AI/CTO Offer Market Fit — determine what sells the fastest in B2B (through LinkedIn or without it)

Technical Assignment (Stage 1)Objective It is necessary to develop the architecture of an automatic lead generation system for a real estate agency using n8n, Google Sheets, WhatsApp Business API, and artificial intelligence. At this stage, programming does not need to start immediately. First, it is necessary to propose the optimal architecture of the solution.Initial Data The system uses: Google Sheets (as CRM); n8n; OpenAI (AI Agent); WhatsApp Business API (or suggest an alternative with explanations).Business Process The manager manually adds a new property owner to Google Sheets. The table contains: ID; phone; link to the ad; name (if known); area; price; status; AI stage; last message; probability of contract conclusion; comment; additional service fields.What the system should do The system should: automatically detect a new owner; initiate a conversation in WhatsApp; conduct a natural dialogue; use the memory of previous messages; update the CRM after each message; determine the negotiation stage; pass the prepared lead to the manager.Important Limitations When designing, the following requirements must be considered:1. AI should not appear as a bot It should conduct the conversation like an experienced realtor.2. AI should not ask questions to which answers are already known For example: address; area; residential complex; price; area; floor; property characteristics. This information is assumed to be already known to the system.3. The main task of AI Is not to sell a service. But to gradually build trust.4. Conversation history When messaging again after a few hours or days, AI should continue the conversation from where it left off.5. All changes must be automatically recorded in Google Sheets.What is required from the developer Please propose at least two architecture options. For each option, it is necessary to describe:Architecture What services are used.Workflow What processes will be performed.Advantages Why this approach was chosen.Disadvantages What limitations exist.Scalability How suitable the solution is when working with: 100 contacts; 1,000 contacts; 10,000 contacts.Operating Costs Which services are paid. What limitations exist.Potential Risks For example: WhatsApp blocking; API limitations; memory loss; message duplication; sync errors.

We are looking for a specialist or a team to implement AI solutions in the communication of the CT and MRI medical center. Requirements: integrate AI into telephony for handling incoming and cold calls; ensure natural Ukrainian-speaking communication with minimal pauses; integrate an AI assistant into the Binotel chat or propose an effective alternative; automate responses to inquiries, initial consultations, and scheduling for examinations. Important: the medical field requires accurate information gathering before CT or MRI, particularly regarding the examination area, preparation, referrals, and possible contraindications. The solution must be empathetic, professional, and allow for the transfer of complex cases to an operator. In your response, please send relevant cases, a description of the proposed solution, and estimated timelines. Experience in medical projects will be an advantage.

Good day, what is needed: 1. Conduct an analysis of the processes (personal of the manager) and the business. 2. Consider where (in which processes) AI assistants can be implemented. Where it will be appropriate and effective. 3. Develop a plan. We are engaged in the publication of scientific articles.

Task: 1. Choose the type of AI model or several models (preferably) based on our request. Connect them with each other if possible. 2. Help formulate prompts in such a way that the maximum result is achieved. Prompts for writing articles of various types are needed. Approximately 20-25 prompts.

We need a chatbot with AI in Telegram for a webcam studio. The only task of the bot is to find suitable information in the studio's knowledge base and pass it to the models. It should not give its own advice or recommendations. If there is no suitable information in the knowledge base, it should direct the model to its curator. We have already assembled a bot on the suvvy.ai platform, and it generally works correctly. However, since we dealt with everything ourselves without specialists in this area, there are questions. We are currently looking for a specialist who could provide consultation/audit on this topic. The questions are approximately as follows: 1. We need a specialist to look at our settings and tell us if the cost of the bot's work is normal for us, or if it can be optimized (on this or another platform) to make the response prices lower? 2. How should we properly format the knowledge base for the bot? On Savvy, there is an option to add entries in the "question-answer" format or upload entire documents. It is important for us to clearly understand what information to upload in what format to the knowledge base so that the bot works as efficiently as possible, while also maintaining optimal response prices. There are also some minor clarifying questions about various functions, but these 2 are the most fundamental and essential) We are eagerly awaiting proposals regarding the cost and format of the consultation