CAP-00 / CAPABILITIES05

Five technical problem areas. Two expertise lanes. One delivery system.

Product, frontend, backend, data, AI, cloud and operations are combined with UI and visual experience in one product system.

LIVE CAPABILITY MAP

LIVE

Choose a layer. Open its system, tools and live flow.

CAPABILITY / SYSTEM

CURSOR / REVEAL SYSTEMLIVE FIELD

DELIVERY / ROLES

One product. Two expertise lanes. Shared delivery.

LIVE COLLABORATION

AHMET / SYSTEM

Product + technical system

Product architecture

Systems architecture

Frontend + Backend

Data + AI

Cloud + release

SEÇİL / EXPERIENCE

UI + visual experience

UI design

Visual direction

Interaction design

Brand interface

Experience polish

SHARED / DELIVERY

Product experienceResponsive interfaceDesign → CodeLive product quality

[Capability map]

Diagnosis → working system

CAP-00

Product & system problems

[Area detail]

C01 · Product & Systems Architecture

SYSTEM / COMPOSE

LIVE

FRONTEND

COMPONENTS

BACKEND

API + EDGE

DATA

AUTH + DB

CLOUD

EDGE

01scope.lock()

02route.frontend()

03connect.backend()

04bind.data()

05ship.system()

01scope.lock()

02route.frontend()

03connect.backend()

04bind.data()

05ship.system()

What problem does this solve?

The product grew without a coherent architecture: too many moving parts, unclear scope, and web/mobile/backend that do not fit together.

What I do

I reduce the current product and its flows to one system map.
I cut scope and write the decision order and ownership.
I design data and service boundaries, SaaS and multi-platform structure.

What you get

System map and architecture decisions
Prioritized roadmap
Data and service boundaries

Tools

Proof / relevant work

Ordovia: tasks, notes and planning running from one product model across web, Android and Windows — I built the product architecture, data model and release side.

Ordovia case

RELATED / GRAPH

[[SERVICES]][[PROJECTS]][[TOOLS]]

[Capability map]

Diagnosis → working system

CAP-00

Product & system problems

SYSTEM / COMPOSE
LIVE
FRONTEND
COMPONENTS
BACKEND
API + EDGE
DATA
AUTH + DB
CLOUD
EDGE
01scope.lock()
02route.frontend()
03connect.backend()
04bind.data()
05ship.system()
01scope.lock()
02route.frontend()
03connect.backend()
04bind.data()
05ship.system()
What problem does this solve?
The product grew without a coherent architecture: too many moving parts, unclear scope, and web/mobile/backend that do not fit together.
What I do
I reduce the current product and its flows to one system map.
I cut scope and write the decision order and ownership.
I design data and service boundaries, SaaS and multi-platform structure.
What you get
System map and architecture decisions
Prioritized roadmap
Data and service boundaries
Tools
Proof / relevant work
Ordovia: tasks, notes and planning running from one product model across web, Android and Windows — I built the product architecture, data model and release side.
Ordovia case
RELATED / GRAPH
[[SERVICES]][[PROJECTS]][[TOOLS]]

NEXT / ACTION

You do not need to know which capability you need.

Tool catalogue

CAPABILITIES / DIRECT ANSWERS

Separate the concepts by the problems they solve.

I define capabilities by the problem they solve and the output they create, not as a list of tools.

A-01

What is the difference between product and systems architecture?

Product architecture clarifies what should be built, for whom and in what order. Systems architecture defines how data, services, integrations, performance and technical boundaries support that product.

A-02

What problem does information architecture solve?

It solves discoverability and governance problems that appear as content, categories, fields and relationships scale. Outputs include taxonomy, content models, field dictionaries and maintainable quality rules.

A-03

What does AI context engineering mean here?

It means designing which real data a model sees, when it sees it and in what shape. The goal is not larger prompts; it is a reliable workflow connecting data, tools and explicit evaluation rules.

/ 03

VERIFIED CREDENTIALS

Verifiable learning and participation records.

Capabilities are presented with verifiable learning, production and delivery evidence rather than tool lists alone.

Verified record

Certificate of participation

Sıfırdan Bire Yapay Zekâ

Komünite

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Verify record

Issuer: Komünite
Participation date: 08 Jan 2026
Digital badge issued: 13 Jan 2026
Skill: Artificial intelligence
Standard: Open Badges v2
ID: 23644757834113

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