AI Racer has taken its next leap forward. With the latest update, see6 introduces two intelligent agents into Session 3, transforming how players experience human-machine collaboration. These AI agents are not an expansion of the game—they are an evolution of how teams build the skills, reflexes, and alignment needed to drive enterprise AI adoption.
From Simulation to Agent-Powered Strategy
AI Racer was designed to deliver more than awareness. It builds real readiness. Through structured, role-based gameplay, teams experience the progression most enterprises face when adopting AI:
- Session 1: Compete without AI; learn to operate with limited information, relying solely on team dynamics and human judgment.
- Session 2: Gain access to RaceAI, a retrieval-based assistant that helps analyze data and support basic strategy.
- Session 3: Players now enter a more complex environment—newly upgraded—where AI agents play an active role in team performance and decision-making.
With the introduction of these agents, Session 3 now mirrors the emerging reality of enterprise AI: intelligent systems that don’t just answer questions but proactively shape the decisions teams make.
Introducing the Agents
Session 3 begins with the introduction of two purpose-built agents that support different parts of the racing team.
1. The Weather Agent
This agent continuously scans both real-time and forecasted weather conditions and translates them into track effects. Previously, players had to manually query RaceAI to determine how the weather might impact their strategy. Now, those insights are automated and available instantly in the game hub.
The Weather Agent reflects the kind of AI that is already being used in operations—systems that monitor environmental inputs, apply internal logic, and surface contextual recommendations without waiting for a prompt.
2. The Pit Team Tire Agent
The Tire Agent helps the Pit Team optimize tire selection each hour based on track and weather conditions. It provides updated recommendations throughout the session, helping the team improve lap performance. However, final decisions remain in human hands.
Only the Pit Team can act on the Tire Agent’s suggestions, and they must communicate their strategy to Race Control. If the team accepts the recommendation, their choices are automatically reflected on the shared strategy card for full team visibility.
This interaction models a key enterprise challenge: using AI to improve speed and accuracy, while maintaining the oversight, coordination, and judgment that human teams bring to the table.
Why This Update Matters
The introduction of AI agents into Session 3 is not just a gameplay enhancement. It is a strategic learning opportunity.
As players work with agents, they encounter the same questions that arise in real-world deployments:
- Can we trust the outputs?
- Who gets to approve or override AI suggestions?
- How do we stay aligned when AI accelerates the pace of decision-making?
By embedding these questions into live play, AI Racer gives teams a safe but realistic space to navigate the practical challenges of human-AI collaboration.
A New Kind of Preparation
At the end of Session 3, players transition into a structured exercise to define AI use cases for their organization. The experience with AI agents—how they influenced team dynamics, what they made easier, and where human input remained essential—becomes a direct input into this work.
Teams no longer speculate about how AI might be used. They have a shared, lived experience of using it, which leads to better ideas, stronger alignment, and faster execution.
The Bottom Line
The addition of AI agents to Session 3 marks an important milestone in AI Racer’s evolution. It deepens the realism, raises the stakes, and reinforces the core purpose of the game: to help teams build the skills, trust, and processes needed to make AI work in the real world.