AI Agent Development Projects

opportunity

E-commerce product comparing

I’m looking for a skilled developer to create an intuitive e-commerce product comparison website that helps shoppers evaluate products and make informed purchasing decisions. Users should be able to search and compare multiple items side by side, review key specifications, features, prices, ratings, and availability, and filter results by relevant criteria. The platform should have a clean, responsive design that works seamlessly across desktop and mobile devices. Please propose a reliable, scalable solution with an easy-to-use interface and clear product information. Don't use AI for proposal!

APP DEVELOPMENT

Hello, I need help with an APP Development. I mostly created the prompts already it has to be just put on flutter and android. It will be a health Thanks

Trading account visual birds eye video

Seeking a skilled video creator to produce a birds‑eye instructional video demonstrating placement of micro‑lot trades and 0.1× leverage setups. The deliverable must follow AI guidance, display clear on‑screen annotations and verbal prompts, and illustrate operations across two accounts: a trading account and a compound‑interest account. Collaborate with my AI to generate a comprehensive library of trade templates and marketing‑ready clips. Target workflow: consistent £100/day campaign once systems are established.

Set my system up for structured AI Assisted coding

Set up my system for structured AI-assisted coding Hi, I'm building a very custom tech platform for community governance, and I'll be directing much of the build myself with AI assistance. I don't want to spend weeks climbing the learning curve, so I'm looking for someone to set my system up properly and hand it over to me in plain language. What I'd like to end up with: - A working setup on my machine where I can give the AI clear instructions on an ongoing basis and see exactly what it changed - Project instructions written into the codebase (a CLAUDE.md or equivalent) so the AI understands my platform's own rules, terms and logic rather than defaulting to generic patterns - Version control set up properly, so nothing is ever lost and any mistake can be rolled back - A safe place to test changes before they touch the live service - A simple, reliable way to deploy updates to production once I'm happy with them - A recorded handover session and a one-page cheat sheet, written for someone who is not a developer My setup: I'm on Windows. I currently have a few specifications i want the MVP to have. . Happy to share more privately. In your proposal, please tell me: 1. Which tools you'd set up for this, and why 2. Whether you've done this before. 3. How long it would take, and your price 4. What you'd need from me to start Thank you.

AI Bookkeeping Agent Developer (n8n, Xero, QuickBooks, OpenAI)

I run a UK accountancy practice and am looking to build an AI-powered bookkeeping workflow using n8n. The objective is not to replace bookkeepers, but to automate the majority of transaction coding while escalating uncertain items for review. The system should work with both Xero and QuickBooks and follow a client-specific "bookkeeping blueprint" which contains coding rules, VAT treatment, known suppliers and account mappings. The ideal outcome is a workflow that can automatically process a large proportion of bookkeeping transactions, ask questions when required, learn from responses and then complete the bookkeeping process. Preferred stack: n8n OpenAI and/or Claude Xero API QuickBooks API Microsoft 365 / Teams integration I am open to suggestions if there is a better architecture. Required Workflow 1. Transaction Retrieval Retrieve transactions from: Xero QuickBooks Potentially: Bank feeds Purchase invoices Sales invoices Receipts 2. Bookkeeping Blueprint The system should use a client-specific blueprint which we will provide for each client containing information such as: Chart of accounts VAT rules Known suppliers Director expense rules Payroll rules Account mappings Typical coding decisions Escalation rules 3. Transaction Classification The agent should: Categorise transactions Suggest nominal codes Suggest VAT treatment Provide a confidence score Record reasoning 4. Human Review Process When confidence is below a defined threshold: The system should generate a question and send it to a team member via: Microsoft Teams Email Other suitable option Example: "Payment of £127.50 to Amazon could relate to software, office supplies or equipment. Please confirm." 5. Wait for Response The workflow must pause and wait for a response. Once a response is received, the workflow should continue automatically. 6. Post Transactions After confirmation: Post transaction Update bookkeeping records Maintain audit trail 7. Learning Capability The system should store previous decisions so future coding improves. Examples: Supplier → account code Supplier → VAT treatment Common bookkeeping decisions User corrections I would like advice on the best approach for this. 8. Review & Exception Reporting Generate reports identifying: Uncoded transactions Duplicate transactions VAT anomalies Suspicious postings Items requiring review Important Requirements Audit trail Human-in-the-loop review Confidence scoring Scalable across multiple clients Secure handling of accounting data UK bookkeeping and VAT awareness Developer Requirements Please apply only if you have experience with: n8n AI agents or workflow automation Xero API QuickBooks API Accounting or bookkeeping workflows Bonus if you have: Worked with accountancy firms Built finance automation systems Experience with RAG/vector databases Experience with Microsoft 365 integrations Proposal Requirements Please include: Relevant examples of similar projects. Recommended architecture. Suggested tech stack. Potential risks or limitations. Estimated phase-based delivery plan. Whether you would use n8n or recommend an alternative, and why.

