Budget: 8000 UAH Deadline: 7 days
Hello! My name is Ilya, I have been working in AI automation and implementing AI solutions for over 2 years. ↗️ I have worked on projects of various scales, from small teams to companies with complex business processes. I help automate work tasks using AI: data processing, content creation, customer interactions, internal processes, and integrating LLM systems into daily operations. ✅ I have practical experience in building AI workflows, automating processes, and integrating AI tools (ChatGPT, Claude, Gemini, and other models) into business processes. I can work both independently and as part of a team with developers, marketers, and other specialists within the project. 📌 In my work, I first analyze tasks and current processes, after which I propose automation solutions. Without unnecessary complexity and without implementing AI where it does not provide real benefits. I am happy to discuss the details of collaboration and help determine which processes can be effectively automated in your project. I am ready to quickly get started. I look forward to the opportunity to collaborate!
Budget: 27000 UAH Deadline: 30 days
Hello! I am the project manager of Business Atlas.
We specialize in creating systems that become the "digital brain" of a business, rather than just chatbots. We have over 50 successfully implemented projects, and your case is the perfect task for our Low-code architecture.
Here’s how we implement Phase 1 to create a reliable foundation for further scaling:
1. Architectural solution (Low-code base)
We will build the system based on n8n, which will allow for easy layering of call analysis, file search, and team access in the future without rewriting code. Our tech specialist Lavr will transform your logic into stable workflows.
2. Implementation of Phase 1 functionality:
• Telegram as the single point of entry: We will create a bot that will accept text and voice and have a convenient command menu.
• Voice notes → Tasks: Through Whisper (OpenAI), we will set up transcription and automatic extraction of essence. We have experience with AI assistants that take notes, record, and assign tasks during conversations.
• Promise tracker and reminders: The system will recognize triggers like "I promised" or "I owe" and record them in the database (Airtable/PostgreSQL). We have already implemented auto-reminder systems that help keep everything under control.
• Daily report: Every morning, the bot will send a structured digest: current tasks, deadlines, and priorities for the day.
• Memory of contexts: We will provide the AI agent access to a "knowledge base" (RAG) about your contacts and agreements. We use similar logic in AI agents for onboarding, which know the entire company database.
3. Why this will work:
• Scalability: In Phase 2, we will simply connect call analysis modules to the already existing core.
• Experience: We have implemented over 50 projects, freeing owners from routine tasks.
Cost of Phase 1 development: $3,500
Timeline: 4–5 weeks
Write to me privately — we will discuss the database architecture for storing the assistant's "memory" and we can start.
Budget: 5000 UAH Deadline: 14 days
Hello, Ernest!
I am implementing an AI assistant in Telegram through Make.com or n8n — both platforms are well-suited for building a scalable system with tasks, memory, and voice processing.
What I can do:
1. Set up a Telegram bot: receiving text/voice, transcription, and extraction of tasks, deadlines, and responsible persons;
2. Implement a task and promise tracker with reminders and overdue control;
3. Set up daily reports + context preservation (people, agreements) with scalability options.
I am ready to discuss the details and start working.
Budget: 6000 UAH Deadline: 1 day
I have already been working on the development of AI agents with a memory system. Currently, I have free time to work on the project and upload the bot today.
We can discuss the details in private messages.
Budget: 14000 UAH Deadline: 10 days
Hello! Your task requires not just the development of a bot, but the design of an intelligent system with a flexible architecture. My experience in creating complex MAM terminals and high-load systems allows me to implement Phase 1 in a way that will serve as a reliable foundation for further scaling. I will implement this project in Python (Backend) using asynchronous programming for instant response. For transcription and context analysis, I will integrate the OpenAI API (Whisper + GPT-4o), which will enable the bot to extract tasks and deadlines even from long voice notes. How I will implement the key points: • Architecture: I will use a modular approach and PostgreSQL for storing the context of agreements and "memory" about people. • Task processing: I will set up a state machine (FSM) and task queues for automatic reminders and daily reports. • Voice input: Optimized processing of audio files with automatic parsing into structured tasks. Since I have experience working with APIs of complex brokerage systems and blockchain monitoring, I guarantee code cleanliness and logic stability during data transmission to the admin or in a group.
