Budget: 670 USD Deadline: 6 days

Good day, Ksenia
I have 10 years of experience in development, working with the tech stack on React Native (+TypeScript), React.js (Next/SSR +TypeScript), backend Node.js (Express/Nest) + MongoDB, Firebase + TS.
For the MVP, it makes sense to start with a Telegram bot, user profile, contact database, generation of personalized emails, email sending, processing incoming responses, and CRM statuses of applications.
Is there already a contact database for the first version, or should we plan for its collection/import within the MVP?

Feel free to write, I would be happy to collaborate.
Best regards, Oleksiy

Budget: 670 USD Deadline: 5 days

Good day, I am interested in your project, ready to close it, I have extensive experience!

I would like to discuss the details, respectfully!
Freelancehunt

Budget: 670 USD Deadline: 15 days

I will do it in about 2 weeks. The budget is reasonable. Contact me, I will work on your project. I am waiting for your response.

Budget: 670 USD Deadline: 8 days

I would consider 670 USD as the first stage - designing the MVP, data schema, AI assistant logic, prototype of the Telegram bot, and email processing scenarios. The full development of such a product will be more expensive because it's not just a bot, but a SaaS logic, email, CRM, sending queues, anti-spam restrictions, and quality control of AI responses =/

For implementation, I would start with a narrow but functional MVP - user profile, contact database, generation of personalized emails, sending through an email provider, collecting responses, parsing incoming AI, and application statuses. Mass mailings should be done carefully - limits, warming up the domain, templates, unsubscribes, action logs. Otherwise, you can quickly end up with not a product, but a beautiful machine for landing in spam - there's a nuance...

We have relevant experience with AI agents and automation - https://business.ingello.com/vorfahr - similar in logic to an autonomous assistant and action automation. Another example - https://business.ingello.com/fractal - about agent processes and complex automation. The main page for system development - https://systems-fl.ingello.com

I would clarify 2 points to avoid guessing. Is automatic sending from the user's email necessary in the MVP, or is sending through one connected mailing service sufficient? And should the assistant search for the brand and casting database on the internet itself, or in the first version do we use a prepared contact database?

Budget: 670 USD Deadline: 21 days

In such a project, everything hinges on the deliverability of cold emails. Without warming up the domain (at least 3 weeks, starting with 5 emails/day), everything ends up in spam. Gmail, Yahoo, and Microsoft require SPF/DKIM/DMARC; without them, emails are blocked before being read. Tracking opens through pixels also harms deliverability, as spam filters detect them, so cold emails are sent in plain text without tracking.

A Telegram bot on aiogram, Claude API for personalization and processing incoming messages. Parsing platforms through Playwright; regular HTTP scraping on modern sites yields 5-10% success due to anti-bot protections. Sending emails through warmed-up SMTP accounts with domain rotation.

For the MVP, it is necessary to identify 2-3 priority platforms for parsing, with a separate adapter written for each. Which ones do you plan to start with?

Budget: 670 USD Deadline: 14 days

Good day. Automation of mailings with AI that conducts initial correspondence on its own is exactly my topic; I have gathered similar connections in Python (collecting contacts + GPT responds until there is genuine interest). One question in essence: are the applications coming through email/forms on websites or through specific platforms like Instagram DM and casting services? This will determine where the main bottleneck with limits and anti-spam will be. I will draft a scheme once we decide on the channels.

Budget: 670 USD Deadline: 7 days

Hello.

I am doing something similar, but for my niche.
Portfolio like RAG, AI-generated CVs, cover letters, mailings. A full-fledged multi-agent pipeline in general.
By the way, I have experience in email mailings and setting up smtp, pop3, imap for a marketing campaign.
I can build an MVP as you described in your specifications, especially since everything is explained more than clearly.

I also have experience with Telegram bots - no problem.

Tell me, do you consider contact collection as a full-fledged separate service that will act like a robot to go through your sources, or just as an upload from a table (any other format)? In the same marketing campaign, I did a database crawl of domain names in the CIS, so I have experience in this area as well, if something serious is needed.

