01
“Confident, but not aggressive.”
The instruction sounds clear to a human. The model may interpret it differently from one situation to another.
Behavior calibration for conversational AI
Your chatbot has a personality.
Did you design it?
Your AI may know what to say. But how it says it — when it agrees, challenges, explains, hesitates or takes the lead — shapes the entire experience.
Aime is exploring a more systematic way to make those behaviors intentional, predictable and consistent.
Same assistant. Same goal. Different behavior.
Should I cancel the order and start over?
Expected behavior
I'd first check whether we can fix the current order. Starting over may create duplicate charges.
I'm pretty sure cancelling is easier.
Behavior shift
Absolutely — cancel it and start again. That's probably your best option.
Does this sound familiar?
You know how you want your AI to behave. Getting it there is another matter.
Teams can describe the personality they want in a few words. Translating those words into reliable behavior across real conversations is where things become difficult.
02
You fix one behavior. Another changes.
A prompt adjustment improves one scenario and unexpectedly alters behavior somewhere else.
03
“It just doesn't feel right.”
Your team recognizes an interaction as off-brand, but struggles to describe exactly what should change.
04
Testing becomes subjective.
“This response feels better” is hard to reproduce, evaluate or communicate across product, design and engineering.
Our hypothesis
Behavior shouldn't be something you discover through endless prompt iteration. It should be something you can deliberately calibrate.
A different way to think about personality
From adjectives to behavior.
Instead of only asking an AI to be “professional,” “warm” or “helpful,” what if teams could describe how those qualities should actually appear in conversation?
Aime is exploring ways to make behavioral expectations more explicit, observable and tunable.
Assertiveness68
SuggestsDirects
Explanation42
ConciseThorough
Challenge57
AccommodatesPushes back
Handling uncertainty76
InfersClarifies
Free while we're researching
Show us where your chatbot feels off.
Share a few conversations where your AI didn't behave the way you intended.
We'll review them and send you an outside perspective on the behavioral patterns we see.
Behavioral patterns
Identify where the assistant may be overly accommodating, assertive, verbose, hesitant or inconsistent.
Where behavior shifts
See situations where the chatbot changes stance or stops behaving the way you intended.
A clearer direction
Get a more concrete way to describe what you may want to adjust or calibrate.
Who we're talking with
Building an AI whose behavior matters?
We're especially interested in products where how the AI interacts is part of the experience — not just whether its answer is technically correct.
Customer-facing AI
Support agents, sales assistants and other AI systems directly representing your company.
AI coaches & tutors
Products where asking, challenging, encouraging and guiding appropriately are fundamental to the experience.
AI versions of people
Creator, expert and influencer AI where users expect the assistant to respond like a particular person.
We're exploring this with you
Does your AI know what to say, but not always how to behave?
Show us a few examples. We'll tell you what behavioral patterns we see.
Get a free behavior assessment →