Fighting the Gremlins
in Your AI Agents
The gaming/betting industry is rolling out AI agents with the potential to engage players like never before, but it won't work until AI teams can tame the gremlins in the machine: hallucinations, tool error, looping... At Galileo, we're all about building reliable AI agents, so we built a video game to make the point. Can you beat the gremlins?
Did you beat the gremlins?
Real-life is harder than a video game. But Galileo makes it easier with a platform for AI evals and observability. AI teams use Galileo to practice Eval Engineering, so they can debug agents quickly, re-use their custom evals across projects, and add runtime guardrails for safety & security.
Galileo makes AI agents reliable
For digital entertainment and gaming companies, Galileo unlocks agent performance that drives player engagement, average revenue, and lifetime value.
1
Accelerate time-to-market for AI features
In gaming, being first to market with innovative experiences creates competitive advantage. Why waste 60% of engineers' time building eval infrastructure? Galileo delivers agent evals out of the box so you can launch personalized recommendation agents, dynamic engagement bots, and intelligent support in weeks instead of months.
2
Protect player trust with guardrails
In 2026, AI agents will be making high-stakes recommendations that impact player trust and your top line. Don't risk player churn with an agent that might hallucinate payouts or violate rules. Galileo's runtime guardrails catch errors before they reach your players.
3
Grow revenue with agent conversations
Understand why a player rejected a recommendation by seeing the full context of their agent session. Galileo groups multi-turn conversations into sessions, visualizing agent paths, tool calls, and reasoning steps, so you know what is and isn't engaging players.
4
Ensure regulatory compliance and responsible gaming
When agents interact with players, they should detect problematic betting patterns and trigger appropriate interventions without generating false positives that frustrate your customers. With Galileo you can deploy policies as version-controlled evals & reusable guardrails across all your agents for centralized compliance that doesn't slow down engineering.
5
Maximize player lifetime value with continuous improvement
A recommendation agent that performs well in NFL season might underperform in NBA season as patterns shift. Galileo's auto-tune ensures that your evals adapt to your data, always watching production data for new patterns.
Take the next step toward reliable AI and book a meeting today.
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