Write to me, I would be happy to discuss your project and start working on it. Expand

Budget: 1000 USD Deadline: 10 days

Hi Kseniia,
I'm Hiroshi Funaoka, a developer based in Japan who builds AI powered backend systems and bots.
A creator's assistant sends fifty personalized applications overnight, and by morning half of them are sitting unread in spam folders, because the emails went out from a fresh domain with no authentication and no sending pattern a mail provider would trust, so the AI wrote a great letter that nobody ever saw.
I understand the real product here is not the writing itself, it is a reliable pipeline that gets a human's portfolio in front of a real person and keeps the conversation moving without the creator checking dozens of inboxes.
What I would build for the MVP is the Telegram bot as the main interface, a one time profile intake, a contact database in Postgres tracking every application through its status from sent to interview to rejection, AI generated and personalized letters through an LLM, automatic sending, and AI classification of incoming replies so standard questions get answered and anything real gets flagged to the user.
There is a point worth deciding before the first email goes out.
Deliverability is the real bottleneck, not writing quality, so proper sender authentication, a warm up period for a new sending domain, and a sending rate that respects each platform's own limits all need to be built in from day one, or the AI will keep writing excellent letters that land in spam and the user will think the assistant is failing when the real cause is infrastructure.
Finding vacancies, emails and submission forms across many different sites also means each source needs its own scraping logic rather than one generic crawler, so I would start with two or three of your highest priority directions for the MVP and expand from there.
I build with Claude, Gemini and OpenAI APIs in production, including Telegram and WhatsApp bot integrations and workflow automation with n8n and Make.
I hope we can talk here about the details of the project, and one question would help scope the MVP tightly.
Which two or three directions, brands, UGC or castings for example, matter most for the first version, since that decides which sources I scrape and integrate first.
An assistant that sends applications nobody reads is worse than no assistant at all, and building the delivery side right is what makes the AI side actually worth having. Expand

Budget: 2000 USD Deadline: 30 days

Hello, Ksenia.

I am currently developing a similar project for outreach and can adapt it to your specifications.

Budget: 670 USD Deadline: 7 days

Hello, I worked on AI Talent Scout — the system automatically found job vacancies and sent personalized applications for 200+ creators, reducing search time by 85%.

I’m curious to know: how do you plan to address bypassing spam filters during mass email distribution, as this is critical for application delivery?

I suggest we get in touch; I will provide you with free technical consultation and we can outline a development plan + I will tell you about my team!

Budget: 2850 USD Deadline: 90 days

Hello. I can develop an MVP AI Talent Assistant in the format of a Telegram bot with a user profile, contact database, personalized email generation, mass email distribution, processing incoming responses, and AI analysis of correspondence. The architecture can be designed with the possibility of further integration with Gmail, Outlook, CRM, and other channels. Please advise:
1. Where should the system source contacts and job vacancies in the MVP: from a ready-made database, a manually uploaded list, or should it search independently on the internet?
2. Which email service is planned for sending emails: Gmail, Outlook, SMTP, or a separate mailing service?
3. Is fully automated sending and responses needed, or should each email be approved by the user first?
4. How many applications should one user send per day?
5. Is a separate web cabinet and CRM needed at the first stage, or is a Telegram bot and database sufficient?
6. Which languages should be supported for email generation and response analysis?

Budget: 1000 USD Deadline: 21 days

Hello!

We are the digital IT company Spectrium LLP (United Kingdom). We specialize in branding, AI, UI/UX design, and comprehensive web development for clients worldwide. Our portfolio includes architecturally complex B2B marketplaces, automation platforms, and intelligent systems with deep state logic.

We have reviewed your detailed technical assignment for the development of the AI Talent Assistant. The project is extremely interesting and relevant, and our team is fully prepared to implement the MVP version turnkey. We have significant experience in developing Telegram bots with AI agent integration (LLM), building custom CRM systems for tracking statuses, as well as integrating with email services (Gmail/Outlook API) for automatic parsing and analysis of incoming messages. We clearly understand how to build the MVP architecture based on Node.js or Python so that the bot correctly works with uploaded media files, generates unique cover letters for each vacancy, and timely sends follow-up notifications.

Examples of our implemented solutions, AI integrations, and complex systems will be sent in personal messages.