opportunity

Zendesk Help Centre & AI Agent Setup

VenoScorp is a UK-based gaming computer manufacturer and retailer (veno-scorp.co.uk), an Asus partner, selling direct to customers across the UK. We use Zendesk for customer support and want to turn years of ticket history into a proper self-serve help centre, then layer an AI agent on top to cut down repetitive tickets for both customers and staff. The problem We have thousands of historic Zendesk tickets and no real knowledge base. Every recurring question (order status, warranty, RMA/returns, build specs, shipping, troubleshooting) currently gets answered from scratch by an agent instead of being deflected by self-serve content or a bot. We want that fixed. Scope of work Phase 1 — Ticket audit & Help Centre build Review our Zendesk ticket history (thousands of tickets) and identify the most common customer and internal questions, complaints, and issues. Group these into clear categories (e.g. orders & shipping, warranty & RMA, technical support/troubleshooting, product & build specs, payments & returns, account issues). Write and structure a proper Zendesk Guide help centre from scratch: sections, categories, and articles in clear, UK-English, customer-friendly language. Cover both customer-facing content and, if useful, an internal-only section for staff (macros/process docs, common resolutions). Recommend whether any content should also live outside Zendesk (e.g. an FAQ page on veno-scorp.co.uk) and set that up if agreed. Phase 2 — Zendesk AI Agent Configure a Zendesk AI Agent (using Zendesk's native AI Agents / Answer Bot tools, or an approved alternative) that: Answers common customer questions automatically using the new help centre content. Helps internal staff quickly find answers/processes for handling tickets. Escalates/hands off to a human agent when it can't resolve something. Set up the triggers, intents, and article linking needed to make this actually deflect tickets, not just sit unused. Provide brief training/handover so our team can maintain and update it going forward. Deliverables A live, organised Zendesk Help Centre covering the top recurring ticket categories. A configured, working Zendesk AI Agent connected to that content. A short written summary of the ticket themes found and what was prioritised. Basic handover notes/documentation so we can update content ourselves after handover. Requirements Proven experience with Zendesk admin, Zendesk Guide (help centre), and Zendesk AI Agents/Answer Bot — please share examples or a portfolio. Strong written English; comfortable turning messy support tickets into clear help articles. Able to work independently, review large volumes of tickets efficiently, and prioritise the highest-impact content first rather than trying to cover everything. Bonus: experience in e-commerce, electronics/PC hardware, or gaming retail support. What to include in your proposal Relevant Zendesk help centre and/or AI agent projects you've delivered (links/screenshots welcome). Your proposed approach for triaging thousands of tickets quickly (tools, process, or scripts you'd use). A realistic timeline against the two phases above, and your fixed price for the full scope. Access We'll grant Zendesk admin/agent access to the successful freelancer for the duration of the project. NDA available on request given this involves customer data.

