Bangun 3 Agen AI Internal

@OutsourceMan

Hello, CnEL India can develop and integrate the three AI agents into your existing internal ISP platform, with a strong focus on security, controlled automation, auditability, and scalability. **Our Methodology:** 1. **Architecture & Workflow Analysis** – Review your existing Node.js microservices, MySQL structure, internal dashboard, permissions, and business workflows. 2. **Agent Design** – Define separate responsibilities, prompts, tools, permissions, and escalation rules for Customer Service, Admin, and Marketing agents. 3. **LLM & API Layer** – Select the appropriate LLM approach (API-based or open-source) based on accuracy, privacy, cost, and infrastructure requirements. 4. **Secure Integration** – Build internal API endpoints and controlled database/service access so agents can perform only authorized actions. 5. **Automation & Intelligence** – Implement customer support, administrative workflows, segmentation, analytics, and upsell/cross-sell logic. 6. **Reliability & Monitoring** – Add logging, rate limits, validation, fallback handling, error tracking, and safeguards to protect production systems. 7. **Testing & Handover** – Test each agent with real-world scenarios, document setup/training procedures, and provide a walkthrough for your team. We can first review your current architecture and requirements before finalizing the technology stack, timeline, and infrastructure needs. **Regards, CnEL India Team**

@jeanpatrickr8

Hello, I appreciate the opportunity to bid on your project to build three integrated AI agents for your ISP's internal systems. I understand that you need a Customer Service Agent, an Admin Agent, and a Marketing Agent, each designed to streamline operations and enhance customer engagement. With over five years of experience in developing AI solutions, I specialize in creating chatbots and automation tools that integrate seamlessly with internal systems. I have worked extensively with Node.js and MySQL, ensuring robust and efficient integration. To successfully deliver your project, my approach would include: - Conducting a detailed requirements analysis to tailor the agents to your specific needs. - Designing a scalable architecture that supports seamless integration with your existing database and microservices. - Developing and testing functional prototypes for each agent with comprehensive API endpoints. - Providing thorough documentation and training materials for your team, followed by a concise hand-over session. I am excited about the prospect of bringing these AI agents to life and am confident in my ability to deliver high-quality results on time. I am available to discuss your project further and can start immediately. Thank you for considering my proposal!

@toriquldev123

Hello There! I’m Md Toriqul Islam, and I’m excited to partner with you. I have rich experience in AI automation, LLM integrations, Node.js, Python, APIs, MySQL, and agent-based workflows. I understand you need three internal AI agents—Customer Service, Admin, and Marketing—integrated with your existing Node.js microservices and MySQL database. I’ll design secure API endpoints, controlled database access, logging, rate limits, fallbacks, and clear separation of permissions so each agent performs only its intended tasks. I am skilled in Python, Node.js, TypeScript, LLM APIs, AI agents, RAG, MySQL, REST APIs, webhooks, automation, and backend architecture. I recommend starting with an API-based LLM for the prototype, then evaluating an open-source model if volume and hosting costs justify it. I’m ready to discuss your current database/microservice architecture and provide relevant AI automation examples. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@Aaleen110

The core of this job is the deep integration of AI Chatbot Development and AI Integration into your existing internal systems, so the agents can act on that data and communicate through your dashboard. I would start by building the Agent Admin, because getting the data management and subscription status updates correct is the foundation for the other two agents, also the internal system calls will be tested here first. For the Agent Customer Service, I will use AI Model Development to train it on your product information and common queries, so it can answer directly through the dashboard interface. The Agent Marketing will then use AI Development to analyze the outputs from Admin and Customer Service, identifying usage patterns and customer segments for targeted upsell and cross-sell campaigns. I'd build the Agent Admin first because its data handling is foundational for the other two, and it’s also where we will confirm the internal system calls. The brief mentions internal system calls, but not the specific API or framework used for those calls. I have 8 reviews on here, everything delivered on time and on the agreed price so far, plus Preferred Freelancer status. If you hand this over today, I will have the basic framework for the Agent Admin functional within two days, ready for data connection and initial testing.