Important: The final cost of the project and exact development deadlines are always discussed and agreed upon with you after a joint analysis of the MVP architecture to fully align with your business goals.

We would be happy to communicate in personal messages or have a short call to discuss the details! Expand

Budget: 670 USD Deadline: 16 days

We will build a high-velocity AI-driven Talent Assistant tailored for your MVP requirements. We'll engineer this system using Python (Aiogram for a seamless Telegram interface) integrated with OpenAI API (GPT-4o/GPT-4o-mini) for deep contextual understanding of incoming emails and personalized outbound outreach generation.

Hi Kseniia! I'm Nina, the manager of Valflow IT agency. High-performance automation scripts, AI-agents, and smart Telegram bots are built by Valentin, our Senior Backend & AI Engineer. We completely understand your flow and have extensive experience building structured LLM-pipelines and automated workflows.

Our Technical Roadmap for your MVP:
1. Unified Telegram Interface: The bot will handle one-time user profiling (storing MediaKit links, pricing, CV, and preferences in a secure PostgreSQL/Supabase database). Users will control everything via clear custom menus or natural language commands.
2. Deliverability-First Email Automation: To prevent cold emails from hitting the spam folder, we will set up and integrate the infrastructure via Resend or Mailgun API (with proper SPF/DKIM/DMARC routing) instead of raw SMTP.
3. Inbound Email Tracking & AI Analysis: We'll configure Webhooks to catch incoming replies from brands directly. Valentin will implement an LLM-parser that automatically updates the CRM status (e.g., "Reply Received", "Action Needed"), extracts specific questions (rates, availability), and pre-generates a personalized response draft for the user.
4. Auto Follow-up Engine: A background worker (Celery/Cron) will automatically track unreplied emails and trigger a customized follow-up sequence after 5–7 days.

Timeline & Budget:
Since this is an explicitly targeted MVP focused on a Telegram bot frontend, email tracking, and AI parsing:
— Budget: $670 (Secure Escrow Milestone workflow)
— Timeline: 14–18 days

We are ready to start mapping out the DB schema and OpenAI prompt architecture this week. Let's connect in the chat to clarify the baseline contact database format and kick this off! Expand

Budget: 670 USD Deadline: 10 days

Good day, the project is good, I have extensive experience in developing commercial Telegram bots in Python and JS, integrating with databases and deep integration of the OpenAI API. For the MVP, I suggest launching a bot with a convenient WebApp interface featuring a beautiful personal account for uploading media kits, portfolios, and tracking application statuses (CRM within the bot).

I would be happy to discuss the details)

Budget: 670 USD Deadline: 14 days

Hello. For the specified budget, I propose to build Phase 1 AI Talent Assistant with secure submission control: talent profile and goals, Telegram interface, import of an agreed contact database, generation of personalized emails, manual confirmation before sending, sending through one email provider, receiving responses, statuses, and a basic action log. The 670 USD does not include bypassing LinkedIn/Instagram restrictions, mass unauthorized data collection, and fully autonomous mailing without control — this creates risks of blocking and spam. The MVP deadline is 14 days. To start, we need communication templates, approved sources of contacts, an email provider, and criteria for qualified responses.

Budget: 670 USD Deadline: 7 days

Good day. I have experience in developing this assistant. Assistants have also been created for businesses, especially for e-commerce.

Budget: 670 USD Deadline: 10 days

Hello!

I have extensive experience in developing AI agents.
I am ready to complete the assigned task.

I suggest we discuss the details in private messages.

Budget: 670 USD Deadline: 14 days

Good day.

Your description resembles not a Telegram bot, but a full-fledged AI agent with CRM, email automation, and communication management. Implementing all the functionality within this budget is impossible, but creating a strong MVP is quite feasible without the need to redesign the architecture in the future.

I suggest starting with the MVP, which will include a Telegram bot, one-time profile filling, a contact database, AI personalization of emails, mass email distribution, response collection, AI classification of incoming messages, application statuses, and user notifications if their participation is required.

Special attention should be paid to email delivery. For such systems, the domain reputation, SPF, DKIM, and DMARC settings, sending limits, and warming up mailboxes often determine the success of the project. Without this, even well-written emails may not reach the recipients.