opportunity

AI-Powered Social Media Automation

AI-Powered Social Media Automation About the Project We are looking for an experienced AI Automation + Social Media Content Specialist to build a complete social media automation system for our organisation. The goal is to create a largely automated social media engine that regularly researches topics, creates engaging content, generates Reels/Short Videos/Carousels, and schedules/publishes content across our social media channels with minimal manual effort. What We Need We need someone who can design and implement the complete workflow from content research → AI content creation → video/creative generation → approval → scheduling → publishing → analytics. The system should be scalable and easy for our internal team to manage. Platforms The solution should support, where technically feasible: Instagram Facebook LinkedIn YouTube Shorts X/Twitter WhatsApp/other relevant channels Deliverables The successful freelancer should deliver: Complete AI social media automation workflow Automated content research AI content generation AI Reel/Short video generation Branded creative templates Content calendar Approval dashboard/workflow Social media publishing automation Analytics tracking Documentation and setup instructions Handover/training for our team Important We are not looking for someone who simply writes social media posts using ChatGPT. We are looking for a freelancer who can design and implement the complete automation infrastructure so that our organisation can consistently produce and publish high-quality content with minimal manual work. The system should be reliable, scalable, maintainable and easy for a non-technical team to operate. Proposal Requirements Please include: Examples of similar AI/social media automation systems you have built Tools and technologies you recommend How you would automate Reels/Shorts Which social media APIs/platforms you have integrated Proposed architecture/workflow Estimated timeline Estimated total cost Ongoing maintenance requirements We would strongly prefer someone who can take end-to-end ownership of the project rather than provide only individual components.

opportunity

Monday.com Business Process Automation

I need a freelancer who understands how to build process automations in Monday.com to help me onboard to Monday.com and build a project management automated workflow.

AI system needed for trial preparation

Objectives Create offline AI model that can interrogate a statement for hearing. The model then compares opposing party statements and checks for inconsistencies, gaps. The model should be able to then check the statements by reference to the law online through internet and public legislation and cases and check whether statements are strong or weak on legal principles. Privacy priority so uploaded materials should never be sent to cloud or online.

AI Agents Creation and Deployment Workshop

Hi, We are looking for a freelancer/trainer who can conduct an AI workshop for our team, specifically focused on AI Agent Creation and Deployment. Our team has limited technical knowledge, so we need someone who can teach from the basics in a simple, practical and easy-to-understand way. We would like the training to cover: Understanding AI Agents and how they work How to identify tasks that can be automated using AI Agents Creating AI Agents using available AI tools Building AI Agents with minimal/no coding where possible Connecting AI Agents with business tools and workflows Practical AI Agent use cases for Marketing, SEO, Customer Support, Sales and Operations How to test, use and deploy AI Agents Hands-on training where the team creates a simple working AI Agent Guidance on how the team can continue creating and using AI Agents after the training We are looking for practical training rather than a purely theoretical workshop. Please share your experience in AI Agent training, workshop structure, duration, availability and pricing. Also, please share examples of AI Agents or corporate training you have previously worked on, if available. Thank you.

Make.com and OpenAI

I’m looking for an AI automation specialist to build a practical workflow using Make.com and OpenAI. I want to automate a repetitive business process that currently requires manual work. What I need: Make.com automation workflow OpenAI integration Trigger and action configuration Custom AI instructions/prompts Connection to the required business applications Data processing and workflow logic Error handling where appropriate Testing with real sample data Clear explanation of the completed workflow The exact workflow will be discussed with the selected freelancer. I’m open to recommendations if there is a better way to structure the automation. The ideal freelancer should have experience with Make.com, OpenAI API, webhooks and third-party integrations. Please provide examples of AI automations you have built and explain briefly what was automated. Deliverable: A tested Make.com + OpenAI automation that performs the agreed business process reliably.

