Hello.

I can help with the development of a WhatsApp Business AI agent for receiving requests, clarifying order details, and passing structured requests to the manager.

I have experience in building AI-assisted workflows, automating processes, working with AI logic, content scenarios, and integrations. In your project, it is important to properly establish not just a chatbot, but a controlled process: collecting requests, verifying data against the product database, confirming with the client, passing to the manager, and handling non-standard situations.

Before providing an accurate estimate, I need to clarify:

— Is there already a connected WhatsApp Business API;
… — What product database is currently being used;
— Where should requests be sent: Telegram, Google Sheets, CRM, or WhatsApp;
— How many main scenarios need to be implemented in the MVP;
— Are templates needed for the first message to the client;
— Who pays for the API and technical infrastructure.

I am ready to discuss the details and propose a phased implementation of the MVP without unnecessary complications at the start.

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Hello.

I have fully studied the technical specifications. The project is clear and well-structured.

I specialize in automation development, Telegram bots, CRM integration, AI services, and working with APIs. I have already implemented systems using OpenAI API, WhatsApp Business API, Google Sheets, Telegram, and various CRMs.

I propose to implement a solution based on the following architecture:

WhatsApp Business API
… → Backend (Python/FastAPI)
→ AI agent (OpenAI)
→ Google Sheets (products, requests, clients)
→ Telegram notifications to managers

What will be implemented:

✔ AI dialogue with the client and request collection;
✔ data verification before sending to the manager;
✔ saving requests and clients in Google Sheets;
✔ sending the completed request to Telegram;
✔ support for WhatsApp Business templates for the first message;
✔ handling complex requests with escalation to the manager;
✔ protection against AI "hallucinations" through working with the product database;
✔ provision of source code and deployment instructions.

I immediately noticed an important point in the specifications: the agent should not independently come up with prices, discounts, and stock levels. I will implement the logic to obtain data exclusively from the product database with automatic escalation of non-standard questions to the manager.

I am ready to start immediately after discussing the implementation details and the method of connecting to the WhatsApp Business API.

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Hi there,

I have carefully reviewed your structured specification for the WhatsApp Business AI Agent. This is a highly clear and well-thought-out workflow, and I can build this exact MVP for you.

Here is how I will implement your preferred scheme and handle the critical technical requirements:

System Architecture: I will build a lightweight, fast backend (using Python/FastAPI or Node.js) to host the webhook listener for the WhatsApp Cloud API, process messages via the OpenAI API, and distribute data seamlessly to Google Sheets and your Telegram manager group.

Preventing AI Hallucinations: To guarantee the AI never invents prices, discounts, or stock levels, I will use OpenAI's Function Calling feature. The agent will strictly query your Google Sheets product database for information. If a product is missing, or if the client asks for discounts, wholesale conditions, or complex terms, the backend will immediately flag the request status and forward the conversation to your Telegram manager group.
…
Outbound Templates & Opt-Out: I will implement the endpoints to initiate contact using your approved official Meta templates for the specified scenarios (website leads, repeat orders, etc.). To ensure strict compliance, the system will track user consent in the Google Sheets client database. If a user replies with "Stop" or clicks an opt-out quick reply button, the system will immediately update their status to prohibited and block further automated template actions.

Dialog Flow & Handoff: The backend will manage the session state to track the collection of the 9 required fields (Name, Phone, City, Address, Product, Volume, Quantity, Receipt Method, Comment). The agent will generate a clean summary for user confirmation before pushing the finalized structured request to the managers and updating the Google Sheets ledger.

I will deliver a fully working bot, well-structured source code, complete deployment documentation, and a clear user manual exactly as requested.

I am ready to start right away and look forward to discussing the project timelines with you!

I see that you need not just a "chatbot," but a full-fledged AI agent that can accurately collect requests, avoid fabricating product data, and timely pass complex cases to a manager. This is precisely the part where not only AI logic is important, but also the correct architecture of integrations.

I have already implemented AI consultants and automated funnels with Chatfuel, Voiceflow, Make.com, and CRM integrations, where AI qualified leads, collected data, and launched further scenarios without the involvement of managers. I also have experience building end-to-end automation flows with Google Sheets, Telegram notifications, and AI processing of requests.