It is also important to consider that automatic job and contact searches for various platforms require separate integrations. Therefore, it makes sense to initially implement support for one or two priority sources, and after testing the MVP, gradually expand the system.

I can prepare an architecture scheme for the MVP for free or implement a demonstration scenario for generating and sending one personalized email so that you can evaluate the implementation approach before the main development begins.

I would like to clarify two points.

Should the email sending in the first version be done through the user's mailbox or through a separate mailing service?

And which sources should be prioritized first, brands, castings, or modeling agencies?

I consider the budget of 670 USD as the cost for the first stage of creating a working MVP, which will serve as the foundation for further scaling of the system. Expand

Budget: 1234 USD Deadline: 1 day

Hello! I have experience in developing AI assistants and automating mailing/correspondence. I would be happy to help you!

Budget: 670 USD Deadline: 10 days

I understood the idea: an AI assistant that independently finds job vacancies or castings based on the user's profile, personalizes and sends applications, manages correspondence, and collects statuses in one place with CRM logic on top.

This is essentially a full-fledged product — job search, email automation, AI dialogue, CRM, Telegram interface. For $670, it's honestly unrealistic to deliver this volume; I suggest breaking it down into stages so that the budget and results are proportional.

The first stage: one search direction (for example, email applications by brands), user profile as a data structure, an LLM module that generates a personalized letter for a specific vacancy based on the uploaded portfolio, sending via email API, and collecting responses in a simple CRM table with statuses. This is already a working MVP that demonstrates the approach and can be used to check the economics — how many applications are realistically sent per day, what the response rate is.

Next, based on the metrics from the first stage, we expand: other channels (Telegram, Instagram), AI analysis of incoming responses, automatic follow-ups. The stack — Python, LLM with function calling for parsing vacancies and generating letters, simple database for CRM statuses. For the payment format, I prefer a fixed fee per stage, not hourly — I will send an estimate for the chosen direction upon first contact.

Which direction is a priority for the first stage — email for brands and agencies or castings? This is where we should start discussing the scope.

Budget: 670 USD Deadline: 14 days

We already have a nearly ready solution with an AI assistant, applications, email, and statuses; it can be quickly adapted for a talent assistant and launch the first working module.

With a budget of 670 USD, I would suggest not trying to create the entire large platform at once, but rather to assemble an MVP on a Telegram bot and email automation!

- User profile once
- Database of contacts and directions
- Generation of personal emails
- Mass email sending
- Collection of responses in one place
- AI analysis of incoming messages
- Application statuses and reminders for the user

For the full version, of course, there is more work - personal account, roles, analytics, integrations with Gmail, Outlook, Instagram, LinkedIn, anti-spam logic, mailing queues, data security, and a proper CRM architecture.

Look, there’s a nuance - it’s important not just to send emails, but to build the system so that domains do not end up in spam, responses are not lost, and AI does not write unnecessary messages on behalf of the user.

I would like to clarify two points:
- Sending should be done from the user's email or from a separate service domain.
- The MVP needs only a manual contact database, or is brand and casting search through websites needed at the first stage?

Similar cases:
- https://business.ingello.com/vorfahr - AI and process automation, close in logic to the assistant and task processing.
- https://business.ingello.com/fractal - agency architecture and automation of work processes.
- https://business.ingello.com/forma-crm - CRM logic, statuses, applications, and a managed funnel.

The main page for such projects is - https://systems-fl.ingello.com.

We can start with a compact MVP to get a working scenario in 10-14 days and already test it on real applications.

I am available; we can discuss the details right here. Expand

Budget: 720 USD Deadline: 8 days

Hello! I have previously developed similar AI outreach systems where AI agents independently analyzed profiles, created personalized emails, and classified incoming responses.

For the implementation of this project, Hermes 3 is truly the best option. It is perfectly suited for developing autonomous agents (Agentic Workflows), has no strict censorship filters (writes lively, creative emails rather than dry AI text), and operates at a significantly lower cost through fast API providers, which substantially reduces the costs of maintaining the MVP.

Since the task is clearly limited to the framework of the first version (working with a ready-made contact database and mass email distribution via Telegram), we can optimize the architecture and reduce development costs.

