Technical Partner Needed for Advanced AI Digital Workers, n8n, LLMs, RAG, Lovable Interfaces, and Automation Systems

@Hrolgar

The demo-first model makes sense, but the gap between "impressive demo" and "production digital worker" is where these projects usually break down. If the demo is a thin wrapper around a vector database with hand-picked documents and a clean prompt, clients approve something that won't survive their actual data. My approach is to build demos that already have the real retrieval strategy in place, proper chunking for the client's document types, explicit tool execution boundaries, and logging from day one, so what clients see is accurate rather than a polished version that misrepresents what they'll get. On the n8n side, I'd keep workflow nodes narrow and observable, with human-review checkpoints from the start rather than bolted on later. RAG retrieval quality is usually the thing that kills these in production, so I front-load the embedding and chunking work even in the demo phase. For the Lovable interface, I'd wire it to the actual data flows so the client sees real latency, fallback states, and the review queue before they sign off. 750 EUR, 5 days for the first demo architecture and scoped brief. This is an indicative estimate from the brief; I'll give you a firm quote once the scope is locked. What domain is the first client brief in, and do you have a vector database preference or is that open?

@Friends4it

Hello, I'd be glad to be your recurring technical partner for AI digital workers and automation. I build exactly this stack: n8n agent workflows, LLM + RAG pipelines (vector DBs like Pinecone/pgvector), API integrations, and clean front-ends (Lovable/React) wired to automation back-ends on Azure. For recurring client work I can act as a reliable white-label build partner, delivering per-project with clear scoping and documentation. We run AI integration and automation projects continuously and also operate our own SaaS products (EloERP, iCargos). I'd suggest we start with one pilot workflow to prove fit, then formalize the ongoing arrangement. — Muhammad Idrees / Global IT Vision Pvt. Ltd

@revival786

Greetings! I will build advanced AI digital workers using n8n, LLMs, RAG systems, vector databases, and Lovable interfaces. I will create demos with dashboards, CRM, email, WhatsApp, tasks, and reports for client approval, then develop full production systems with reasoning, validation, self correction, and human in the loop layers. I have automation and AI agent experience. I will send examples. I am comfortable with demo first workflow. Send your client briefs. Thanks, Revival

@rosscarter1011

Hey, the validation-plus-self-correction layer is what most n8n builders fake with a simple error branch and call it done. Real self-correction means the second LLM rewrites context before the retry, not just re-triggers the same prompt. The tricky part is threading long-term memory through that loop without poisoning the session context on failed attempts, and I've got a pattern that handles it cleanly. Are your workers starting fresh on n8n plus Supabase, or integrating into an existing client stack?

@albertc1996

Hi there, I read through your post and I’m definitely interested. The “Digital Worker” concept resonates with how I’ve been working—building systems that don’t just automate clicks, but actually handle business reasoning and document processing. Here is a quick breakdown of how I work: 1. Experience: I’m a technical developer specializing in automation and AI agents. I don’t just build basic scripts; I focus on creating reliable, production-grade backends that allow AI to perform actual tasks autonomously. 2. Examples of my work: RAG & Knowledge Base Agents: I recently built an AI agent that processes complex technical documentation. It uses RAG to fetch precise context from a knowledge base before an LLM synthesizes the answer, ensuring accuracy and reducing hallucinations. LLM-Driven CRM Workflows: I’ve developed agents that monitor incoming business communication, use an LLM to “reason” about the sentiment and intent, and then autonomously update records in a CRM. Complex Automation: I’ve built systems that monitor market data, scrape real-time sources (using Python/Playwright/BeautifulSoup), and trigger actions based on specific logic—integrating everything into n8n workflows for stability. 3. Tools: My core stack is n8n, Python (for custom logic/scraping), Docker, and Linux. I manage everything to ensure the workflows are scalable and don’t break. 4. Interface Builders (Lovable): My strength is the “brain” (the backend, database, and logic). I am comfortable working with Lovable to build the UI layer, and I can bridge the gap between your interface designs and the n8n backend seamlessly. 5. Technical Depth: I have extensive experience with APIs, webhooks, and SQL/MySQL. I’m comfortable working with Vector Databases to support RAG implementations and managing LLM context windows to keep costs low and performance high. 6. Pricing: Your range (150–150–300 per worker) is perfectly reasonable. I’m happy to discuss volume pricing if we start working on multiple agents simultaneously. 7. Workflow: I’m completely on board with your “demo-first” model. It’s the most professional way to align expectations before diving into a full build. I have a quick question: For the demo phase, do you usually have a specific prompt-engineering framework you prefer for the LLMs, or are you looking for me to design the reasoning layers (system prompts, temperature settings, etc.) from scratch? I’m looking for a steady, long-term collaboration. Let me know if you’d like to see a sample of my code or a walkthrough of a previous workflow. Best,