opportunity

Zendesk AI Customer Support Expert Needed

We are looking for an experienced AI / Zendesk / Customer Support Automation specialist to help us turn our historical support data into a comprehensive knowledge base and AI-powered customer service system. Phase 1 – Analyse Zendesk History We have thousands of historical customer conversations in Zendesk. We want these analysed to identify and categorise: - Common customer questions - Technical support & PC troubleshooting - Order and delivery enquiries - Returns, collections & refunds - Warranty enquiries - Cancellations - Damaged/missing items - Marketplace enquiries - Common responses from our team - Complaints & escalations - Situations requiring human intervention The objective is to extract the valuable knowledge contained within years of real customer conversations and convert it into structured, reusable company knowledge. Phase 2 – Build Our Knowledge Base We want a properly structured internal knowledge base covering our products, policies, procedures, troubleshooting and customer service processes. We DO NOT simply want thousands of previous responses copied into a database. Information should be reviewed, consolidated and structured so AI can reliably understand: Customer Question → Relevant Company Knowledge → Correct Recommended Response Where historical answers conflict or company policy is unclear, these should be flagged for our team to review rather than AI making assumptions. This knowledge base should become the central source of truth for both our staff and AI. Phase 3 – AI-Assisted Zendesk Responses We then want AI integrated into our Zendesk workflow. Initially, AI should draft responses rather than automatically send them: Customer Email → AI Analyses Ticket → Searches Knowledge Base → Reviews Relevant Context → Drafts Response → Agent Reviews/Edits → Send AI should also learn our preferred customer service tone/style from approved examples. Accuracy is extremely important. AI must be grounded in approved company knowledge and must not invent policies, warranty information, technical instructions or promises to customers. Clear rules should determine when AI can confidently assist and when a ticket requires human escalation. Phase 4 – Further AI & Automation We also want you to identify other opportunities to automate our customer service operation, including: - Automatic ticket classification/tagging - Intent & priority detection - Complaint/sentiment detection - Suggested macros/responses - Ticket summarisation - Chargeback/dispute detection - Urgent order/delivery detection - Technical support routing - Repeat-contact identification - Automatically requesting missing information - AI troubleshooting assistance - Suggested follow-up questions - Quality checking agent responses - Reporting on common contact reasons - Identifying recurring product faults/issues We would eventually like to investigate extending the system to assist with Amazon, eBay and Temu customer messages, subject to available APIs/integrations. Important We are NOT looking for someone to simply connect ChatGPT to Zendesk. We want someone capable of understanding our business, analysing historical data and designing a reliable, scalable AI customer service infrastructure. We are open to Zendesk's native AI capabilities, OpenAI/LLMs, RAG, vector databases, APIs and third-party automation platforms. We want the successful applicant to recommend the best architecture rather than us dictating the technology. Experience We're Looking For Ideally you will have experience with: - Zendesk & Zendesk APIs - OpenAI / LLM integrations - RAG & AI knowledge bases - Vector databases / semantic search - Customer support automation - E-commerce customer service - API/workflow automation - Prompt engineering & AI evaluation - GDPR/data privacy Previous experience building AI customer service systems from historical ticket data is highly desirable. When Applying Please explain: 1. Your Zendesk experience. 2. Similar AI customer service systems you have built. 3. How you would analyse thousands of historical tickets. 4. How you would structure our knowledge base. 5. How you would integrate AI-generated drafts into Zendesk. 6. How you would minimise hallucinations/incorrect responses. 7. Your recommended technology/architecture. 8. Any Amazon/eBay/marketplace integration experience. 9. Estimated timeframe and approach. Please provide examples of similar projects where possible. Our Goal We want to create an AI customer service co-pilot that helps our team respond faster and more consistently while maintaining human oversight. The system should reduce repetitive work, preserve our accumulated company knowledge and allow customer service to scale with our sales volume. If successful, there will likely be ongoing work maintaining, improving and expanding the system.

Agent for blog content creation seo optimised

I'm looking for someone who can help to create an seo spécialised agent to create blog content in eeat /geo Each content must be written in french and mist include geo optimisation for llm Thematics : professional training

Build an Intelligent AI Agent for Automated Inventory Management

We are looking for an experienced AI developer or automation expert to design and deploy a custom AI agent tailored for real-time inventory management. The goal is to automate tracking, optimize stock levels, and reduce manual workload across our supply chain. Key Responsibilities: Develop an AI agent that monitors inventory levels in real-time across channels/warehouses. Implement predictive capabilities to forecast demand, prevent stockouts, and flag overstock risks. Create automated alerts and triggers for automated purchase order drafting when stock falls below reorder thresholds. Integrate the AI agent with our existing system (e.g., Shopify, QuickBooks, Custom ERP, or database). Required Skills: Proven experience building custom AI agents (using frameworks like LangChain, AutoGen, or similar). Proficiency in Python, API integrations, and database management (SQL/NoSQL). Background in supply chain, inventory management systems, or e-commerce integrations.