Budget: 5000 UAH Deadline: 7 days
Hello, I can create such a system for you. All information will be stored in your database. The technical specifications are mostly clear, I will do the project and package it in Docker. I will do it for 5,000 UAH.
Budget: 16000 UAH Deadline: 10 days
Good day.
I am ready to take your project into work.
I can develop such an assistant for you using n8n.
Write to me privately, we will discuss all the nuances of your technical specifications and choose a suitable solution for you.
Budget: 20000 UAH Deadline: 10 days
Hello.
You have not just a bot — this is already the beginning of a full-fledged AI assistant with memory and execution control. I understand the logic of the project and how to build it.
My experience:
— 7+ years of developing Telegram bots
— working with AI (text processing, classification, extracting structured data)
— building backend architecture for further expansion
I can implement Phase 1 as a stable MVP that already provides value, while simultaneously laying the foundation for the next stages.
I am ready to discuss the details and propose a specific technical plan before starting.
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Budget: 12000 UAH Deadline: 10 days
Hello! I have reviewed the task.
I can help with the implementation of the first phase based on a Telegram bot, n8n/Make, and an AI model for processing text and voice. It is better to build the logic modularly from the start: separately for receiving messages, transcribing voice, AI analysis of tasks, a database for storing context, reminders, and daily reports. This will allow for the future addition of call analysis, files, correspondence, and team access without chaotic "re-sewing of the Frankenstein bot."
I can send cases in private. An exact estimate can be given after clarifying where exactly to store tasks and contexts: Google Sheets, Airtable, Notion, CRM, or a separate database.
Deadline: 10–14 days for the first working version.
Cost: starting from 12,000 UAH, depending on the volume of logic, the number of scenarios, databases, and requirements for the assistant's "memory."
I would be happy to help with the project.
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Budget: 10000 UAH Deadline: 3 days
Good day. I am ready to complete your order. Development of Telegram bots with backend is my main focus.
Budget: 8000 UAH Deadline: 7 days
Hello! I will develop a scalable AI assistant in Telegram that will not only process messages and voice but also manage tasks, reminders, commitments, and daily reporting. I will design the architecture with future expansion in mind: call analysis, correspondence, files, and team access. I have extensive experience in creating AI solutions, Telegram bots, and integrating OpenAI for complex business scenarios.
Budget: 7000 UAH Deadline: 7 days
Hello!
My name is Nikita. I have been implementing AI solutions in paid advertising and automating marketing processes for over 2 years, working with Google Ads, Meta Ads, and TikTok Ads.
✅What you get when working with me:
— An AI-enhanced advertising strategy instead of chaotic launches
— Automation of analytics and control of project economics
— Systematic scaling based on data and AI tools
📈I work with projects of various scales and use AI for faster analysis of results, finding growth points, and optimizing advertising processes without unnecessary costs.
I am ready to discuss your tasks and offer a practical plan for implementing AI in your project's advertising.
Budget: 12000 UAH Deadline: 7 days
Hello!
I specialize in automating business processes and implementing AI agents. I work with n8n, Python, CRM systems, API integrations, and LLM (OpenAI, etc.). I help reduce routine tasks, optimize processes, and increase efficiency.
I am ready to quickly and efficiently complete your task. Let's discuss the details!
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Budget: 10000 UAH Deadline: 5 days
Hello!
I am closing all 5 points of Phase 1:
— Telegram Bot API: text + voice (Whisper) + menu / buttons
— LLM-task extractor, deadlines, responsible persons
— Two-way promise tracker with reminders
— Morning report: open / overdue / pending + AI tip of the day
— Memory layer about people, loaded upon mention
I am immediately laying the architecture for Phase 2 — clear boundaries between layers, so call analysis, correspondence, file search, and team access are added as integrators, without rewriting the core.
