AI Telegram bot for an online school based on Make (Integromat) / n8n
446 USD 
Technical task for the development of an AI Telegram bot for AntiSchool based on Make (Integromat) / n8n
1. General information
Project name: AI bot for online school
Goal: Creation of a Telegram bot that will operate based on artificial intelligence, integrated through Make (Integromat) or n8n, to automate the process of interaction with clients.
2. Main functionality of the bot
Client identification
Obtaining contact information (name, phone, email).
Checking for duplicates in CRM.
Saving in CRM through Make / n8n.
Analysis of the request and learning goals
Surveying the client:
Have you studied English before?
What is the goal of learning? (travel, work, relocation, education)
What format is needed (group, individual lessons)?
Using GPT-4 API for analysis and forming a personalized offer.
Conducting an English level test
Generating test questions through AI.
Analyzing answers in real-time.
Determining the level according to CEFR (A1, A2, B1, B2, C1, C2).
Saving the result in CRM.
Presentation of the online school
Providing the user with information about learning formats (group, individual, pair).
Sending an interactive video or PDF presentation.
Answering questions through GPT-4 API.
Personalized special offer
Automatic selection of the appropriate course and learning format.
Generating a discount based on client activity.
Using AI analysis of client behavior (how quickly they respond, what questions they ask) to determine the level of interest.
Issuing an invoice
Integration with payment systems through Make / n8n.
Generating an invoice through Google Sheets / QuickBooks API.
Sending a payment link in Telegram.
3. Technical requirements
Telegram API – for creating the bot.
Make (Integromat) / n8n – for automating logic.
GPT-4 API – for AI processing of client responses.
Google Sheets / Airtable / CRM API – for data storage.
Stripe / LiqPay API – for invoicing.
4. Integrations
Make (Integromat) or n8n – as the main integrator.
OpenAI API (GPT-4) – for AI responses.
CRM – for storing contacts.
Google Sheets / Airtable – for analytics.
integration with payment systems – for invoicing.
knowledge base in documents – for bot responses.
5. Bot operation logic
Client enters the bot → bot asks for name and contact details.
AI bot asks about learning goals → analyzes responses through GPT-4.
Launches AI test → determines English level.
Provides school presentation → offers learning options.
Generates personalized offer → suggests prices.
Forms invoice → client receives a payment link.
6. Deadline
MVP development – 2 weeks.
Testing and optimization – 1 week.
Launch and integration into CRM – 1 week.
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