Beyond the Model: How Interaction Design Makes AI Useful

Which LLM should you use? That’s usually the first question.

But after building real-world AI systems, we realized something:

• 👉 The model matters.

• 👉 The design of interaction matters more.

Most people expect AI to “just work.” In reality, without the right structure, even the best models will:

• Drift off-topic

• Produce inconsistent answers

• Sound confident… but be wrong

So instead of chasing models, we focused on how the AI thinks:

1. Clarity over creativity

Clear, explicit instructions outperform clever prompts every time

1. Structure over free-form

Predictable outputs = reliable systems

1. Context over assumptions

Better input → better output

1. Systems over single prompts

Breaking problems into steps dramatically improves accuracy

The result?

👉 It starts feeling less like a chatbot…

👉 And more like a dependable system

That’s the shift happening right now: From “cool demos” To “production-ready AI”

So yes - model choice matters.

But the real leverage?

How you design the interaction.

First published on https://www.linkedin.com/feed/update/urn:li:activity:7452574422995079170