Technical approach to MVP
Telegram interface: The bot accepts a profile (text, media kit, photo, CV) and saves it in PostgreSQL.

AI distribution (Hermes 3): The bot takes contacts from the database, analyzes the direction, adapts the tone to the niche, and automatically sends each email through the integrated SMTP/Mailgun gateway.

Response processing: The system monitors the email via IMAP. Hermes analyzes incoming messages: if it’s a rejection — it changes the status in the database, if it’s a hot lead or a request for additional photos — it instantly forwards a notification to the user in Telegram with action buttons.

Development stages and optimized cost
Stage 1: User Profile and Contact Database (3 days) — Data collection in the Telegram bot, database architecture, loading your initial contact database.

Stage 2: AI generation and Email distribution on Hermes 3 (3 days) — Setting up the logic for adapting emails to brands/castings, mass automatic sending.

Stage 3: Parsing responses and Notifications (2 days) — Reading emails, AI analysis of intentions, notifying the user about important messages.

Total duration: 8 days Expand

Budget: 670 USD Deadline: 1 day

Good day! 🧡
I am ready to start working and would be happy to help with minimal deadlines 😉
I have experience working on similar projects. 🌼 (I have reviews on this topic and work in my portfolio)
I will do it in the best way possible and will start right now! 🚀🛸✈️

Feel free to write, and we will discuss. I respond instantly!

Budget: 670 USD Deadline: 14 days

Hello, Ksenia! I carefully read the description of the AI Talent Assistant. I suggest starting with the MVP: a dashboard with one-time profile completion (media kit, portfolio, pricing), a contact database by categories, AI sending personalized applications, and automatic initial correspondence until an offer is received - then the dialogue is handed over to the user. Stack: Python/Node.js + OpenAI/Anthropic API, email integration. In 2 weeks, I will show a working prototype of the main scenario.

Budget: 670 USD Deadline: 14 days

We have experience in developing AI agents for automating communications and data parsing. We implement the solution through the integration of LLM with the APIs of job search platforms and the automation of sending personalized responses. This will allow you to focus on the final stages of negotiations while the system handles initial correspondence. We are ready to start on the architecture of the solution.

Budget: 670 USD Deadline: 19 days

Good day. I have carefully reviewed the task. This is not just a Telegram bot for text generation, but a full-fledged automation system for searching, submitting applications, processing responses, and managing CRM.

For the MVP, I propose to divide the system into separate modules:

— Telegram bot for registration, profile management, and receiving notifications;
— secure storage for portfolio, CV, photos, videos, and contact information;
— job and contact database with filtering by field, country, and requirements;
— AI module for job analysis, candidate matching, and email personalization;
— email sending service with attachments, frequency limitations, and delivery logs;
— receiving incoming emails via Gmail API or a separate mailbox;
— classification of responses: request for information, rejection, interview, offer, or user action required;
— CRM with application statuses, correspondence history, statistics, and automatic follow-ups;
— background tasks for searching new offers, newsletters, and reminders.

Technically, the system can be implemented on ASP.NET Core, PostgreSQL, Telegram Bot API, Gmail API, AI API, and background tasks with Hangfire. Deployment will be in Docker with the possibility of further scaling.

It is also necessary to consider anti-spam restrictions, domain email reputation, OAuth authorization, rules for using job sources, and user control over automatic responses. I recommend initially implementing a controlled MVP on one email service and a database of verified contacts, and after testing, connecting automatic search, Outlook, LinkedIn, and other channels.

I am ready to design the architecture, database structure, Telegram bot scenarios in detail, and sequentially implement the first working version. Expand

Budget: 1800 USD Deadline: 21 days

Hello! The AI Talent Assistant project is a great and commercially promising idea. Automating outreach, personalizing emails through LLM, and aggregating responses into a single inbox is a strong case.

For the MVP implementation, I propose a quick and fault-tolerant stack: Python (FastAPI + aiogram 3.x), PostgreSQL + Redis, as well as the Anthropic API (Claude 3.5) for email analysis.

