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🚀 Designing the Future: Crafting Intentional AI Experiences

In the rapidly evolving world of Generative AI, we often get caught up in the model—the latency, the reasoning capabilities, and the prompt engineering. But as Penny Szeto, Lead of the Geni team at Amazon Games, recently shared at Prodicon, the real magic lies not in the code, but in the behavioral system design you build around it.

If you’ve ever felt disappointed by a clunky chatbot or frustrated by an AI that loses context, you aren’t alone. Whether you are building games or enterprise tools, the difference between a “creaky” experience and a magical one comes down to four fundamental pillars.

🎭 The Eliza Effect: Why Intent Matters

Back in 1966, MIT scientist Joseph Weizenbaum created Eliza, a simple program that used pattern matching to simulate conversation. Despite its primitive nature, people formed deep emotional bonds with it—some even asking to be left alone with the machine.

We call this the Eliza Effect: the human tendency to attribute empathy and intent to technology, even when we know it isn’t real. Today, AI is more integrated and visible than ever. It is no longer just a novelty; it is the face of your product. If you don’t design that face with intention, your users will fill in the blanks with their own—often unpredictable—expectations.

🛠️ The Four Levers of AI Product Design

When building Courtroom Chaos, an AI-native game starring Snoop Dogg, Penny’s team learned that delivering a coherent, trustworthy, and entertaining experience requires moving beyond basic prompt engineering. To succeed, you must master these four levers:

1. Identity 👤

Who is your AI? Without a clearly defined persona, your AI defaults to a “flat” bot.

  • The Lesson: Define the role, voice, and visual presence. For Snoop, the team leaned into his “Uncle Snoop” persona rather than his earlier stage character. Authenticity is the key to engagement.

2. Context 💾

Context is the glue that holds an experience together. It includes memory, RAG (Retrieval-Augmented Generation), and personalization.

  • The Challenge: If your AI forgets details—like the facts of a specific courtroom case—it breaks the user’s trust. A great AI experience remembers past interactions to provide relevant, personalized value.

3. Judgment ⚖️

How does your system reason and set boundaries? This is where guardrails and policies are non-negotiable.

  • The Tradeoff: Without guardrails, you risk “hallucinations” or erratic behavior, like the infamous Microsoft Sydney incident. Even in a teen-rated game, you must define what is “out of bounds” to keep the experience safe and coherent.

4. Interaction 🗣️

This is the most overlooked lever. It’s not about making AI feel human; it’s about making the AI work well with humans.

  • The Insight: Latency matters, but sometimes “slower” is better. In a game, an immediate response might kill the “punchline” of a joke. In a mental health app, an instant response might feel dismissive. You must calibrate your cadence and tone to the specific user moment.

👾 From Chaos to Coherence

Players are some of the most demanding customers—they love to push boundaries and test the limits of your system. Through the development of Courtroom Chaos, the Amazon Games team realized that the PM’s job is to manage chaos by design.

Whether you are building a game or a productivity tool, the formula remains the same:

  1. Acknowledge the Chaos: Both the model’s outputs and the user’s inputs are unpredictable.
  2. Apply the Levers: Use Identity, Context, Judgment, and Interaction to shape how the system reacts.
  3. Iterate Constantly: Shipping is only the beginning. Use evaluation and orchestration to refine the “vibe” of your product.

💡 Key Takeaways for Your Next Build

  • Differentiation is in the system: The model is becoming table stakes. The product system is your competitive advantage.
  • Trust is hard to earn, easy to lose: If the AI feels broken, users abandon it. Intentional design is the only way to maintain that trust.
  • Be Deliberate: Don’t let your AI drift into “sycophancy” or erratic behavior. Define your guardrails early and test them rigorously.

The Bottom Line: AI is no longer just a tool in the background; it is the experience itself. By focusing on the four pillars of identity, context, judgment, and interaction, you can turn raw, chaotic data into a product that feels alive, personal, and profoundly engaging. 🚀

Want to learn more about how Amazon Games is pushing the boundaries of AI? Check out their team at the next industry event or dive deeper into the world of agentic workflows!

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