I have gathered similar components in projects (voice → LLM parsing → CRM). Stack: Python, self-hosted VPS, Claude / GPT / Gemini. Claude Code — daily.
I am waiting in PM — I will show the architecture in more detail.
Budget: 4000 UAH Deadline: 3 days
Good day!
I have reviewed your project — it is a very interesting and promising direction. You are approaching the task correctly as creating a full-fledged AI assistant with result control, rather than just a chat-bot.
I have experience in developing Telegram bots, integrating AI, and building systems with task logic, states, and process automation.
I can implement Phase 1 with consideration for further scaling:
A Telegram bot as a single point of entry (a convenient interface through buttons and menus)
Processing text and voice messages
Transcribing voice → converting to tasks
AI analysis to determine deadlines, responsible parties, and the essence of tasks
A task and "promise" tracking system (who owes whom what / promised)
Automatic reminders and control of overdue tasks
Daily reports with prioritization ("what to do today")
Context preservation regarding people (interaction history, agreements, statuses)
🔧 I will immediately lay the architecture for scaling:
Modular structure (AI, tasks, memory, integrations)
Possibility of connecting call analysis, correspondence, and file analysis in subsequent stages
Flexible database for working with context and history
I work with Python (aiogram), AI APIs, and context preservation systems.
Budget: 10000 UAH Deadline: 10 days
Good day. I have worked on several very similar systems where the AI assistant not only responds but also manages tasks and brings them to completion. One example is a Telegram assistant for operational management:
- accepts voice and text messages
- transcribes voice and automatically highlights tasks, deadlines, and responsible persons
- records "I promised / I was promised" and monitors overdue tasks
- sends a daily morning digest with priorities
- retains context about people (agreements, status, expectations)
I designed the architecture to be modular, so that later we can connect: call analysis, correspondence, file search, and team access — that is, exactly the scaling scenario you describe.
I can implement Phase 1:
- Telegram as a single point of entry
- voice → tasks
- promise tracker
- daily reports
- memory about people and contexts
I will also propose a data structure and architecture to smoothly transition to the next phases.
Budget: 7500 UAH Deadline: 10 days
I propose to create your personal AI assistant in Telegram with a system architecture that not only responds but also manages tasks until completion. I will implement a full cycle: receiving voice and text messages, voice notes → tasks with transcription and automatic deadline highlighting, a promise tracker (I promised/I was promised) with overdue control and reminders, daily morning reports with open, overdue, and expected tasks, as well as contextual memory about people with a history of agreements. The architecture is initially extensible — later, it will be easy to add call analysis, correspondence, file search, and team access. I will use my experience in Telegram bots and AI systems (KasAgent) to create a reliable solution.
Budget: 5000 UAH Deadline: 1 day
Good day. I am ready to complete this project as I have extensive experience in application development.
Budget: 10000 UAH Deadline: 5 days
Hello! The idea is cool — we need not a chat-bot, but a proactive agent that really brings matters to a result. Ready to take Phase 1 and lay the architecture that will scale.
Technical vision (briefly):
• Telegram bot: aiogram/fastapi, queues (Redis), support for voice/text, intuitive menu.
• Voice → Task: Whisper (locally/API) → LLM for extraction (task/deadline/responsible) → validation → storage.
• Promise tracker: a separate entity Promise with fields type: I_promised / They_promised, statuses, reminders.
• Daily report: cron + generation through LLM (context + priorities) → structured post in Telegram in the morning.
• Context memory: vector DB (ChromaDB/FAISS) + metadata on people/projects → quick retrieval upon mention.
Architecture "for growth":
Microservice-based, with clear interfaces: input_layer (TG) → core_logic (NLU, task_engine, memory) → storage (PostgreSQL + VectorDB) → output_layer (TG, future channels). New modules (call analysis, file search) connect as plugins.
Budget: 5000 UAH Deadline: 3 days
Hello!