N8N Agents

I run an accounting practice and looking at developing agents to help with 3 areas. I'm not alien to how agent works and initially looking at setting this up as there are base templates I can use to start as a base before customising but I thought I see if someone can do it so I focus on other things. 1. Email - handling my outlook inbox. Categorising, draft responses and email sent to me summarisin things to focus on, outstanding etc 2. Bookkeeping - Xero/Quickbooks - pulliing unreconciled transactions, categorising based on blueprint, attempting other transactions and sending those to team via email with questions. Once confirmed and approved, post to Xero/Quickbooks via API intergrations. 3. Lead Gen - scaping ICP, qualifying them, identify angle of approach to win business. Run periodically and send to me via email or any other recommended medium. I want to start using Hubspot so could be there.

opportunity

Website search and extract/compare agent

i want to develop Ai agents that will log onto a list of websites (approx 80) and run a set of searches daily. i need them to then compare one days results against the other and then only present me with new listings that weren't thre the day before. if the results could be presented on Dashboard or Claude Artifact that lets me then click and see the source listing that is also important i use Claude, i have login details for every website but we will need to counter captcha forms etc. im happy to run it from Clause Chrome Browser but my input should be minimal. APIs have not worked neither has scraping i have tried this project every way except AI websites include ebay (global search) ebay.de in particular catawiki reddit vinted cragislist etc

Automated ai lead generation

Request for Quotation (RFQ) ​Project Title: Automated AI Lead Generation & Qualification Engine (Pre-Owned Vehicles) Target Throughput: System built to handle high-volume acquisition supporting 30+ completed vehicle sales per month Core Tech Stack: Make.com, AI Processing (Gemini / OpenAI), Web Scraping / Lead Capture, CRM & Outreach Engine (Instantly / WhatsApp / CRM) ​1. Project Overview & Objective ​We are launching an automated lead acquisition and qualification engine for a pre-owned vehicle operation in South Africa. Our goal is to achieve 30 completed vehicle sales per month. ​To support this volume, we need an end-to-end automated workflow that captures inbound vehicle inquiries (buyers and sellers), enriches and validates lead data, scores intent using AI, and routes qualified leads into an automated outreach and CRM pipeline. ​We are seeking an experienced Make.com & AI Automation Specialist to architect, build, test, and deploy this complete system. ​2. Scope of Work ​Phase 1: Lead Capture & Web Scraping ​Set up automated web and social scraping workflows (using tools like Browse AI, Apify, or Meta Lead Ads API) to extract incoming vehicle buyer and seller leads. ​Capture inbound submissions from web forms, landing pages, and external vehicle listing platforms. ​Phase 2: AI Lead Enrichment & Filtering (Make.com + AI) ​Build Make.com scenarios integrated with Gemini/OpenAI API to: ​Parse, clean, and format raw contact details (normalizing South African phone numbers, names, locations). ​Filter and score incoming leads based on buying/selling intent (vehicle preference, budget, urgency, financing readiness). ​Auto-filter junk or incomplete leads to keep the pipeline focused on high-converting prospects. ​Phase 3: Automated Personalization & Outreach ​Set up instant multi-channel response triggers (Email / WhatsApp API / SMS) ensuring speed-to-lead response times under 2 minutes. ​Generate contextual AI-personalized messaging based on specific vehicle models, buyer requests, or seller submissions. ​Connect scored leads to email/outreach platforms (e.g., Instantly.ai or automated messaging sequences). ​Phase 4: CRM Pipeline Integration ​Sync all processed leads automatically into a central CRM (HubSpot, GoHighLevel, or Airtable). ​Set up pipeline stage tracking from New Inbound → AI Qualified → In Progress → Closed / Completed. ​3. Key Deliverables ​Fully Automated Make.com Scenarios: Modular scenarios connecting lead capture, AI enrichment, and CRM destination. ​AI Lead Scoring System: Prompt architecture for automated lead classification and filtering. ​Outreach & CRM Sync: Seamless routing into cold email outreach / CRM pipelines. ​Handoff Documentation: Brief video walkthrough and technical documentation for scenario management. ​4. Required Freelancer Skills ​Advanced proficiency with Make.com or n8n multi-step scenarios. ​Hands-on experience integrating OpenAI / Gemini APIs via HTTP/REST nodes. ​Familiarity with lead scraping tools (Browse AI, Apify) and CRM APIs. ​Strong understanding of email deliverability, WhatsApp API tools, and pipeline management. ​5. Submission Requirements ​Please reply with your quotation including: ​Technical Architecture: Proposed tools and high-level Make.com scenario structure. ​Pricing Structure: Fixed setup/implementation fee (plus optional monthly maintenance retainer). ​Estimated Timeline: Total days required for development, testing, and deployment. ​Portfolio: 1–2 examples of previous lead generation or Make.com automation workflows built.