Bot for social networks
Development of an AI bot for social networks Instagram-Facebook. The bot should respond to customer inquiries, send photos, offer products from the data feed, and guide the customer to make a purchase. Interested in a bot on the N8N platform. + the bot should enter the completed order into the CRM system or Google Sheets. Detailed technical specifications are available at the link to Google Drive https://docs.google.com/document/d/1w71ggCByU6ru5OzUEO1lQOIf29kmik30c452XdSdwXk/edit?tab=t.0#heading=h.ds04q9u6n87
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5 days445 USD
5 days445 USD
Good day, I have experience in creating bots, please reply and we will discuss everything in detail)
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3 days156 USD
128 3 days156 USD
Hello!
I am interested in your project - I have relevant experience and am ready to take on the task. I work quickly, responsibly, and with attention to detail.
🔹 A little about me: I have over 3 years of experience in development.
I have experience in .NET Core, C#, ASP.NET MVC, Web API, JavaScript/CSS/HTML, React.js, Next.js, MS SQL, Git.
🔹 Ready: to start immediately, agree on the deadline and budget, make adjustments if needed.
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15 days601 USD
466 15 days601 USD
Good day, Ivan!
This is a wonderful and professionally crafted project brief. I not only see but fully understand the architecture you propose and am ready to implement it. This project aligns 100% with my experience in creating complex AI agents on n8n.
I will go through the key nodes to confirm my understanding:
Core on n8n and ChatGPT (WF-A, WF-B): I fully understand the logic of processing webhooks from Meta, the necessity of Rate Limiting for stability, and further routing to ChatGPT for NLU (intent recognition). I will pay special attention to configuring prompts for ChatGPT so that it clearly classifies requests (Selection, Details, Formatting) and generates short, relevant responses in Ukrainian.
Working with data and transactions (WF-C, D, E, F):
Feed: I will implement a parser for your XML feed with caching in n8n for quick access to products. I will set up parsing of characteristics from title/description as you specified.
CRM and Payments: Integration with SalesDrive for order creation and LiqPay for generating payment links are tasks I have performed multiple times.
…
Closed loop and monitoring: I understand the critical importance of processing callbacks from LiqPay for automatic order status updates in CRM. The notification system in Telegram for the manager (escalations, new orders, errors) and detailed logging will be implemented first for complete transparency and control over the agent's work.
All necessary integrations and working with APIs (Meta, OpenAI, LiqPay, SalesDrive, Telegram) are well known to me. I am ready to work with your secrets (API keys, tokens) through ENV to ensure security.
Considering the detail of your project brief, I am confident in a quick and quality implementation. I suggest we have a call for 20-30 minutes to discuss the implementation details, timelines, and budget, as well as to conduct the acceptance tests you described.
When would be convenient for you?
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10 days401 USD
1315 7 0 10 days401 USD
Good day.
I am ready to take your project into work.
I can develop for you according to your specifications using n8n.
Message me privately, we will discuss all the details and can start the implementation.
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6 days445 USD
3722 11 0 6 days445 USD
Good day! I am implementing an AI manager for FB/IG on n8n with integrations for ChatGPT, LiqPay, SalesDrive, and Telegram according to the specifications. I work component-wise: separate n8n workflows for webhooks, NLU/routing, feed search, ordering, payment, callbacks, escalations, and logs.
How I implement it:
Meta (FB/IG): Webhook node + VERIFY_TOKEN validation, payload normalization, rate-limit/deduplication; responses via Graph API (Page Access Token).
NLU & Routing: intent classification in OpenAI (ChatGPT) + RegExp filters; Ukrainian by default; short responses of 2–3 sentences + CTA; branches: "Selection / Details / Ordering / Payment / Escalation".
Product feed: HTTP Request to FEED_URL, cache in n8n (TTL 15 min) or Redis (if available); parsing id/sku, title, price, availability, image_link; additional attributes: regex for height/type/snowiness/garlands; top 3 cards with buttons.
Ordering: user data validation, creating an order in SalesDrive with status awaiting_payment; saving external_id.
Payment: generating LiqPay payment_url (TTL 30 min), sending to the client; verifying callback signature => updating status in SalesDrive (paid/failure).
Escalations and notifications: Telegram Bot API — messages to the manager (new orders, errors, manual intervention); short checklist of actions.
Logs/analytics: recording intent, steps, amounts, external_id in Google Sheets or DB; event correlation.
… Prompt editor: buttons "Generate example" / "Improve text" / dynamic placeholder — through lightweight HTTP endpoints n8n with OpenAI.
Security and environment: ENV secrets (META_, OPENAI_API_KEY, FEED_URL, LIQPAY_, SALESDRIVE_, TELEGRAM_), retry control, idempotency keys, separation of staging/production.
Technologies I will use:
n8n, OpenAI API, Meta Graph API, LiqPay API, SalesDrive API, Telegram Bot API, Regex/JS, Redis (optional), Google Sheets API.
Documentation:
short instructions + flow diagrams. I will test on the LiqPay sandbox and a test FB/IG page.
I will execute cases from the specifications: selection "2.1–2.3 m up to 5000 ₴" (1–3 cards), ordering => SalesDrive awaiting_payment, payment (sandbox) => paid, escalation => Telegram, logs with intent/steps/amounts.
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