EMIR SEMENOV / AI BOT SYSTEMS

I build digital operators.

Bots that communicate, reason, and take controlled action across social platforms and service systems.

Experimental portfolio · Istanbul / remote

TelegramInstagramWhatsAppAI cores
Scroll through the signals

HUMAN / SYSTEM

Human intent stays at the center.

I design the conversation around a real need first. The model, memory, tools, and automation follow that need—not the other way around.

Conversation design · product logic · technical architecture

IntentContextToneHandoff

CONVERSATION / INTERFACE

A message can become an interface.

The bot turns an unstructured request into clear states: understand, verify, ask, retrieve, propose, confirm, and only then act.

Useful dialogue has structure without feeling mechanical.

01Multilingual02State03Retrieval04Confirmation

INTELLIGENCE / ORCHESTRATION

The model is one part. Not the product.

Production intelligence needs routing, grounded knowledge, permissions, memory boundaries, fallbacks, observability, and an honest path to a human.

Provider-agnostic by design

LLM routingRAGTool useMemory

CHANNEL FLOW

One logic. Every channel speaks differently.

Telegram can feel like an operating console. Instagram begins inside a social moment. WhatsApp carries service expectations. The core can be shared; the behavior cannot be copied blindly.

The platform is part of the experience.

Telegram botsInstagram messagingWhatsApp servicesWeb chat

CONNECTED ACTION

Useful when it can act. Safe when it knows the limit.

A bot becomes operational through calendars, CRM, catalogs, payments, knowledge stores, and internal tools. Write actions remain explicit, reversible, and observable.

Automation needs boundaries before it needs scale.

CRMCalendarCatalogPaymentsHuman approval

CONTROL / VISIBILITY

No black boxes in production.

Every important route should explain what it read, what it decided, what tool it called, and why it stopped. The interface can feel magical; the operation should remain inspectable.

Confidence · sources · audit · escalation

01 Least privilege02 Rate limits03 Audit trail04 Source citations

SYSTEMS CATALOG

Eight architectures, ready to scope.

The catalog turns the visual thesis into concrete business systems: functions, operating routes, stacks, optional model choices, safeguards, and build packages. No live AI connection is implied.

Prepared blueprints, not client claims

Selected architecture previewThree entries from the eight-system catalog below. No fabricated clients, metrics, or production results.

ORBIT / 01Telegram + WhatsApp

AI service concierge

Purpose
Qualify a service request, retrieve verified information, and prepare a booking or human handoff.
AI core / integrations
LLM routing · cited retrieval · structured tool calls · conversation state
Designed result
A controlled route from first message to a verified next step.
PULSE / 02Instagram + WhatsApp

Social commerce operator

Purpose
Answer grounded product questions, qualify intent, and route exceptions without inventing availability.
AI core / integrations
Intent classification · catalog retrieval · confidence policy · escalation
Designed result
Faster product discovery with human control over promises and exceptions.
SIGNAL / 03Telegram + private web

Private knowledge operator

Purpose
Find internal knowledge, expose sources, and draft actions within role-based permissions.
AI core / integrations
Private RAG · access checks · citations · approval-gated tools
Designed result
An auditable path from a question to a grounded answer or explicit abstention.
E/SOpen systems catalog
STATIC / NO MODEL CALLSRU

EXPERIMENT 01 / IMPLEMENTATION CATALOG

Choose the system before choosing the model.

Eight prepared architectures for real business workflows. Each blueprint separates channel behavior, business state, data, optional intelligence, controls, and delivery work.

INDEX
08 / solution blueprints
RUNTIME
STATIC / CLIENT-SIDE
AI
OPTIONAL / NOT CONNECTED
Filter by business task

Selected architectureSQ-01

Lead qualification concierge

Turns an unstructured first message into a complete sales brief, a scored opportunity, and a controlled handoff.

TelegramWhatsAppWeb
Designed for

Creative studios, agencies, B2B services, integrators, consultancies

Designed outcome

A qualified request reaches the right person with context, urgency, budget range, and next action already structured.

01

Operating route

  1. 01Receive
  2. 02Qualify
  3. 03Score
  4. 04Confirm
  5. 05Handoff
02

Functional scope

  • 01Intent and service-line detection
  • 02Adaptive discovery questions
  • 03Budget, deadline, fit, and urgency capture
  • 04Lead scoring with an explainable rule set
  • 05CRM draft and owner notification
  • 06Calendar proposal after explicit confirmation
03

Production controls

  • C1No CRM write before user confirmation
  • C2Deterministic scoring remains the source of truth
  • C3Sensitive fields are minimized and retention is configurable
04

Delivery stack

Application
  • Next.js
  • TypeScript
  • Node.js
  • Webhook adapter
Data
  • PostgreSQL / Supabase
  • Redis rate limits
  • Consent log
Operations
  • CRM adapter
  • Calendar adapter
  • OpenTelemetry
  • Vercel / Docker
Integration surface
HubSpot / amoCRMCal.com / Google CalendarEmailSlack / Telegram alerts
05

Optional intelligence layer

MODEL REFERENCE / 03 SEP 2026

The business workflow remains usable without a model. AI is added only where evaluation proves a measurable benefit.

EconomyOPTION / NOT CONNECTED
Provider
Google
Model / runtime
Gemini 3.5 Flash-Lite
Assigned role
Intent classification, field extraction, short summaries
Use when
High-volume, latency-sensitive intake
BalancedOPTION / NOT CONNECTED
Provider
OpenAI
Model / runtime
GPT-5 mini
Assigned role
Adaptive questioning and schema-constrained brief generation
Use when
Complex services with varied customer language

Architecture options only. No provider is connected and no request is sent. Exact availability, pricing, data controls, and regional access must be verified before implementation.

06

Build package

  1. 01

    Conversation map and qualification schema

  2. 02

    Channel bot, CRM adapter, and human inbox

  3. 03

    Golden test set, analytics events, and release runbook

OPEN CHANNEL

Let’s create the next signal.

I am interested in experimental bot products, demanding service automation, and AI interfaces where reliability matters as much as the idea.

Available for selected experiments