool registry, guardrail policies, and SDKs for Node, Python, and REST.

See the technical spec

See the platform controls, workflow, and operational model behind this solution.

02

Ground answers in your own data

Index your knowledge base, retrieve the right context automatically.

03

Catch bad outputs before your users do

Pre- and post-generation policy checks on every call.

Ready to make your first intent call?

Create your workspace, define a domain, and build the first intent around the outcome your team owns.

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