Mini content factory from Shi

Good day. I am very interested in your project. I offer quality execution within a moderate timeframe. We can discuss the details of the work and start the implementation.

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Good day!
My name is Valentin, and I represent Arctic Web Agency. We are a team that specializes in creating modern and effective solutions for business. I can provide examples of our similar work in personal messages. We are ready to take your project to work!

Sincerely,
Arctic Web Team
Freelancehunt

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Hello! Without a doubt, I can complete the task of developing a mini content factory with Shi. To carry out this project, I will build a system based on modern technologies, using programming languages such as Python, to create an efficient and scalable content factory.

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Hello! I can implement it. Write to me in Private to discuss the details of the project. I will be happy to collaborate with you!

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Good day. I am ready to complete this project as I have extensive experience in application development.

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Good day. For convenient scaling for media and auto-posting, I suggest developing a bot in Node.js and TypeScript. Such architecture will allow for flexible integration of various AI through API and expand functionality without rewriting the base code. This will free the project from technical crutches and significantly save the budget for the next stages. I propose to discuss the implementation details, deadlines, and price in private messages.

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Good day!
The task is interesting, right in our area of expertise. We have our own AI products of a similar type, so there is a ready architecture and modules that can be transferred.
The tools we offer:
Telegram Bot on Node.js with the grammY framework: stable, handles high loads. PostgreSQL for storing briefs and content, Redis for caching and queues. BullMQ for delayed sending according to the client's schedule.
AI layer multi-provider from the very start: OpenAI GPT-4o, Claude Sonnet 4.6, Google Gemini through a single interface. The admin switches the model globally or for a specific client without changing the code.
The architecture is modular: Bot Layer, AI Layer, Scheduler, Storage. Future expansions: photos through DALL-E or Flux, audio through ElevenLabs, video through Runway, publishing on social media through Buffer API or direct integrations with Meta, X, LinkedIn.
Storage for media: S3-compatible via Backblaze B2 or DigitalOcean Spaces.
VPS: Hetzner Cloud or DigitalOcean.
What will be in the MVP:
… A bot with a multi-step questionnaire (USP, mission, values, products, colors, tone, audience, competitors). A client database with storage of briefs and content history. An AI module with custom prompts for different types (posts, ads, emails, product descriptions). Scheduler with schedule selection and automatic sending.
An admin panel with full control: manual editing of briefs, management of system prompts for each type of content, switching AI models, viewing generation history and token spending.
Relevant experience:
WinBix, an enterprise AI platform for dialogue processing and content generation, with integrations with external systems.
OmniAIDesk, AI-CRM with Copilot for generating responses and analyzing context.
BotFusion, SaaS for AI chatbots with billing and 19+ integrations.
We will transfer ready-made AI logic modules and the Telegram Bot to your project.
A team of 6 people works in parallel on the modules.
We are ready to discuss the details in person and start today.

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Hello! I am Roman, an individual developer with 4 years of experience in developing Telegram bots and AI solutions, so I will professionally implement your "content factory" based on a flexible architecture (Python/aiogram or n8n), which will allow easy scaling from text to media content and provide full control over system prompts and model selection (GPT, Claude, Gemini) through a user-friendly admin panel; I will build the system based on LangChain for quick changes of AI models, PostgreSQL for reliable storage of client briefs, and set up stable operation on a VPS with automatic post scheduling, I work through a sole proprietorship and am ready to create a joint technical specification after a call, and my technical solutions can be evaluated at the following links: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, Behance.

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Hello! We are a team of developers with 4 years of experience in automation and implementation of AI solutions. We specialize in creating autonomous content generation systems ("content factories") that allow for scaling publications without loss of quality and with minimal API costs.

Our project implementation plan:
- Setting up the architecture for interaction with LLM (GPT-4o/Claude) to create structured texts.
- Developing modules for automatic collection and analysis of input data (sources).
- Implementing a system for automatic fact-checking and content uniqueness.
- Setting up auto-posting to necessary channels (CMS, social networks, or messengers).
- Optimizing prompts for stable content delivery in your brand style.

… Please let us know which platforms you plan to generate content for and if you already have selected information sources for AI.
We are ready to start discussing the architecture and execution today.

Price: from 15,000 UAH
Deadline: 7 – 12 days
More details regarding the budget and functionality will be discussed after the specifications in private messages.

