All projectsFIELD NOTE 09 / 2026
AI Products & Consumer ExperiencesRAVAND.STUDIO / PROJECT 09

HoosheMasnoei.com — A Persian-First AI Platform

HoosheMasnoei.com brings chat, file analysis, and image and video generation into one Persian-first workspace. Ravand simplified choosing a tool and continuing work, with toman payments and access without a VPN.

Ravand roleStrategy, design, engineering, and release
EngagementIn development
Accountable team3 people
DeliveredShipped
SPECIMEN / 09202609ROOT / BRANCH / OUTCOMEHoosheMasnoei.com — A Persian-First AI Platform
چند ابزار، یک پنل

Chat, files, and media in one place

In development

Engagement

6

Technology & infrastructure

01
ROOT / THE PROBLEM

The problem

AI should not require Persian-speaking users to piece together multiple services, foreign payments, and English-first interfaces.

Research, product behavior, and operational data stayed connected through one shared account of the outcome.

CONSTRAINTS OBSERVED
  1. 01Move operational complexity behind one shared model
  2. 02Make impact observable from day one
  3. 03Protect user trust and clarity
02
BRANCH / THE RESPONSE

The response

We shaped the experience around a Persian-first workspace: choose a model or tool, create the input, review the result, and keep going in the same place.

STEP 01

One Persian workspace

A single starting point

STEP 02

Model choice

The right tool for each task

STEP 03

Continuous flow

No service-hopping

03
OUTCOME / MEASURED

The outcome

One starting point for chat, research, multimodal creation, and file work—designed to make everyday AI more accessible in Persian.

01

Model choice

02

Multimodal

03

Accessible by design

SYSTEM MAP / 04 LAYERS

System map

Each request moves from user input to model or tool selection, secure execution, a clear result, and a traceable history of usage.

LAYER 01

User input

Prompt, file, or idea

LAYER 02

Model or tool

Task-aware routing

LAYER 03

Result and history

A traceable output

04
PROCESS / In development

Build process

We simplified the most common journeys first, then brought chat, multimodal tools, model discovery, and subscriptions into one product architecture.

01 / ROOT

Core journeys

Chat and file analysis

02 / TRUNK

Creative tools

Image and video

03 / BRANCH

Model discovery

A catalog for choice

Principles

PRINCIPLES / 03
01

Clarity

Simple Persian language

02

Agency

The right model for each need

03

Trust

Clear payments and support

01
MODULE / RESOURCES

Resources

The product’s core paths are available from the website, with a clear entry point for each tool.

01Chat/panel/chatravand.studio02Image and video/panel/image-generation-v2 and /panel/video-generation-v2ravand.studio03Model catalog/panel/modelsravand.studio
02
MODULE / STACK

Technology stack

The product layer coordinates multimodal tools and access to multiple models with subscriptions, payments, and usage visibility in a Persian-first experience.

Persian experience

RTL web app

Multi-model AI

Chat and content creation

Product operations

Subscriptions, payments, usage

DELIVERY LEDGER

Delivery ledger

The result is an everyday AI platform: chat, search, file analysis, image and video generation, and model choice in one connected path.

Chat and research01
Multimodal studio02
One access layer03

The next problem can take root in one clear conversation.

If your problem sits between product, engineering, and growth, let us define it precisely together.

Start a conversation