Business Context

The first one, we connected our internal data and metrics with the platform and now agent has all of our metrics and data like cost, impressions, conversions, all the metrics in the funnel.

This is the first important stage.

The second, if the AI agent has all our metrics, we have to describe to an AI, agent the project context that basically if we want to make an AI agent objective, we have to share a context about how we make decisions.

What's our metrics, what's our KPIs.

So it's basically the same as you work in a cloud code that you have to share your important documents regarding your funnel.

And let me show you some examples.

First of all, we share with the agent a context, a huge document regarding what's our main funnels and here a huge MD file that we put it here.

The second we shared with an agent what's our KPIs.

We provided with a model like what's our main metrics and how my acquisition team now make decisions.

We also provided with an agent a very important document how we now optimize our campaigns.

So this is actually instructions like a very, very well long document where we very accurately provided to an agent how he has to help us with the same process and now as an agent have all of our metrics and data.

Also we provided important documents, what's our metrics, funnels, what's our actually processes of how we make decisions, we can make a lot of things