@mughiraaa

Hello, Your focus on creating complete AI digital workers rather than simple automations immediately caught my attention. I have experience developing AI agent systems that combine LLMs, RAG, vector storage, workflow orchestration, API integrations, business process automation, and client facing interfaces. I am comfortable taking a client requirement and turning it into a practical architecture with reasoning layers, validation flows, memory, human review points, and operational tracking. I have also worked with CRM integrations, communication channels, knowledge systems, and business automation across multiple industries. I would welcome a short meeting to discuss your workflow, current opportunities, and expectations for a long term partnership. I am confident I can contribute to both demo presentations and production deployments while maintaining quality and speed. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@mugencodes

Hello, I understand the critical need for advanced AI digital workers, n8n agents, and automation systems in today's business landscape. Your quest for a technical partner to collaborate on these cutting-edge projects aligns perfectly with my expertise and passion for creating innovative solutions. With a solid background in Azure, software development, API integration, and database management, I bring the skills necessary to develop robust AI digital workers capable of handling complex business workflows across various industries. My experience in automation and vector databases will ensure the scalability and reliability of the systems we build. I am well-versed in tools like n8n, LLM integration, and API integrations, essential for creating intelligent digital workers that can seamlessly interact with various systems and interfaces. My approach involves designing stable and maintainable systems tailored to meet the unique needs of each client. I am confident that my technical abilities and collaborative mindset make me an ideal long-term partner for your projects. I look forward to the opportunity to discuss how we can work together to bring your vision to life. Best regards, Jayabrata Bhaduri

@haseebsidd07

Hi There, I understand you are seeking a technical partner to build advanced AI digital workers and automation systems for your diverse client base. My expertise aligns perfectly with your requirements for developing sophisticated, reliable, and scalable AI solutions capable of managing complex business workflows. I am Abdul Haseeb Siddiqui, with over 6 years of experience in Azure, Software Development, Prototyping, API Integration, and Automation. I have a strong background in building various AI systems, integrating LLMs, and designing interfaces with tools like n8n and Lovable. You can explore my portfolio here for relevant projects: https://www.freelancer.com/u/haseebsidd07 I am keen to collaborate as your long-term technical partner, ensuring successful project delivery with an emphasis on quality and efficiency. Looking forward to discussing this opportunity further. Thank you, Best regards, Abdul Haseeb Siddiqui

@godesignpk

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Azure, Software Development, Prototyping, Automation, Database Management, API Integration, Data Management, Vector Databases, LLM Integration, n8n Please come over chat and discuss your requirement in a detailed way. Thank You

@Web1devloper

Having spent the past 8 years specializing in data-driven technologies, I am confident in my ability to exceed your expectations for this project. I possess extensive experience with not only AI and machine learning through my work with Python, R, TensorFlow, and PyTorch but also with database integration and API utilization which are crucial to project completion. From Power BI and Tableau to Looker and Google Data Studio, my proficiency with data visualization tools will ensure your digital workers provide comprehensive insights on a range of operations including but not limited to those listed in your project details like reporting, logistics etc. My skills extend beyond just the platforms mentioned as I have also used Airtable extensively for other clients. Finally, I have a unique understanding of the importance of maintaining an organized workflow while communicating progress updates concisely and efficiently across interdisciplinary teams. This will translate into a seamless reportage on all aspects of the project including but not limited to browsing limited conversational interfaces for n8n. With me at your side, we'll curate an exceptional partnership delivering robust and lovable interfaces meeting both time-constraints and client excellence standards every single time.

