Selected Project / AI services

LLM Chat API

API project

Service infrastructure for organising users, topics and message flows in AI conversation products.

Store release not verified

Store check: 2026-10-15 · Türkiye and US. Availability can vary by country.

LLM Chat API

The story behind the product · 3 min read

Organizing a conversation before generating its text.

A chat product needs account and conversation organization as well as an answer-generating model.

01 / Experience

Connect users, topics and messages

  1. Sign in

    Registration, login and access/refresh tokens establish the user context.

  2. Create a topic

    Topic and chat routes establish which conversation a message belongs to.

  3. Revisit history

    Messages and search history have separate responsibilities. The API manages conversation structure rather than merely returning answer text.

02 / Product structure

What sits behind the screen?

These areas support one experience through different responsibilities, keeping the user-facing flow simpler.

Users

Registration, login and user actions.

Topics

Topic and chat organization.

Messages

Message records and controller layer.

Search history

Search-history endpoints.

For the technically curious: code and architecture

The Node.js/Express structure separates routes, controllers, middleware and data access. History adds access/refresh tokens, Google OAuth and topics. The API does not by itself establish a production model or its performance.

03 / Commercial structure

Commercial model and implemented boundaries.

No subscription, paywall or advertising-revenue service was verified. Authentication and conversation records may support a product but are not an implemented billing model.

04 / Publishing & growth

How does the product reach its audience?

Distribution is an API called by mobile/web clients. Store presentation and acquisition campaigns are separate from the service; it is not presented as a standalone App Store product.

05 / Development

From one idea to a product flow.

History moves from initialization to token authentication, Google sign-in and topic management. The phase-one commit brings account and record foundations together.

Based on reviewed local source, available Git messages and product records. Development features may differ from the store version; where available, screenshots come from the existing store presentation; module cards are explanatory diagrams.

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