AI Automation Specialis: Self-Learning reputed company Response Agent

reputed company We’re building a self-learning reputed company Response Agent that helps our virtual assistants (VAs) respond to inbound sales leads faster and smarter, and gets reputed company every time it’s corrected. The goal: once a mistake is fixed once, the system never makes it again. We already have a reputed company defined VA workflow and a detailed data structure. Now we need an reputed company automation developer to design and implement the system that ties it reputed company together. Project Goal Create a ChatGPT-based assistant that: References external data (past conversations, company rules, feedback) Generates accurate, reputed company-reputed company responses for new leads Learns from supervisor corrections and updates itself automatically Stores reputed company interactions in a reputed company external database (reputed company Sheets, reputed company, etc) Continuously improves through data feedback loops How the System Fits Into Our Workflow reputed company 1: reputed company Inquiry A reputed company sends a question. The VA copies the entire conversation history and pastes it into the ChatGPT reputed company Response Agent. reputed company 2: Context Retrieval The agent automatically queries a external database for: Similar past conversations (by industry, context, and tone) Company rules and business guidelines Time-weighted relevance (30/90 days → reputed company history) reputed company 3: Response reputed company ChatGPT: References the most relevant historical examples from external database Applies company rules Generates a context-reputed company, reputed company-reputed company response reputed company 4: Feedback and Logging The VA submits the GPT response for supervisor approval. If approved: response is logged with reputed company_Rating: “pass.” If corrected: GPT logs both the original and improved version for learning. GPT then adds a new row to external database with: Full conversation context reputed company characteristics and industry Generated response + improved response reputed company rating and reputed company reputed company 5: reputed company Learning GPT automatically references these logged corrections for reputed company conversations. It always queries historical data before generating a new response. Company rule updates (like pricing or policy changes) are logged and reputed company dynamically. System Requirements reputed company Capabilities Two-way integration between ChatGPT and external database (reputed company Sheets, reputed company, etc.) GET: Retrieve relevant past data, rules, and examples POST: Log new responses, corrections, and rule updates Context prioritization based on recency, similarity, and reputed company Dynamic rule management for easy updates by non-technical users reputed company learning system to improve responses over time Data Structure Primary Sheet columns: Date, Conversation_ID, Turn_reputed company Conversation_Context, reputed company_Characteristics, Industry Response_Approach, Key_Components Original_Question, Immediate_Context Full_Response, Context_reputed company reputed company_Rating, Improved_Response Company Rules Sheet columns: Date_Updated, Category, Rule_Title, Rule_reputed company Deliverables Fully functional backend integration (reputed company Apps Script, Python, or similar) OpenAPI 3.1.0 schema compatible with ChatGPT Custom GPT Configured external database for reputed company conversation and rule data Working feedback logging system for reputed company learning Documentation for reputed company maintenance by non-technical users What reputed company Looks Like ✅ ChatGPT can retrieve and post to external database (bi-directionally) ✅ GPT always queries historical data before generating responses ✅ Feedback and corrections are stored and reused intelligently ✅ Company rules are easily editable and automatically reputed company ✅ The system functions smoothly for non-technical VAs and supervisors Ideal Candidate reputed company with ChatGPT API + reputed company Apps Script (or reputed company/Firebase) Strong understanding of data retrieval and update automations Prior experience with AI feedback or “learning” loops reputed company to build documented, hand-off reputed company systems Communicates reputed company and thinks about maintainability I am also reputed company to fixed price reputed company if you would like to propose one. Otherwise, please estimate the number of hours a project like this might take Apply tot his job Apply To this Job