@FizzaNadeemK

Hi, you need a technical partner who can turn business processes into reliable AI workers that actually operate inside company workflows, not just connect a chatbot to a few tools. The focus on multi-layer agents, RAG, validation, memory, and client-facing interfaces is the part that matters, and I have experience building automation systems, integrations, and workflow solutions using platforms like n8n where data flow and reliability are critical. I’ll help design and build digital workers with LLM orchestration, API connections, databases, automation layers, and practical interfaces that clients can understand and use. I’m comfortable with a demo-first approach, creating functional prototypes before moving into production builds with documentation and maintainable workflows. Which type of digital worker do you expect to have the highest demand first so the initial architecture matches your client pipeline? Best regards, Fizza Nadeem K

@invoketech

Hello, I have hands-on experience with projects having similar features. I have 9+ years of experience in AI automation, full-stack development, and workflow orchestration, we can build production-ready AI digital workers powered by n8n, OpenAI/Claude/Gemini, RAG, vector databases, and modern interfaces. We have experience integrating APIs, Airtable, Supabase, Pinecone, WhatsApp, Slack, CRMs, and cloud platforms to automate real business operations. From interactive demos to scalable deployments, we deliver reliable, maintainable solutions with human-in-the-loop validation, long-term memory, and seamless business workflow integration. Key Features --> AI Digital Workers & n8n Automation --> RAG, LLM & Vector Database Integration --> API, CRM & Third-Party Integrations --> Lovable UI & Custom Dashboards --> Human-in-the-Loop & Workflow Validation --> Scalable, Secure & Production-Ready Systems Let’s discuss in chat as I have some queries to ask regarding the project to proceed further. Thanks Invoke Tech

@jcrbahia

The five-to-seven-layer architecture you describe — input interpretation through logging, self-correction, and human-in-the-loop — is exactly the kind of system I work with regularly. - I build n8n orchestration first: mapping triggers, tool calls, and branching before touching LLMs. For vector stores I use Supabase pgvector or Pinecone depending on whether the client already has a Postgres stack; Claude or GPT-4o for reasoning, with a secondary LLM pass for validation. - Lovable demos wire cleanly to Airtable and a lightweight n8n agent via webhooks, giving clients a functional preview without shipping full production infrastructure. Worth clarifying: does "demo complete" mean a Lovable prototype with simulated data, or a live agent already hitting real APIs? That boundary defines the first milestone scope. - The 150–300 USD per worker range may be tight for systems at this architecture level. A CRM worker with RAG, memory, and a Lovable interface runs well beyond that range at sustainable rates. How do you handle pricing for workers at the higher complexity end? Delivery for the demo phase sits within two weeks. This amount is an orientative reference for the current scope, not a final price — the exact figure depends on worker type and layer count. I'm happy to walk through the architecture on a quick 15-minute call here on Freelancer.

@hoangvanp

Hello, I hope you are doing well. I have carefully checked your requirements and understand that you are seeking a technical partner to collaborate on building advanced AI digital workers, n8n agents, lovable interfaces, RAG, LLMs, and automation systems. These systems must be capable of assuming real job positions within companies, handling various business workflows, and integrating with tools like n8n, OpenAI, RAG systems, databases, CRM platforms, and communication tools. Since I have worked on similar AI agent systems, I can quickly handle the development of these complex digital workers with a focus on reliability, scalability, and production readiness. My experience includes building advanced automation systems, integrating APIs, designing user interfaces, and implementing validation layers for real companies. I can deliver: - AI digital workers for various business workflows using n8n, OpenAI, and RAG systems - Custom interfaces connected to real tools such as Slack, WhatsApp, and CRM platforms I can start immediately and work within your timeline. Let's discuss the details via chat. Best regards, Hoang Van Phi

