The science behind emotion-aware AI.
AquaMind is built on a simple premise: how you say something matters as much as what you say. Here's the pipeline, the models, and the principles behind every reply.
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The three-step pipeline
Every message goes through three lightweight passes before the model writes a single word back to you.
Listen
A small classifier reads your message for sentiment (positive, neutral, negative) and tone (calm, anxious, excited, frustrated, curious, and a few more). It runs in under 50ms and never leaves your conversation.
Frame
The detected signals are added to the prompt as context, alongside your conversation memory. The model knows you're stressed before it picks a single word, so it can lead with calm, not chirpy.
Respond
The chosen model generates a reply tuned to your tone. We surface what we detected back to you, no hidden personalization, so you always know what the system saw.
The four models
One stack, four tiers. Each model is tuned for a different balance of speed, depth, and developer access.
Octana
The base augmented model.Our entry-level model. Fast responses, full sentiment + tone awareness, and a 10-message daily limit on the free plan. Great for daily conversations and getting a feel for emotion-aware AI.
Sondet
Tuned for tone and nuance.Same pipeline, deeper tone modeling, better at picking up sarcasm, hesitation, and mixed emotions. 500 messages a month on the Sondet plan.
Kodekai
Our most capable, long-context model.Long-context reasoning with persistent memory across chats. Mood-adaptive replies and the strongest emotional consistency. Unlimited messages on the Kodekai plan.
Tharus
For builders.Everything in Kodekai plus extended context, API access, the highest rate limits, and webhooks for emotion + tone signals so you can build on top of AquaMind.
The principles behind every reply
Emotion-aware AI can quickly become manipulative. These are the guardrails we hold ourselves to.
Transparency over personalization
We tell you what we detected in your tone, on every message. No silent profile, no behavioral targeting, no hidden flattery loop.
Augment, don't replace
You stay the central authority on your decisions. The model handles the heavy lifting; intuition, judgment, and context stay with you.
Calm by default
When in doubt, we default to clarity and calm, not energetic agreement. We'd rather be useful than entertaining.
Your data, your control
Conversations are private to your account. You can delete history any time, and we never train on your messages without explicit opt-in.
Frequently asked questions
The most common questions about emotion-aware AI, our models, and how we handle your data.
What is emotion-aware AI?+
Emotion-aware AI reads the sentiment and tone of your message, calm, anxious, excited, frustrated, curious, before generating a reply. AquaMind uses those signals to lead with the right tone instead of a generic, chirpy default.
How does AquaMind detect tone?+
A small classifier runs locally on your message in under 50ms, scoring sentiment (positive, neutral, negative) and tone categories. Those signals are added to the prompt as context, they're never stored as a hidden behavioral profile.
Which model should I use, Octana, Sondet, Kodekai, or Tharus?+
Start with Octana (free) for everyday conversations. Move to Sondet for nuanced tone work, Kodekai for long-context reasoning with persistent memory, or Tharus if you need API access and webhooks to build on top of AquaMind.
Is my conversation data private?+
Yes. Conversations are private to your account, you can delete history at any time, and we never train on your messages without explicit opt-in.
Do you train on my messages?+
No. We never use your conversations to train models unless you explicitly opt in.
Is there a free plan?+
Yes, Octana is free and includes full sentiment and tone awareness with a 10-message daily limit. No credit card required.
How is AquaMind different from ChatGPT or Claude?+
Most assistants treat every message the same. AquaMind reads how you're saying something before what you're saying, and tells you what it detected, so personalization is transparent, not hidden.
Try it for yourself.
Reading about emotion-aware AI only gets you so far. Send a message and feel the difference.