For your MVP, I would suggest the following structure:
WhatsApp Business API → Backend → AI agent → Google Sheets/CRM → Telegram for managers, with separate logic for fallback, order confirmation, and protection against errors/hallucinations of AI.

I particularly like that you consider opt-in/opt-out and Meta templates — this is critical for the stable operation of WhatsApp Business.

… I am ready to join the project, think through the architecture, and build the first working version with further scaling for CRM and mailings.

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Good afternoon.
I am ready to take your project into work.
I can develop such a bot for you using no-code/low-code tools.
Message me privately, and we will discuss all the details and find the best solution for you.

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Hello!

Great, detailed technical specification, the task is completely within my profile. I specialize in n8n and creating autonomous AI agents for messengers.

Your scheme with Google Sheets for the MVP and strict boundaries for the AI (to prevent it from inventing prices and stock levels) is absolutely workable. We will immediately incorporate logic into n8n so that in case of any doubt or bulk request, the bot instantly "falls asleep" and transfers the dialogue to the team in Telegram, without interrupting the manager's communication.

Could you please tell me how many product items are planned to start in the table? I want to estimate how to best structure the search for the AI so that it provides accurate data on volumes and packaging in a couple of seconds.

Best regards,
… Tatiana

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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:
— AI-enhanced advertising strategy instead of chaotic launches
— automation of analytics and project economic control
— 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.

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We already have a practically ready solution of this type - it can be quickly adapted for your WhatsApp Business, product tables, requests, and transfer to managers; we can discuss it right now, I'm available ))

Regarding the budget - 100 USD for such an MVP will likely not even cover a proper connection and scenario checks with Meta; I would budget from 1200 USD and 10-14 working days for the first stable version.

Look, there’s a nuance here - the main thing is not just to connect AI, but to create a managed agent that does not invent prices, stock levels, and discounts, but takes data from the product table, collects the request step by step, shows the total to the client, and only after confirmation sends it to the manager.

> What I would do in the first version
> WhatsApp Business API through official Meta templates
> AI agent for short dialogue and request collection
… > Google Sheets for products, clients, and requests
> Telegram notifications for managers
> consent check for messages and Stop command
> transfer to the manager in case of discounts, wholesale, documents, complex questions, or agent uncertainty

From experience, this resembles our projects on AI automation and business systems
> https://business.ingello.com/vorfahr - automation with AI and business logic
> https://business.ingello.com/fractal - agent processes and complex scenarios
> https://business.ingello.com/forma-crm - CRM and request processing within the team

The main landing page of Ingello for the exchange
> https://systems-fl.ingello.com

I will clarify 2 points to assess more accurately
> Do you already have a confirmed WhatsApp Business API and Meta Business, or does this also need to be done from scratch?
> Should requests be stored only in Google Sheets, or do you want a simple CRM with statuses, roles, and communication history?

Well, it’s more like this - we can start with a neat MVP without unnecessary heroics, and then build up statuses, analytics, repeat orders, and mailing scenarios. They are not gods who burn pots, but Meta sometimes pretends that it is =)

!!Important!! The agent for the first messages must work only through approved templates and with the client's consent, otherwise, restrictions on WhatsApp may be imposed.

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Good afternoon, I am writing on behalf of the company Devoxen. We specialize in the development of AI agents, WhatsApp Business API, and sales automation. We have extensive experience in creating AI bots with integration of OpenAI, Google Sheets, CRM, and Telegram notifications. We can implement a full-fledged WhatsApp agent with logic for collecting requests, order confirmation, transferring to managers, storing customer history, and supporting the first message through official Meta templates.

We can do this without unnecessary questions and time delays. We also provide a guarantee and support if desired. We can start working on your project immediately after discussing the technical specifications.

I suggest moving to private messages for a more detailed dialogue.

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Hello!

We are developing similar agents — WhatsApp Business API, conversational AI, application collection, transfer to the manager in Telegram and Google Sheets. The entire stack you described is familiar to us.

