How it works

From problem to production

Go from idea to production-ready AI agent in six steps. Define, equip, orchestrate, test, inspect, and evaluate — all in one place.

01What should this agent actually do?

Start with the Business Problem

Don’t start with AI — start with the workflow. The best agents handle repeatable, rule-based, or knowledge-heavy work. Define the outcome first: what should be automated, for whom, and what “done” looks like.

Identify workflows worth automating
Define inputs, outputs, and success metrics
Align on the problem before building anything

Start building

02Make it yours, not generic

Give Agents Your Business Context

Agents are only as good as the context they have. Connect your documents, policies, and past work so responses reflect how your business actually operates.

Ground answers in your knowledge base
Reflect your tone, policies, and industry context
Ensure responses match real-world workflows

Add context

03Control how the agent behaves

Define Rules and Guardrails

Set how the agent thinks, responds, and acts. Define boundaries, escalation rules, and what it should never do. This is how you make agents reliable — not unpredictable.