Why my architecture will perfectly address the MVP tasks:

* Email tracking: We will integrate email APIs (Resend / Mailgun) and set up inbound webhook processing to instantly catch brand responses and relay them to the bot.
* Intelligent AI agent: Through Tool Calling, Claude will receive profile data and job description text, adapt the tone, highlight relevant cases, and form the pitch.
* Interface in Telegram: The bot will support text commands, and for a convenient CRM dashboard and media kit upload, we will embed a beautiful Telegram Mini App on Next.js.
* Automatic Follow-ups: The system will track the application status and automatically send a follow-up email after 5–7 days if the brand has not responded.

Commercial terms for the MVP:

* Development cost: $1,800 USD (backend, email integration, and Claude API, Telegram bot + Mini App for the dashboard).
* Implementation timeline: 4 weeks.
* What’s included: A fully finished product, Docker architecture for easy deployment on an Ubuntu server, security setup, and a video tutorial.

You can check the quality of my engineering on my website: [https://mcarrow.online](https://www.google.com/search?q=https://mcarrow.online)

Let’s move to private messages to discuss which email services or contact databases we will use at the start!

Best regards,

Sergey Makarov Expand

Budget: 700 USD Deadline: 15 days

Hello!

Interesting task, I have experience in implementing similar ones, for example:
1. Creating an automatic workflow between a custom CRM website, email, and delivery services.
2. A Telegram bot for analyzing news based on certain metrics.

I suggest we discuss the details (one of which is - it is very important to choose the right LLM for analyzing the appropriate proposal and to create detailed instructions for each case and how to act in non-standard situations, etc.).

Feel free to reach out, I would be happy to collaborate!)

Budget: 3000 USD Deadline: 30 days

Hello! I have extensive experience in full-stack development and creating autonomous AI agents using modern LLM APIs, so I can easily implement this project. I suggest starting with a reliable MVP based on Telegram to quickly test the key mechanics of automated messaging and incoming message analysis. This will allow your clients to immediately gain practical benefits even before we smoothly scale the architecture to support multiple platforms, complex data parsing, and a full-fledged CRM system. I am ready to discuss the technical details and help bring this assistant to life.

Budget: 5000 USD Deadline: 40 days

Good day!
Ready to create an MVP Telegram bot + AI logic + parsing.

Our vision for the MVP in 1.5–2 months:
Stack - Python (FastAPI) + OpenAI API + Telegram Bot API + PostgreSQL.
AI brain - We will set up the context for each creator. The AI will adapt emails to job postings, analyze responses, and send standard follow-ups.
Parsing and Email - We will implement the collection of incoming emails via IMAP/SMTP into a single database and integration with the bot.

MVP budget $4,500 – $6,000 (development + testing). Payment will be phased.

We have an experienced team and guarantee clean code.
Ready to discuss the details? Expand

Budget: 670 USD Deadline: 14 days

A mobile AI assistant is needed that independently searches for job vacancies, sends personalized applications, and conducts correspondence on behalf of creators and models.

Architecture: React Native (iOS + Android from a single codebase) + Node.js backend. User profiles and media materials are stored once. The AI layer on GPT-4o: analyzes the job vacancy, generates a letter for a specific brand, determines the tone. Auto-search through web scraping + email finder (Hunter.io / Apollo). Sending via SMTP with a single inbox for collecting responses. CRM statuses and dashboard in the personal account.

Key risk: mass mailing through one domain quickly ends up in spam. Solution — rotation of sending domains and warming up inboxes from day one.

How many users are planned at the start, and is an MVP needed only for iOS or immediately cross-platform?

Budget: 670 USD Deadline: 20 days

Ksenia, you need automation of routine client searches so that instead of mass mailings, you can focus on creativity. The essence of the task is to create an agent that personalizes outreach and maintains dialogue until a real request for collaboration arises. To implement such a scenario, I will focus on integrating APIs with existing job databases and setting up logic that excludes template responses. What specific sources of contacts or platforms do you plan to connect first for testing the mailing mechanics?

Budget: 670 USD Deadline: 21 days

Hello! The project is interesting; I am ready to develop an MVP AI assistant with a Telegram bot, a profile database, email generation and sending, processing incoming responses, and AI analysis of correspondence. A well-thought-out foundation will allow for easy addition of CRM, new communication channels, and automation of job search in the future. I suggest we discuss the details of the MVP, after which I will be able to assess the timeline and cost.