According to your specifications, everything can be implemented: a dialogue for data collection, client confirmation of the application before sending, transfer to the manager for complex questions or discount requests, the first outgoing message through official Meta templates with the client's consent taken into account.

The AI only works with data from your product database — it does not invent prices and stock levels, and in the absence of information, it immediately transfers to the manager.

We can discuss details and pricing in private 👋

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Good day. I am ready to complete this project and have extensive experience in developing various applications.

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$800 - 3 days! More than 500+ such cases! I don't know what else to write here.

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Hello! I can implement it. Please message me privately to discuss all the details. I would be happy to collaborate!

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Hello.

This is no longer just a chatbot, but a full-fledged AI agent with business logic, application submission, data storage, and WhatsApp Business API — and judging by the technical specifications, you understand this.

I can implement an MVP version according to your scheme:

WhatsApp Business API
→ Backend
→ AI agent
… → Google Sheets / CRM
→ Telegram for managers

What will be implemented:

• AI dialogue with the client
• collection and validation of order data
• confirmation of the application before sending
• transfer of complex requests to the manager
• integration with Google Sheets (products / clients / applications)
• Telegram notifications for managers
• logic for consent to messages + "Stop"
• WhatsApp Business templates for the first message to the client
• protection against AI "hallucinations" regarding prices and stock
• storage of application history and statuses

I would like to highlight an important point:
for the proper functioning of such an agent, it is necessary to carefully consider the state management of the dialogue and the logic of transitions; otherwise, the bot quickly starts to get confused with orders and context. I am focusing not only on "connecting the API" but on a stable architecture of the process.

At the start, I would recommend creating an MVP through Google Sheets + backend + OpenAI API, without an overloaded CRM — this will allow for a quick working system and testing of the real client flow.

After launch, the system can be scaled:
— CRM
— analytics
— repeat sales
— automatic follow-up scenarios
— AI classification of clients
— segmentation of mailings, etc.

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I read the technical specifications. The scope for a complete MVP (WhatsApp Business API + dialog agent + Sheets-CRM + mailing templates) is not a $100 project. I want to be honest so that you don't end up with an MVP "just to have one."

For $100, it makes sense to do one of the three parts as a standalone phase: (a) WhatsApp Business API setup + basic webhook receiver + one message template with consent for mailing; (b) AI-collector agent (LLM logic + state-machine for application fields) on a test channel (Telegram, then we will switch to WhatsApp); (c) Google Sheets ↔ Telegram notification pipeline for managers with confirmed applications.

The complete MVP (a+b+c, as you have in the specifications) I estimate at a broader budget, broken down into 3 phases over a week with acceptance of each phase.

Stack: Python (FastAPI) backend, OpenAI or Anthropic API for the agent (with tool-use for requests in Sheets), Google Sheets API, WhatsApp Business API via Cloud API (Meta) with templates that have passed approval.

A relevant case is a voice AI assistant for veterinary clinics on rivnі-RAG + Qdrant + tool-use orchestration + telephony. The same pattern of state-machine + LLM + external integrations, just a different channel (SIP instead of WhatsApp).
…
Which part of the scope is a priority for you — WhatsApp Business API setup, dialog logic, or Sheets pipeline? This will help understand if we can fit the start into $100 as the first phase.

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Narek, good afternoon!
The task is generally clear; I have already created such AI agents for WhatsApp/Telegram with Google Sheets integration and submission of requests to Telegram managers.

However, there are several important points regarding timelines and budget that are better to discuss right away to align expectations with reality:

1. Regarding timelines
This is not quite a "bot in 3 days" situation.
The WhatsApp Business API goes through verification via Meta Business Manager, and this usually takes from 1 to 4 weeks. Our role here is to submit and support the process.

… Also, each message template undergoes a separate review by Meta (24-72 hours). Therefore, quick timelines are only possible either with an already established infrastructure or at the expense of stability (gray APIs that often get banned later).

