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details for llm

For analysis: read /llms.txt first, then /agent_manifest.txt, /agent_ide_context.txt, and /agent_context.txt. These text files explain the platform, IDE layer, API, limits, and safe workflow. PHP links are API equivalents.

Site model: VOSCOM is an LLM-friendly / AI Agent ready platform with a public website and a private browser IDE layer. The IDE opens only after human registration and login.

IDE tabs: AI Build, AI Agent, Profile, Project, Schematics, IoT Devices, Terminal, Firmware Flashing, News, Market, Community Chats, Private Messages, Support, Hardware Components.

Safety: An AI agent must not enter private IDE pages, accept legal terms, request passwords/tokens, write projects, publish content, request builds, or flash hardware without human confirmation.

Learning path into embedded, IoT, and MWOS

Students and learners

VOSCOM.ONLINE helps people study device development through practical projects, not only through text: choose a controller, assemble an MWOS configuration, test an idea with AI Build, prepare demo firmware, and understand the terminal, schematics, components, and documentation.

Learning workspace
Format
Practice through projects, modules, and firmware
Base
MWOS, ESP32, STM32, Arduino, IoT, and sensors
Tools
AI Build, projects, schematics, terminal, and flashing
Result
A clear path from a learning idea to a working prototype
Legal and age restriction

This resource is intended only for users aged 18+

For safety reasons, this resource must not be used by people under 18. The platform involves electronics, firmware, hardware connection, network settings, content publication, and internal services, so work requires full legal capacity and personal responsibility.

  • Minors must not independently register, accept terms, run builds, flash devices, or connect hardware through the platform.
  • If materials are used in an educational organization, a responsible adult teacher, mentor, or legal representative must manage the process, equipment, and safety.
  • The platform is in demo MVP mode: some functions may be incomplete, and any work with real hardware requires caution and verification.
What students get

Study on an engineering platform, not on abstract examples

This section is for adult students, junior engineers, lab participants, and independent learners who want to understand the full cycle of an embedded or IoT project.

Start
From idea to configuration
Describe the task, choose a controller, sensors, and modules, then turn it into an IDE project.
Practice
Build and validate
AI Forge helps prepare MML/configuration, validate the project, and produce demo firmware.
Growth
Portfolio and contribution
Learning drafts, notes, modules, and useful materials can gradually become visible ecosystem contributions.
What can be studied

Core learning directions inside VOSCOM

The platform combines several learning layers: device architecture, microcontroller programming, sensors, network protocols, documentation, and controlled firmware builds.

MWOS

Modular firmware architecture

A student can view a project as a set of clear blocks: controller, sensors, connectivity, debugging, OTA, and user functions.

  • Understand project structure, MML/configuration, and links between modules.
  • See why modularity speeds development and reduces firmware chaos.
AI Forge

AI help for project preparation

AI does not replace the engineer, but helps move faster from a task description to a project draft and action list.

  • Formulate tasks for ESP32, STM32, Arduino, and common IoT scenarios.
  • Prepare drafts, validate configurations, and explain build errors.
Hardware

Controllers, sensors, and components

Learn which boards, modules, interfaces, and sensors fit a specific task.

  • ESP32/ESP8266, STM32, Arduino, UART, I2C, SPI, GPIO, power, and basic peripherals.
  • Work with the component library, module descriptions, and templates for typical devices.
Firmware

Build, download, and flash

The learning flow shows how a firmware file appears from a configuration and how to prepare for writing it to a controller.

  • Demo builds, artifact list, and transition to the flashing window with filled parameters.
  • Understand that the real device is flashed by the human user, not by an external AI.
Debugging

Terminal and diagnostics

The terminal helps study serial communication, message logs, timestamps, and device behavior.

  • Connect to a device, view logs, save the journal, and analyze messages.
  • Keeping terminal and firmware flashing separate makes diagnostics clearer.
Communication

News, Market, chats, and documentation

Students can learn to prepare materials, read news, inspect product cards, and discuss projects in work sections.

  • Publications and products go through moderation, so training content should not pollute the public site.
  • Documentation, components, and discussions help turn learning work into a clear engineering result.
Progress and growth

Directions where a student can grow

The student track can work as a personal growth route: start with simple training builds, then move toward independent projects, documentation, module validation, and team work.

Engineering base
Schematics, power, interfaces
Understand controllers, sensors, GPIO, UART, I2C, SPI, and basic hardware logic.
Firmware
MWOS, build, debug
Move from ready examples to personal configurations, logs, errors, and build artifacts.
IoT and integration
Connectivity, MQTT, OTA, data
Work with network scenarios, telemetry, updates, and device links to external systems.
Portfolio
Documentation and contribution
Prepare projects, notes, component cards, and useful materials that show the real level of the user.
Training project ideas

What can be built on the platform

These examples fit learning and demonstrate VOSCOM AI FORGE capabilities at the MVP stage.

IoT

Temperature and humidity monitor

ESP32 or ESP32-S3, BME280/DS18B20, Wi-Fi, MQTT, logging, and simple telemetry.

Diagnostics

Learning serial terminal

Controller connection, log analysis, message filtering, and experiment journal export.

Automation

Relay or actuator controller

Safe control logic, input/output states, and basic emergency protection scenarios.

Documentation

Component card or learning note

Sensor description, wiring diagram, parameters, limits, and a usage example.

Team

Small lab project

One participant prepares schematics, another MWOS configuration, a third documentation, and a fourth verification and presentation.

Internal currency

Flux, Solder, and Gold Wire in the learning track

The platform includes an internal economy. For students it can work as a clear progress system: useful actions, careful materials, helping others, and engineering contribution receive measurable internal value.

  • Flux can reflect regular useful activity: completing learning paths, publishing quality training materials, and helping in discussions.
  • Solder can be granted for more complex contributions: verified modules, good component descriptions, testing, and mentoring.
  • Gold Wire belongs to the premium and commercial layer. Exact economy rules will be refined as the MVP develops.
  • Internal currency may be spent on additional limits, project slots, priority builds, and expanded learning capabilities.
  • Part of the currency may be used for access to more complex tasks, expert review, mentoring, and special profile functions.
  • In the MVP this is a working model for motivation and growth: exact prices, limits, and spending rules will be refined gradually.
Start learning

The best entry point is a small real project

Start with a simple task: one controller, one sensor, a clear goal, and a clean description. Then add AI Build, terminal, flashing, documentation, and gradually expand the project.