@longngoc2307

==== Hi - Truong here ==== "3 AGEN AI INTERNAL TERINTEGRASI" — Anda membutuhkan tiga agen yang bekerja di dalam sistem ISP yang sama tanpa membebani database dan service produksi. Saya akan menempatkan ketiga agen di belakang service API terpisah yang terhubung aman ke Node.js dan MySQL, dengan batas akses berbeda untuk Customer Service, Admin, dan Marketing. Logging, rate limiting, fallback, dan audit trail akan dibuat sejak awal agar setiap tindakan agen dapat dilacak dan kegagalan tidak mengganggu sistem utama. Saya akan mulai dari arsitektur dan alur data, lalu membuat prototype endpoint untuk ketiga agen, dokumentasi setup, serta panduan penggunaan untuk tim non-teknis. Untuk LLM, pilihan API berbayar atau model open-source bisa dibandingkan berdasarkan volume percakapan dan resource server Anda. Apakah microservice Node.js dan struktur tabel MySQL saat ini sudah memiliki API internal yang bisa digunakan ketiga agen? Looking forward to working with you.

@shayankhan333

Tiga agen yang saling memberi data satu sama lain sebaiknya berbagi satu layer memori (Postgres/pgvector atau Redis) di atas MySQL, bukan tiga context store terpisah, agar Marketing bisa membaca sinyal dari CS tanpa query berat ke produksi. Saya akan siapkan arsitektur dan diagram alur, prototype ketiga agen sebagai microservice Node.js dengan endpoint internal, plus dokumentasi setup dan fine-tune. Untuk LLM, GPT-4o-mini atau Llama 3 self-hosted, tergantung sensitivitas data pelanggan. Pengalaman saya di LLM, Node.js, dan otomasi data sejak 2018. You can see my past work and reviews here: https://www.freelancer.com/u/shayankhan333 1. Data pelanggan boleh keluar server (API berbayar) atau wajib on-premise? 2. Dashboard internal pakai stack apa untuk pemanggilan agen? Cheers Shayan

@sarimshoaib1425

100% doable. Just deployed 4 separate AI agents for a law firm handling intake and follow-ups end to end, so building out your customer service, admin, and marketing agents integrated into your internal dashboard is right in that lane. I'd build each agent to call into your existing MySQL database and Node.js microservices through internal API endpoints, with logging, rate-limiting, and fallback baked in so nothing overloads production and everything stays auditable. Keeps it modular so each agent can be tuned independently later. Can have a functional prototype of all three ready within the week, plus the architecture diagram and setup docs. Let's do it.

@ammarahmed20

Drawing from my extensive experience as a seasoned AI and automation specialist, I am more than capable of actualizing your project of building 3 fully integrated AI agents. My proficiency in developing autonomous AI agents with robust decision-making, memory and tool use capabilities aligns perfectly with the task of creating an AI Customer Service, Admin and Marketing Agent for your internet service provider. Besides crafting the three agents proficiently, I am skilled in various technologies relevant to this project such as Node.js for microservice integration, MySQL for database compatibility and LLM open-source or API for language modeling. I also implement vital features like logging, rate-limiting and fallback mechanisms to ensure easy auditing and optimum performance that doesn't weigh down server load. Let's get started on building this solution for your internal system that will revolutionize your customer service, data management/administration processes as well as data-driven marketing efforts by sorting through complicated user patterns and executing strategic upsell/cross-sell campaigns successfully.

@gutibs

Hi! This is something we can handle. Before I give you a proper estimate, a few things would really shape the approach. How much can the agents actually *do* in your systems — read-only, or can they write/update data too? That changes the complexity a lot. Also, are these agents meant to work autonomously or does a human always confirm before anything gets executed? On the LLM side: open-source (Ollama + a local model) keeps data in-house and avoids API costs, but needs a decent server. A hosted API (like Claude or OpenAI) is faster to ship and easier to maintain. Happy to go either way depending on your infra. We'd build each agent as a separate API service, connect them to your MySQL/Node.js stack via internal endpoints, and include logging, rate-limiting and fallback handling from the start — not as an afterthought. The three-agent architecture makes sense, and having the Marketing agent pull from the other two is a solid design. Let me know how the agents interact with your current dashboard (webhooks, direct DB calls, something else?) and I can put together a real breakdown. Gustavo & the DoTheCode team --- P.S. We don't speak Indonesian well enough to work in it, so we write in English. If it helps, feel free to use a translator — we're happy to keep the conversation going either way.