2. Regarding budget
A volume like this objectively does not fit within $100.
A realistic MVP of this level starts from $800. What this work includes:
- setup/help with WhatsApp Business API (if it is not already available)
- AI agent on GPT-4o (state logic and data verification)
- preparation and submission of 5-6 templates to Meta
- integration with Google Sheets (leads, products, statuses)
- Telegram notifications to managers
- consent/STOP mechanism
- handling complex cases through a human
- documentation and instructions

Timeline: about 2-3 weeks, part of which is taken up by the approval from Meta.
Is the WhatsApp Business API already connected, or does it need to be set up from scratch?
Are the data already structured in Google Sheets, or does that also need to be gathered?
One number or several for different directions?

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Welcome! We are a team of developers with 4 years of experience in process automation, and creating smart algorithms is our specialty. We will write a custom AI agent in Python that will clearly perform the assigned business tasks, analyze input data, and interact with users. We have extensive experience in bot development and data collection, so we can easily train the AI to work with your internal information and integrate it into any ecosystem. Please send us your detailed requirements for the agent in private messages, and we will suggest the best implementation option.

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Welcome! Our team has been developing intelligent solutions, automated systems, and bots of various complexity for 4 years. We specialize in creating backend architecture using Python and JavaScript, which is the ideal stack for developing and integrating AI agents. We will implement an autonomous agent for your project, connect the necessary language models via API, and set up the decision-making logic and context handling. If needed, we will develop data parsing for training the agent and package everything into a user-friendly interface or messenger. We are ready to discuss the architecture of the future AI agent and the tasks it needs to perform.

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Good day! I will create an AI agent on n8n or Make.

I will connect WABA with your Google Sheets. The bot will strictly verify against the product and price database, which will eliminate any hallucinations. I will set up the sending of templates based on triggers, the unsubscribe logic using the word Stop, and the immediate transfer of complex questions to a Telegram chat for managers. You will receive a ready-made autonomous sales funnel.

Could you please let me know which WABA provider you plan to use?

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The task is clear: a WhatsApp Business agent that accepts requests, conducts dialogues, collects structured data, and forwards it to the manager in Telegram plus Google Sheets. With the ability to initiate contact with the client using approved Meta templates.

We have done similar projects; AI agents for WhatsApp with CRM integration are our specialty.

Approach:

WhatsApp Business API via Meta's Cloud API or 360Dialog as a BSP. Webhook for incoming messages, a separate endpoint for sending outgoing messages based on templates.

AI agent using GPT-4o with function calling. Not a single large prompt, but a state machine with stages: greeting, data collection (name, phone, city, address, product, volume, quantity, delivery method, comment), client confirmation of the request, and forwarding to the manager. Each stage has its own tools and transition rules.
…
Product database in Google Sheets via API. The AI does not invent prices and stock levels, it only pulls from the table. If the product is unavailable or the question is out of scope, it forwards to the manager.

Requests are saved in a separate Google Sheets with fields for name, phone, order, status, source, and consent for newsletters. The manager receives a notification in the Telegram group with a ready format as in your example.

WhatsApp Business templates for outgoing messages: we will prepare texts for your scenarios (request from the website, repeat order, incomplete request, promotions) and submit them for approval to Meta. We consider client consent and process "Stop" for unsubscribing.

Stack: Python with FastAPI, OpenAI GPT-4o, Google Sheets API, Telegram Bot API for manager notifications. PostgreSQL for storing history if the volume increases.

Before the main contract, I am ready to build a prototype of the key block (incoming message, request collection through 3-4 fields, forwarding to Telegram) on a test WhatsApp number in a couple of days.

Portfolio: quentar.space/en/startups

I look forward to hearing from you personally.

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WhatsApp Business API + AI integrations implemented through OpenAI API and n8n, have experience with similar agents for receiving requests and automation.
Portfolio with 70+ projects: blove-studio.com/projects - ready to discuss architecture and clarify details on integrations.

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Hello. I reviewed the technical specifications — the task is clear, I can implement such an AI agent for WhatsApp Business.

I would do this through the official WhatsApp Business API + backend + OpenAI API, so that the agent not only responds with templates but also fully engages in dialogue, collects requests, clarifies missing information, and passes a ready lead to the manager. Google Sheets is also suitable for the MVP — it can be quickly launched, and then a CRM can be integrated if necessary.

