Introducing Agentic Engine — ThinkingAI Product Demo

Hi, my name is Chris Juan, co-founder of Thinking AI, and I'm Daniel Yuzum, a solution expert here.

For the past 10 years, we've been building an analytics and live ops infrastructure behind some of the world's fastest growing apps and games

used by over 1500 clients powering 8,000 product globally. We know what it takes

product globally. We know what it takes to detect insight, understand why it's happening, and act on it before the

moment is gap. Today, we're taking a step further. We are introducing Agentic

step further. We are introducing Agentic Engine, an enterprise agency platform that deploys a full team of AI agents

across your entire product operation.

agents that detect signals, diagnose root causes, and execute actions in real time autonomously on your own infrastructure. Let's bring this to life

infrastructure. Let's bring this to life with a real operation example. Dan, take

it away. Thanks, Chris. I want to walk you through a situation that studios and developers run into all the time. While

this example is specific to games, Thinking AI's agentic engine can be applied to any type of application looking to attract, retain, and grow its users.

It's Monday morning. Your game just had its worst retention week in 3 months.

Before your team opens a single dashboard, you get an alert in Slack from Thinking AI. D7 retention is down 12%.

Level three exit rate is up 34%.

These numbers directly impact your revenue. Instead of jumping between

revenue. Instead of jumping between tools, I click view details, which takes me straight into thinking AI agentic engine.

This is our agents daily overview. DAU,

MAU, RPO, D1 retention, all in one place. The metrics that need attention

place. The metrics that need attention are already flagged. But I don't want to just see the problem. I want to know why it's happening. So I click into the

it's happening. So I click into the findings to go deeper and I ask the agent why did D7 retention drop.

It immediately pulls in game data for a fullfunnel analysis. It collects signals

fullfunnel analysis. It collects signals from Reddit and Discord. We can

understand what players are saying on these channels.

Agentic engine also connects to internal sources like game design docs and meeting notes to resurface past conversations. It looks like someone had

conversations. It looks like someone had already flagged potential issues here.

Here's what else it finds. Players are

hitting a difficulty spike at level three, causing friction amongst the user base and hurting retention.

The agent builds a recommended action plan. I review it, approve it, and

plan. I review it, approve it, and launch an AB test directly from Agentic Engine. No tickets, no meetings. We

Engine. No tickets, no meetings. We

identify issues and act immediately. 6

hours later, the agent sends a feedback report. Retention is up 11%.

report. Retention is up 11%.

Re-engagement up 34%.

$4,200 in added revenue across six player groups. Test results achieve

player groups. Test results achieve statistical significance among the smaller group. You can now push the test

smaller group. You can now push the test live to the wider user base. 2 days

later, your D7 retention has recovered.

Your level 3 exit rate is down 30%. An

estimated $38,000 impact.

We know what the problem was, how we fixed it, and exactly what it was worth.

This example shows how our analytics, AB test, and live ops agents can improve your business today. All powered by skills built on over 10 years of

analytics and live service expertise.

You can also create custom agents built for your unique challenges trained on your team's knowledge base. On top of this, thinking AI agentic engine is

fully self-hosted and secure. This is

thinking AI agentic engine. Close the

gap between knowing and doing. Back to

you Chris.

Thanks, Dan.

What you just saw is thinking AI in one loop. Autonomous operational

loop. Autonomous operational intelligence. They detect, decide and

intelligence. They detect, decide and act continuously and autonomously. Total

contextual intelligence. Not just your database, your internal knowledge base, your videos, your pictures, your reviews, your discord, your meeting

notes. Agents understand why, not just

notes. Agents understand why, not just what. And finally, self-hosting the

what. And finally, self-hosting the entire stack deployed in your environment. Your data never leaves.

environment. Your data never leaves.