@abela399

Halo, Saya pernah mengembangkan workflow AI yang terhubung ke API dan database internal, jadi pendekatan tiga agent seperti ini cukup familiar, terutama ketika setiap agent harus punya batas akses dan fungsi yang jelas. Satu pertanyaan: apakah ketiga agent akan menggunakan data pelanggan dan knowledge base yang sama, atau masing-masing memiliki sumber data serta permission yang berbeda? Saya akan membuat layer AI terpisah di atas microservice Node.js yang sudah ada, dengan MySQL sebagai sumber data utama. Setiap agent akan memiliki role dan tool yang terbatas sesuai tugasnya, sementara logging, rate limiting, validation, dan fallback ditempatkan di layer API agar aktivitasnya mudah diaudit dan tidak membebani production. Untuk model, saya akan memilih antara API LLM atau model open-source berdasarkan volume request, kebutuhan privasi, dan resource server. Prototype API, dokumentasi konfigurasi, alur agent, serta hand-over akan dibuat agar tim internal dapat melanjutkan pengembangannya. Abel

@engruhulajom

Hello Dear, I'm Md Ruhul Ajom, a Full-Stack Web & Mobile App Developer with over 10 years of professional experience, and I'm excited about the opportunity to work with you. I can start your project immediately and am committed to delivering high-quality results. I have extensive experience in web and mobile application development, custom software solutions, API integration, database design, performance optimization, and bug fixing. My expertise includes React, Vue.js, Laravel, PHP, Python, Automation, Twilio, REST API, WordPress, JavaScript, React Native, MySQL, REST APIs, Git, Docker, Linux, SEO, eCommerce, and Shopify I understand you're looking for a reliable developer to build a secure, scalable, and user-friendly solution that meets your business needs. I prioritize clean code, timely delivery, and clear communication throughout the project. I'm ready to discuss your requirements and help bring your vision to life. Best regards, Md Ruhul Ajom

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in API Integration, API Testing, AI Chatbot Development, AI Development As a preferred freelancer in the top 1%, I have done 400+ projects here on freelancer.com, I have 4.9 ratings out of 5 on average, which showcases my quality of work and timely delivery. Key Highlights: - Free Hosting Support on the Cloud or any desired platform. - Free 3 months of post-delivery support to ensure that our client doesn’t face any challenges after the launch of the project. - Free Dedicated tester on projects to ensure quality delivery, so clients don’t need to act as a tester. - 10+ Years experience UI/UX team to ensure intuitive UI. Portfolio: https://www.freelancer.com/u/Microlent Please open the chat and send me a message, so we can have a more detailed discussion about the project to give you the project timeline and cost. Thank you for considering my services. I look forward to engaging in a productive conversation and understanding how I can be of assistance in bringing your project to life. Regards Rajesh Rolen

@rajeshrolen

Hello, I understand your need to develop three AI agents—Customer Service Agent, Admin Agent, and Marketing Agent—fully integrated into your company's internal internet service system. For the Customer Service Agent, I will ensure it can handle customer inquiries, resolve complaints, and provide product information automatically through your existing internal dashboard. The Admin Agent will assist the back-office team in managing customer data, updating subscription statuses, and processing routine administrative requests. The Marketing Agent will analyze usage patterns, segment customers, and run data-driven upsell/cross-sell campaigns based on insights from the other two agents. Technically, I will ensure seamless integration with your company's internal system, utilizing MySQL for the database and Node.js for microservices. Language models can be implemented using either open-source LLM or paid APIs, with a detailed explanation of resource requirements. Additionally, I will include logging, rate-limiting, and fallback mechanisms for easy auditing and minimal server load. My deliverables will include a technical architecture and flow diagram, a functional prototype of the three agents with internal API endpoints, setup documentation, training guides, and a brief online hand-over session for your non-technical team. I have experience in similar projects, and I am confident in delivering a high-quality solution tailored to your requirements. I invite you to open a chat to discuss further details and share insights on the technical approach. Sincerely, Rajesh Rolen

@invoketech

Hello, I have hands-on experience with projects having similar Internal AI Agent requirements. I have 10+ years of experience in AI, Node.js, Python, LLM integration, automation, and API development. I can build the Customer Service, Admin, and Marketing agents and integrate them securely with your existing MySQL database and Node.js microservices. I can implement customer support, admin automation, customer segmentation, upsell/cross-sell workflows, logging, rate limiting, fallback handling, and secure internal API endpoints. I’ll also provide the technical architecture, functional prototypes, setup documentation, and hand-over session with a practical approach focused on production safety. I promise to give your project my all, complete it on schedule, and offer you a year of assistance once it is finished. I also provide live, 24-hour assistance for your project. Please connect with me in the chat box for further discussion. I await your response. Thanks