Outgoing messages can also be properly implemented through approved templates, consent/stop mechanics, and transferring complex cases to the manager. Additionally, it is important that your specifications correctly state the limitation for the AI — not to invent prices, stock, and conditions, but to take data only from the database.

I have a few questions to properly assess the project:
— Do you already have Meta Business and WhatsApp Business API, or do these also need to be set up?
— Approximately how many products will be in the database?
… — Is a multilingual mode needed?

I suggest we discuss the details.

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Hello, Brother

I can do it for 1000 American tugriks.
Includes funnel, architecture, deployment, testing, and support.
Adaptive code, source code for resale to partners.

We can start with consulting, I set the minimum price for a 30-minute call.

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Good day, I already have experience in creating AI agents, I can complete it quickly and efficiently, write to discuss the details.

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My key competence is the development of non-template bots, but business-oriented AI systems that automate sales and genuinely reduce the workload on managers. In your project, it is especially important not just to respond to the client, but to conduct a dialogue competently, gather the order structure, understand the context, avoid fabricating data, and timely pass complex questions to a person. That is why the agent's logic will be built with scenario control, data completeness checks, and limitations on AI regarding prices, discounts, and stock. If information is not available in Google Sheets or CRM, the agent does not invent but transfers the dialogue to the manager.

I will pay special attention to the official integration with the WhatsApp Business API. The ability to send the first message to the client through approved Meta templates will be implemented, taking into account the opt-in policy and the mandatory command to opt-out of messages via "Stop." This is critically important for the stable operation of the account and the absence of blocks from WhatsApp Business.

The system architecture will be designed in such a way that the MVP can be quickly launched and then easily scaled: connecting CRM, analytics, additional channels, new scenarios, and advanced AI logic. All data on applications, clients, statuses, and mailings will be stored centrally. I will also implement the transfer of applications to managers in Telegram or WhatsApp in a convenient structured format.

Work plan:

1. Analysis of business logic and communication scenarios.
… 2. Connecting WhatsApp Business API.
3. Development of backend and AI logic for the agent.
4. Integration of OpenAI API or a similar model.
5. Connecting Google Sheets with products and applications.
6. Setting up client storage and order history.
7. Implementation of first message scenarios through Meta templates.
8. Setting up opt-in, "Stop," and spam protection.
9. Integration of Telegram notifications for managers.
10. Setting up the transfer of complex requests to the manager.
11. Testing dialogues, applications, and edge-case scenarios.
12. Preparation of documentation and usage instructions.

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Hello, Narek! I looked at the technical specifications — the task is clear, I can implement such an AI agent for WhatsApp Business.

I would do this through the official WhatsApp Business API + backend + OpenAI API, so that the agent not only responds with templates but also fully engages in dialogue, collects requests, clarifies missing information, and passes a ready lead to the manager. Google Sheets is also suitable for the MVP — it can be quickly launched, and then a CRM can be connected if necessary.

Outgoing messages can also be properly implemented through approved templates, consent/stop mechanisms, and transferring complex cases to the manager. Plus, it is important that your specifications correctly state the limitation for the AI — not to invent prices, stock, and conditions, but to take data only from the database.

I have a few questions to properly assess the project:
— Do you already have Meta Business and WhatsApp Business API, or do these also need to be set up?
— Approximately how many products will be in the database?
… — Is a multilingual mode needed?

After clarifications, I will be able to provide timelines and costs.

I suggest we discuss the details.

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I will create a WhatsApp agent: receiving applications, dialogue through OpenAI, collecting all fields from the technical specifications, confirmation by the client, sending to the Telegram group of managers and Google Sheets. Initiation of messages through approved Meta templates, processing "Stop", transferring to the manager for discounts/wholesale/documents. Product database — Google Sheets, AI does not invent prices.

Which WhatsApp Business API is already connected — the official one through Meta or through a provider like 360dialog/Twilio?

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Good day! I am ready to develop a full-fledged AI agent for WhatsApp Business that will receive, clarify, and forward requests to managers.

I have experience working with the WhatsApp Business API, integrating AI models (OpenAI/analog), Google Sheets, and Telegram/WhatsApp notifications.

Write to me, and we will discuss the project details.

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