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R&D engine for AI personas

AI personas that understand how people feel

A persona engine with emotional intelligence, memory, and an NLP scenario layer. Any vertical, any channel via API.

Not a chatbot — a research-grade persona engine.

Emotional IntelligenceMultilevel MemoryNLP Scenarios

01 · Engine layers

What templated bots don’t have

Three layers a templated bot doesn’t have: emotion, memory, and NLP scenarios — they turn a script into a persona.

Templated bot

Script

One tone for everyone

  • Templated tone
  • Reactive replies

Synchatica

Persona

Rhythm adapts to the user

  • Tone tracks emotion
  • Confidence per-message

02 · Ematory Engine

Engine architecture

The ingress changes — the core stays the same. Telegram, web chat, voice, or custom API: no branching logic.

01 · Telegram · API · voice

Channel ingress

Any channel through one adapter. Telegram as the R&D polygon.

03 · Emotional Signal Layer

Emotional rhythm of dialogue

Tone, empathy, confidence — adaptive signals that shift on their own, tracking how the person talks to the persona in real time. Exposed as API fields for external analytics.

Tone51%
Empathy73%
Confidence32%
Style guideline · Joy

Warm, light tone. Short phrases, exclamations welcome, persona leads the dialogue.

Tempofast
Lengthshort
Escalationlow
Emojiok

8 Plutchik primaries — each drives its own response style guideline.

04 · Verticals

Where the engine is deployed

One engine, several configured profiles per task: persona, memory, scenarios, and emotion tuned to the vertical.

01

Dating

Romantic tone, relationships as a memory variable.

  • Personaromantic archetype
  • Memorydating history
  • Scenariosice-breaker → closeness
  • Emotionhigh empathy
02

Support

First-line with empathy and human handoff.

  • Personaexpert + caregiver
  • Memoryticket history
  • Scenariostriage → handoff
  • KBRAG over docs
03

AI companion

Long-running companion that remembers and grows.

  • Personashaped to the user
  • Memorylife facts
  • Scenariosrituals and check-ins
  • Emotiontracks state
04

Community

Facilitator inside group channels.

  • PersonaSage / Jester
  • Memorygroup + user_ids
  • Scenariosevents, retention
  • Moderationsafe-fallback
05

Concierge / VIP

Proactive concierge with CRM context.

  • Personaformal tone
  • MemoryCRM + orders
  • Scenariosproactive touchpoints
  • Handoffescalation

05 · Conversation API

One contract — any channel

POST /api/v1/conversation: text, image, or voice. Telegram, web, voice, custom — through one endpoint with a single contract and a per-vertical persona profile.

POST /v1/conversation

curl -X POST https://api.synchatica.com/v1/conversation \
  -H "Authorization: Bearer $KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "user_id": "u_482",
    "message": "Help me pick a plan",
    "persona": { "archetypes": ["Sage"], "tone": "warm" }
  }'
ChannelsTelegram · web · voice · custom
Modalitiestext · image · voice
Memoryper user_id, multilevel
Rate limit60 RPM / key
API documentationDiscuss deployment

06 · Impact

Metrics from R&D tests

Dialogue depth

×0.0

Replies per dialogue

Growth

Retention

Growth

+0%

Return rate

Time-to-resolution

Reduction

−0%

Support with RAG

Persona consistency

Stable

0%

On long dialogues

07 · Comparison

Synchatica vs. templated chatbot stacks

Side-by-side on the layers that matter — emotion, memory, scenarios, and channel adaptation.

CriterionSynchaticaTemplated botsLLM wrappers
Emotional rhythmAdaptiveNoneRandom
Per-user memoryMultilevelNoneWindow-trimmed
Persona per verticalDeepNoPrompt
NLP scenario layerYesIntent treeNo
ChannelsAPIHost-onlyDIY

08 · FAQ

Frequently asked questions

No. It is an R&D persona engine. A persona is assembled from four layers — emotional intelligence, multilevel memory, engagement mechanics, and an NLP scenario layer — and configured per vertical. We build personas, not chatbots.

Telegram is the R&D testing ground for validating hypotheses. The engine embeds into any channel through one Conversation API: web chat, voice, messengers, or your own client.

Dating, support, AI companions, community management, and concierge / VIP service. One core, different builds of persona, memory, and scenarios per task.

Tone, empathy, and confidence are adaptive signals based on the Plutchik wheel. They change on their own, tracking how the person communicates with the persona and their emotional state in real time, and are exposed as fields in the API response.

A single HTTP endpoint, POST /api/v1/conversation, accepts text, image, or voice and returns the persona reply with emotional-layer metadata. Memory is kept per user_id; the persona profile is set per API key.

Every rollout runs in a private deployment with its own base URL and isolated contour. Memory and dialogue history are isolated per user_id; a custom KB is attached through RAG at key level.

Let’s discuss deployment for your vertical

Tell us what you’re building — we’ll come back with how Synchatica maps onto your scenario.