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Hello!

Interesting project, I have done similar pipelines - brief → saving client profile → content generation via API → issuance according to schedule.

The stack I propose: Python + aiogram for Telegram bot, PostgreSQL for storing briefs, LangChain for working with different models (GPT / Gemini / Claude - switching at the config level), APScheduler for scheduled issuance. The foundation for media and publication in the establishment's social networks is immediately in the architecture.

Contact me - I will be happy to collaborate!

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Good day, I am a Python developer with extensive experience in developing Telegram bots of various complexity. I can complete your order quickly and efficiently. Write to discuss the details, I am ready to start today. I will also upload your bot to the server for stable operation 24/7 and I will be responsible for the technical support of the bot for another month. This is included in the cost.

I also know n8n, part of the process can be implemented there for automating your task.

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Hello, I worked at a content factory for a few months, write to me in private messages, we will discuss and start the implementation.

Have a good day, Pavlo

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Good day. I propose the following stack:

— Python + aiogram — TG bot for the brief + content delivery
— PostgreSQL — storage of briefs + generated text for each client
— FastAPI admin panel — admin edits brief questions + system prompts, switches models (Claude / GPT / Gemini through one dropdown)
— Adapter layer over AI APIs (LangChain or custom) — model swap without rewriting
— Docker compose on VPS (Ubuntu 22.04+, 2-4GB RAM)
— GitHub Actions CI for deployment

… The architecture is modular, API-first from the very beginning. The bot and admin are clients to the same REST API, so phase 2 (photo/audio/video + social media) will be added without rewriting the core.

Phase 1 (text generation + brief bot + admin + 3 model providers): I can do it for 10,000 UAH in 12-14 days.

If we immediately lay down the infrastructure for phase 2 (Whisper for audio, image AI, OAuth for social media, scheduler for publications) — phase 0+1+2 = 18,000-22,000 UAH, ~25-30 days.

I am ready for escrow + written call (Telegram chat) to agree on the technical specifications.

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Good day.

I quickly drafted a demo version of the AI content generation bot for you: https://www.youtube.com/watch?v=0s4J7AjUvkk

Tools:

-Python 3.12 - programming language
-aiogram 3.4.1 - Telegram Bot API
-httpx 0.27.0 - HTTP client for API requests
… -OpenRouter API - free API for AI (model: google/gemini-2.0-flash-001) for demonstration, I will later reconnect to the one you prefer
- dotenv - environment variables
- PostgreSQL - database
- APScheduler - scheduler
- Docker - VPS.

I am laying the foundation for future expansion for photos, audio, video, and social media publishing and analysis.

I look forward to your feedback.

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Good day, I have experience in building systemic digital solutions and understand how to turn an idea into a scalable product. For such a project, I propose a modern stack: Telegram Bot API for client interaction, OpenAI API for content generation, n8n or Make for process automation, as well as PostgreSQL / Supabase for data storage. For the server side — Node.js or Python with deployment on VPS.

My approach is to immediately lay the architecture for future scalability: text today, and tomorrow — photos, videos, auto-posting, and analytics without rebuilding the entire system. I work structurally, with an emphasis on reliability, API-first approach, and real business value of the product.

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Good day, I have experience working with Python as well as Telegram bots, I can complete everything quickly and efficiently, write to discuss the details.

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Hello!
Very interesting and promising project — just one of those that can be properly laid out and scaled into a full-fledged content service.
I see the implementation as follows:
Technologies: — Backend: Python (FastAPI or Django)
— Telegram bot: aiogram
— AI: OpenAI API (or an equivalent for text generation)
— Database: PostgreSQL (storage of briefs and clients)
— Queues/scheduler: Celery + Redis (for content generation on schedule)
— Hosting: VPS
… What we will implement in the first stage: — bot for client briefing (saving responses)
— structure of the client profile
— generation of text content based on the brief
— automatic sending of content to Telegram on schedule
— ability to edit/update client data
Considering scaling: — we will lay the architecture for adding: • image/video generation
• auto-posting on social media
• performance analytics
I work with similar AI solutions, I understand how to create not just a “bot,” but a system that can be scaled.