I develop bots for Telegram using NodeJS. I am ready to take on the task. Write to me, we will discuss.
Budget: 20000 UAH Deadline: 7 days
Good day! We have reviewed your project and are ready to implement an AI assistant focused not only on responses but also on task control, processes, and bringing matters to completion. We have experience in creating Telegram bots, AI solutions, and backend systems for business automation.
We propose to implement the first phase of the product:
• A Telegram bot as a single entry point with a menu, buttons, text, and voice messages
• Voice notes → transcription, task detection, deadlines, responsible parties
• Task and promise tracker with reminders and overdue task control
• Daily morning reports in Telegram with priorities for the day
• Memory about people and context: agreements, statuses, communication history
• A ready architecture for scaling the next phases of the product
Recommended stack:
• Backend: Python (FastAPI)
• Telegram Bot API / aiogram
• AI: OpenAI / Whisper / LLM integrations
• Database: PostgreSQL
• Queues / tasks: Redis + Celery
• Control panel: React / Next.js
We can also implement analytics, access roles, integrations with CRM and file services in the next stages. We are ready to discuss the architecture and start quickly.
Our website: https://benefit-it.net/?lang=en
Best regards, Benefit Studio
Budget: 8000 UAH Deadline: 3 days
Hello, the task is quite trivial, I will do it for you without problems.
My GitHub: https://github.com/onyx144
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Budget: 24000 UAH Deadline: 21 days
Hello! The task is clear — an AI assistant with long-term memory, task tracker, and extensible architecture.
Stack: Python, Telegram Bot API, Whisper (transcription), GPT-4o, PostgreSQL (tasks/reminders), vector database for memory about people and contexts.
Phase 1 in 2-3 weeks: bot, transcription, task detection, tracker, reminders, daily report, memory about people.
A few clarifications:
1. Is the bot only for you or is team access planned?
2. Is there already a server or does it need to be deployed?
3. What is the estimated budget for Phase 1?
After the answers, I will specify the exact deadlines and cost.
Igor S.
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Budget: 27000 UAH Deadline: 10 days
Ernest, having studied the technical specifications — the task is clear, and this is definitely my stack.
I will implement a Telegram bot on aiogram 3.x with FSM architecture: receiving text and voice, navigation through inline buttons and /menu. I will transcribe voice notes using the Whisper API, after which LLM parsing will automatically extract tasks, deadlines, and responsible persons — without manual input. The tracker "I promised / I was promised" will be stored in PostgreSQL with categorization by status and deadline; APScheduler will send reminders and escalate overdue items in a separate message. Every morning — an automatic digest in Telegram: open tasks, overdue ones, waiting for others, and a prompt "what to do today." I will implement memory for people as a separate entity table: each mention of a person is linked to a profile with context, agreements, and current status. The architecture will be modular — so that Phase 2 (call analysis, file search, team access) can be added without rewriting the core.
One clarification: reminders for tasks — only for you or also for external contacts (responsible persons)? This affects the sending logic.
Price — 25,000 UAH, deadline — 7 days.
Budget: 1111 UAH Deadline: 14 days
Development of a Telegram bot for receiving text and voice messages with task control functionality. Implementation of voice note transcription, automatic detection of tasks and deadlines, integration of a task tracker and overdue promises, daily report via Telegram based on the entered data. Providing an extensible architecture for further scaling of the project.
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Budget: 27000 UAH Deadline: 25 days
Are you currently using any task tracker (Notion/Jira) and in what language will the voice notes be? This will help plan the rules for recognizing responsible parties and deadlines, as well as the format of the daily report.
We have experience creating Telegram bots with Python (FastAPI/Flask), transcription (Whisper), NLP extraction of tasks/deadlines/responsible parties, reminders, and daily digests. We will build a modular architecture with Postgres/Redis and separate memory services for contacts — ready for integrating call analysis, correspondence, file search, and team permissions.
We are ready to quickly assemble the MVP Phase 1 and agree on the scaling roadmap. Write to arrange a short call — we are starting this week.
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