@solutionsplayers

As an experienced Full Stack Developer with over 6 years of building robust web and mobile applications, including proficiently working with APIs, automation and data management, I am more than qualified to be your technical partner on this cutting-edge project. My expertise in PHP, Laravel, React JS and Flutter aligns well with your requirement list including n8n for automation and constructing lovable interfaces. Over time, I have honed my skills in creating clean, well-documented codes in both the frontend and backend using various databases e.g MySQL, SQLite. Lastly, I am aware that demo workflows are crucial in giving your clients a glimpse into how customized systems could work. My proficiency with React JS combined with the ability to quickly understand complex requirements gives me a unique advantage in preparing such demos encompassing features like KPIs, actions performed by the digital worker etc. My passion lies in turning even ambitious visions into reality through modern technologies. Given this opportunity, be assured of a project founded on error-free code, quick responses and reliable support from inception to completion. Let's bring your vision to life!

@krupnovdenis

Hello! We can provide an external team to build these AI worker and automation systems. 1. Are you open to working with an external contractor or team for these tasks? 2. Which tasks and technologies need to be covered first? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@sakshigweb

Hi — n8n multi-layer agent architecture, RAG systems, LLM integration, vector databases, and Lovable interfaces are all regular territory for me. The 5–7 layer reasoning pattern you described — input interpretation, RAG retrieval, LLM reasoning, validation, human-in-the-loop, execution, logging — is exactly the architecture I build for production AI worker systems. Stack coverage: n8n, OpenAI/Claude APIs, Supabase, PostgreSQL, Pinecone/vector DBs, REST APIs, webhooks, WhatsApp Business API, Slack, Gmail/SMTP, Airtable. Lovable I work alongside as a React/Supabase frontend layer — the underlying stack is what I build on directly. On the demo-first workflow: I understand the business logic and I'm comfortable with it, provided demo scope is clearly defined upfront so both sides know what "demo complete" looks like before work starts. On pricing: $150–300 per worker is below what a production-grade 5–7 layer system with interface, documentation, and testing realistically costs to build well. I'd want to discuss per-project scoping rather than a flat per-worker rate — simpler workers at lower rates, complex multi-layer systems priced accordingly. If volume is consistent and scoping is clean, I'm open to finding a sustainable rate for both sides. What does your current pipeline look like — how many active client projects are in the demo or development stage right now? Regards Sakshi G

@mhhasibuzzaman

Wow! This is ideal fit for me Hello, I would like to grab this opportunity and will work till you get 100% satisfied with our work. I'm familiar with this kind of task and have many years of experience on Azure, Software Development, Prototyping, Automation, Database Management, API Integration, Data Management, Vector Databases, LLM Integration, n8n Lets connect in chat so that We discuss further. Thank You

@meeranas

Hi, Your vision of building AI digital workers that perform real business roles—not just chatbots—aligns closely with the type of AI systems I enjoy building. I have experience developing AI-powered applications using **OpenAI GPT-5, FastAPI, Laravel, Python, RAG pipelines, vector databases, MongoDB/PostgreSQL, REST APIs, and workflow automation**, with a focus on reliable, production-ready architectures. I can help design and build multi-step AI workers with RAG, structured memory, validation layers, human-in-the-loop approvals, API integrations, and dashboards or custom interfaces. I'm also comfortable integrating with tools like **Supabase, Airtable, Slack, WhatsApp, HubSpot, Notion, and AWS**, while keeping workflows modular and maintainable. I'm happy to work with your **demo-first approach**, creating functional prototypes before moving to full production. I believe it's an effective way to validate ideas and reduce project risk for both your team and your clients. I'd love to discuss how we can collaborate long-term and help deliver scalable AI digital workers for your international clients.