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I view this task not as an ordinary Telegram bot, but as a full-fledged content system with proper scaling logic. The main mistake of many performers is to create a temporary solution without architecture, which then has to be rewritten from scratch. I immediately design the system so that new AI modules, CRM logic, multimedia content, publication scheduling, and analytics can be easily added without a complete overhaul. This saves budget, time, and provides stable product development. It is important not just to generate text, but to build a system that truly works as a business tool.

Tools I propose:

Telegram Bot API
Go or Node.js for backend logic
PostgreSQL for storing clients, briefs, and content schedules
Redis for queues, cache, and task scheduling
OpenAI API for generating text content
… VPS for stable system hosting
webhook architecture for scalable operation
admin panel or lightweight CRM for internal management if needed

Work plan:

Architectural design:
joint discussion of project logic
formation of detailed technical specifications
designing the system structure with future scaling in mind
defining briefing and content generation scenarios
Basic infrastructure:
setting up VPS
creating backend architecture
connecting PostgreSQL database
setting up Telegram Bot API
preparing task scheduling system
Client briefing:
creating a Telegram bot for surveys
logic for saving responses for each client
client profile structure
system for editing and updating data
AI content generation:
integrating OpenAI API
logic for analyzing client responses
generating content based on unique selling propositions, values, products, and messages
setting up styles and generation templates
Content delivery:
automatic sending of content in Telegram
publication schedule chosen by the client
scheduler for regular text delivery
status control of sent items
Preparation for scaling:
laying the architecture for photos, videos, audio
preparing for auto-publications on social media
future integration of analytics and CRM modules
Testing and launch:
checking all operational scenarios
testing stability of generation
final adjustments
launching the finished system.

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Hello! The task is clear: it is necessary to implement the architecture of a "content factory," where a Telegram bot serves as the interface for data collection, and the logical core in Python processes it through the API of neural networks. I have experience in developing complex Telegram systems with integration of external services and databases. For your project, I propose the following stack:
• Language: Python (aiogram or pyTelegramBotAPI) — the best choice for asynchronous work with APIs and request queues.
• Database: PostgreSQL for reliable storage of client profiles (brief, unique selling proposition, branding).
• LLM (AI): OpenAI API (GPT-4o) for deep analytics of responses and text generation.
• Infrastructure: Docker + VPS (Ubuntu) for stable operation 24/7 and easy scaling in the future. I have already implemented systems with custom scoring and process automation, so I will lay a flexible architecture so that later you can easily add media generation (photos/videos) and auto-posting. How many questions do you plan to include in the initial brief, and is a confirmation system for the generated text needed before sending?

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Good day, technically integrating your idea with the necessary APIs and Telegram will not be a problem. To achieve a good result after creating the project, it will be necessary to experiment with different prompts and models. I am ready to create such a project for you, the tools - server (Node.js) with all the necessary integrations, Telegram bot on Grammy.js, PostgreSQL database.

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Good day!

I am happy to help bring your idea to life. I propose to implement a mini-content factory based on **Python** using the **Telegram Bot API** for interaction with clients and **OpenAI API** for text generation. I will store client responses in a database, for example, **PostgreSQL** for scalability.

I have experience working with APIs, deploying applications on VPS, and building flexible architectures for future expansions.

Write to me, we will discuss the details and collaboratively create a detailed technical specification.

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I have already developed similar solutions for marketing automation and online stores (for example, an AI assistant for an FPV store and content generation systems for a news website), so I understand how important it is to maintain the "brand voice" based on the brief.

How it will work:
Smart briefing: The bot guides the client through a multi-step dialogue, storing data in a structured JSON client profile.

Knowledge base (RAG): The client's responses become the "foundation." Each new text is generated with the infusion of this context (colors, values, products).

Scheduled generator: The client chooses: "3 texts per week (Mon, Wed, Fri) at 11:00 AM." The system automatically queues tasks.

… Foundation for the future: The architecture will be modular. When you want to add photos — we will simply connect the DALL-E 3 / Midjourney API module, for videos — Veo / HeyGen API, for publishing — Social Media APIs.

My Git: https://github.com/onyx144

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Hello
I will quickly write in Python using aiogram + fastapi
You can connect any neural network via API for generating a content plan, then simply add more requests to other APIs for generating content for the client
For the database, I suggest Postgres to store clients and the statuses of mailings
So there will be some foundation right away, and then you can simply connect APIs, for example, using the same ChatGPT as an orchestrator

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