@Cruz1217

Running three AI agents from the same Node.js microservice can overload MySQL if calls aren't batched or throttled. I’ll create a thin wrapper that queues requests, spreads load across async workers, and connects each agent to a shared LLM endpoint. The design will include built-in logging, rate-limit checks, and a fallback to a rule-based response so production stays stable. One common mistake is letting the model generate unrestricted text, which can hit rate limits and flood logs. I'll add a short-response filter and a deterministic fallback that returns canned answers when the LLM exceeds its quota. Expect a functional prototype, clear setup docs, and a one-hour walkthrough that lets your non-technical team start right away.

@Foraxis

It's clear that you've put a lot of thought into building these AI agents to enhance your internal systems. I have successfully developed similar AI solutions for companies in the service sector, focusing on customer engagement and operational efficiency. Your goal of integrating these agents seamlessly into your existing infrastructure aligns perfectly with my experience in system integrations. I understand the importance of ensuring the agents can communicate effectively with your MySQL database and Node.js microservices, as well as implementing robust logging and rate-limiting features. With a strong background in AI development, I prioritize performance, security, and user experience, ensuring the solutions are efficient and scalable. Could we discuss the specific timelines and resources you have in mind for this project? Warm regards, Foraxis

@rahulk0744

As an accomplished Senior Full-Stack & App Developer, I possess the technical aptitude and expertise necessary to build, integrate, and deploy complex AI systems like the one you're envisioning. I have a solid background in Node.js which cairns closely with your requirement for compatibility with your existing infrastructure and microservices. Moreover, my experience with AI model development, including using LLM open-source or paid APIs, aligns perfectly with your expectations for training efficient agents capable of fulfilling unique roles within your organization. Not only will this improve efficiency and customer satisfaction, but it also aids in robust data-driven campaigns which can extend your service penetration effectively.

@CodeAnchors

Greetings, I understand the importance of building three AI agents—Customer Service Agent, Admin Agent, and Marketing Agent—fully integrated into your company's internal system for internet service provision in Indonesia. The main scope involves automating customer inquiries, complaint resolution, product information dissemination, back-office data management, subscription updates, and data-driven upsell/cross-sell campaigns. My approach includes structured requirement confirmation, controlled planning, clean implementation, testing & validation checkpoints, and milestone-based transparency. With a strong background in AI Chatbot Development, AI Model Development, and AI Development, I ensure reliable execution and long-term results. Portfolio: ⭐⭐ https://www.freelancer.com/u/CodeAnchors ⭐⭐ Could you kindly share your top priority among the three AI agents to focus on initially? Let's discuss further in an open chat to finalize the project scope smoothly. Best regards, Muhammad Anas Khan

@axiomswb

Membangun tiga agen AI internal untuk ISP Anda — CS, Admin, dan Marketing — yang saling terhubung dan terintegrasi ke MySQL dan Node.js yang sudah berjalan. Rencana eksekusi saya: Ketiga agen dibangun sebagai endpoint API terpisah menggunakan LangChain dan OpenAI API. Saya memilih OpenAI dibanding LLM open-source karena tim non-teknis Anda perlu respons konsisten tanpa overhead GPU server — biaya API jauh lebih mudah diprediksi daripada infrastruktur self-hosted. Agent Admin mendapat guardrail ketat: setiap mutasi data pelanggan atau perubahan status langganan wajib melewati validation layer sebelum menyentuh MySQL — satu bug di sini bisa merusak data ribuan pelanggan. Agent Marketing mengonsumsi sinyal dari dua agen lainnya untuk menjalankan segmentasi langsung ke tabel MySQL Anda dan memicu kampanye upsell/cross-sell berbasis data nyata. Setiap pemanggilan agen dicatat — request, response, dan latency — ke tabel audit tersendiri, plus rate-limit middleware agar server produksi tidak terbebani. Deliverable: arsitektur dan diagram alur, tiga prototipe fungsional dengan endpoint API internal, dokumentasi setup dan panduan non-teknis, serta sesi hand-over online 1 jam. Waktu pengerjaan: 10 hari. Anggaran: USD 350. Pertanyaan teknis: apakah microservice Node.js Anda sudah mengekspos REST endpoint yang bisa dipanggil agen, atau agen perlu query langsung ke MySQL?