Agent Interaction Lab

Adaptive agents

Agents that tailor every conversation to you

Agents at Agent Interaction Lab meet you where you are. They tune to your language, your conversation signals, the context and the interaction mode you choose, so every reply feels made for the moment you are in.

A friendly AI agent adapting a conversation between two people in a warm modern lab
In the moment

Every reply is shaped by the conversation

A reply adapts live to the words you use, the flow of the conversation and the agent mode you choose. When you allow it, subtle cues in how you sound help the agent respond with just the right tone.

Always improving

The agents keep getting sharper

Behind the scenes the agents keep refining how they read language and conversation signals, so every visitor benefits from a clearer, more helpful experience over time.

Made for the moment

How an agent reads the conversation

An agent works with your current message and the live conversation, the active agent, language, turn count and interaction mode, and any preference you say out loud, such as shorter, simpler or with an example.

And when you allow it, live cues such as pace, energy and pitch help the agent match its tone to yours, so the exchange feels natural.

Adaptation overview

All the ways the agents tune in to you

Each of these adaptations works live inside your conversation, and each one shows how long it stays with you — from a single message to your whole visit.

Speaks your language

Detects Dutch or English and replies in the same language, turn by turn.

Read fresh from every message you send.

Matches your style

Reads whether you prefer simple, standard or more detailed wording and shapes the reply to fit. Ask for shorter or more detail any time and the agent follows your lead.

Tuned to each message as it arrives.

Explains it your way

Catches a spoken choice like shorter, simpler or with an example, and keeps explaining that way.

Kept for the rest of your conversation.

Reads the room

Picks up on the feeling in your words and adjusts tone, pace and questions to match, while keeping the focus on your situation.

Stays with this conversation.

Clears things up

Notices questions, corrections and moments of doubt and offers a clarifying answer so you stay in sync.

Stays with this conversation.

Tunes to your voice

When you allow it, live cues such as pitch, energy and pace help the agent respond with just the right tone.

Used live for this conversation, while you allow it.

Aware of the moment

Uses the active agent, language, channel, turn and mode to keep every reply relevant to where you are in the conversation.

Stays with this conversation.

Follows the thread

Keeps track of the live conversation so replies stay coherent and build on what you already said.

Kept for this conversation, then makes room for the next.

Brings the right knowledge

Surfaces relevant, curated context for your question, right when you ask it.

Chosen fresh for each question.

Honest when it counts

Flags gently when something is uncertain and points to a way to check, so you can trust what you hear.

Applied fresh to each answer.

Points you to the right agent

Suggests a better-suited agent when your question fits elsewhere, and hands over the moment you say yes.

Held just long enough for you to decide.

Sharper for everyone

The agents keep learning small, quality-checked signals that make every conversation a little smoother.

Shared learning that keeps improving the system for everyone.

Privacy by design

In the moment, on your terms

Every adaptation lives inside your live conversation, tuned to what you say right now. Each visit starts fresh, so the experience is always about the exchange you are having.

You stay in control the whole way through: the agent adapts to the conversation you choose to have, and any extra tuning happens only with your go-ahead.

Read more

The values and the research behind these adaptations

For the general privacy principles and values, see the privacy page. For the scientific basis behind Eva and the work on contextual conversational AI, see the Eva agent model.