Phoenix - Your AI AssistantAI Agent Development Projects
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AI Agent Architect (Claude + n8n)
About us We're a UK manufacturer of industrial PVC products (spray booths, partition systems, curtains). Small team, 15 people, and I run it. I'm technical, I've got the basics of Claude down, and I've already built working automations. I'm not starting from zero. What I'm building A team of AI agents that runs our web presence semi-autonomously: Individual agent profiles and agendas built inside Claude, each with its own remit (SEO, Google Ads, CRO, content, design) Agents monitor ongoing SEO performance, paid search, and conversion rate, then adjust content and build new pages off the back of what they find A manager agent I speak to directly. It takes input from the specialists, then allocates the work Our full website is being rebuilt in Claude Design at the same time What I need from you This is a teaching engagement, not done-for-you. I want to be able to run and extend this myself once we're finished. Start with a 1 to 2 hour screenshare. You review how I'm currently using Claude, tell me what I'm doing wrong, and help me think through the agent architecture properly If that goes well, ongoing hourly support through the rest of the year You should be strong on Claude (projects, skills, MCP, tool use, agent orchestration patterns) n8n or equivalent workflow tooling Connecting agents to real data sources: GA4, Google Ads, Search Console, HubSpot Knowing where autonomy breaks and what needs a human gate How to apply Skip the generic pitch. Tell me how you would actually build this. Specifically: How you'd structure the manager and specialist agents, and how they pass work between each other Where you'd hold shared state and context so agents aren't working blind What you'd let run autonomously versus what you'd gate for approval, and why One thing you think I've got wrong in the description above Applications that don't answer those four won't get a reply. Details Rate: £30-£50 per hour Hours: roughly 5-10 per week to start Timezone: UK-based
Full Stack AI Developer for Healthcare SaaS
Seeking an experienced Full Stack AI Developer to build a production-grade Healthcare SaaS leveraging LLMs, RAG, and AI agents. Responsibilities: design end-to-end architecture, implement contextual AI chatbot, develop RAG pipelines for healthcare documents, build agent tooling and workflow automation, secure backend APIs and authentication, and create a responsive React/Next.js frontend. Required expertise: Python (FastAPI), LLMs (OpenAI or equivalents), LangChain/LlamaIndex/LangGraph, vector DBs (Pinecone, Weaviate, Chroma, FAISS), and cloud deployment (AWS/Azure/GCP). Healthcare product experience and demonstrated RAG/agent projects are highly desirable.
AI Engineer / NLP Engineer for an AI BF/GF Product
We are launching a product in the AI romantic companions / AI BF/GF niche and need a specialist to take over the AI development part. The website, registration, design, menu and payment system are handled separately. This role focuses only on the AI core: dialogue models, AI characters, memory, user adaptation, realistic image generation and MVP AI architecture. Required skills LLMs for conversational AI products. Testing and comparing open-source and commercial models. Llama / Hugging Face / vLLM / Text Generation Inference. System prompts for AI characters. Prompt engineering, fine-tuning and LoRA. Memory layer design: mem0, Qdrant, embeddings, RAG. Python, Docker, PostgreSQL, Redis. GPU infrastructure and model deployment. AI image generation: FLUX.1 / Stable Diffusion / ComfyUI. Consistent face setup for AI characters. Moderation / safety filters for AI dialogues. Tasks Select and test LLMs for romantic AI dialogues, set up AI characters, design user memory, plan adaptation to the user’s communication style, and suggest a pipeline for realistic AI selfies. Experience with AI companions, dating, chatbots, virtual characters, roleplay scenarios or conversational AI is a plus. The candidate should be ready to complete a short test task. Please include your stack, relevant experience, project examples, readiness to complete the test task and your rate / estimated project cost.
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AI-Powered Deal Origination & Opportunity Intelligence Platform
Overview Build an MVP AI-powered deal origination and opportunity intelligence platform to identify UK private company acquisition, succession, refinancing and distressed opportunities. The platform should analyse public company data, identify high-probability opportunities, enrich decision-maker information, generate AI reports and support targeted outreach. This is an MVP validation project requiring a fast, practical build with scalable foundations, not an enterprise solution. Core Objectives The platform must: • Collect company/director data • Analyse and score opportunities • Identify decision makers • Enrich contacts • Generate AI intelligence reports • Create outreach recommendations • Store opportunities in CRM • Maintain continuously updated pipelines Data Sources Required: • Companies House API • Gazette Insolvency Feed • Company websites • Public web research Preferred: • LinkedIn enrichment • Contact providers • News feeds • Business directories Future: Planning data, Land Registry/property ownership, email automation, workflows, dashboards, additional providers and AI agents. Functional Requirements 1. Company Intelligence Engine Retrieve, store and update: • Company name, number, address and SIC codes • Filing history, accounts and charges/mortgages • Directors and shareholders where available • Insolvency notices and Gazette events • Website and content summaries Maintain structured profiles for each company. 2. Opportunity Scoring Engine Core IP component. Must be configurable, AI-independent and adjustable without code changes. Required: • Weighted and rule-based scoring • Score explanations • Confidence ratings Scores: Acquisition: revenue, EBITDA/profitability, growth, recurring income, sector attractiveness, leverage. Succession: director age, ownership length, ownership concentration, management depth, succession indicators. Refinancing: lender charges, debt profile, leverage, property ownership, maturity indicators. Distress: insolvency notices, winding-up petitions, director resignations, overdue filings, negative trends. Probability of Sale: founder age, ownership duration, succession indicators, growth plateau, market conditions. Example: Sale Score: 86/100 Reasons: • Founder age estimated 67 • Sole shareholder • 24 years ownership • Stable profitability • No succession structure identified AI explains scores; scoring remains framework-driven. 3. Contact Enrichment Identify/store: • Founder, CEO, Managing Director, shareholders • Email, telephone, website, LinkedIn • Decision-maker information Supports future outreach and relationship development. 4. AI Intelligence Briefs Generate for high-ranking opportunities: Company Summary: Business description, financial overview, strengths. Opportunity Summary: Selection rationale, engagement potential, strategic rationale. Engagement Angle: Succession planning, growth capital, partnership, acquisition or refinancing 5. CRM MVP CRM must support: • Opportunity storage • Search/filtering • Notes and comments • Status tracking • Outreach tracking • Score history Workflow: Identified → Qualified → Contacted → Conversation Started → Active → Mandated → Closed 6. Outreach Intelligence Generate/store: • Personalised emails • LinkedIn messages • Telephone briefs No automated sending required AI Architecture Use model-agnostic architecture that remains operational if providers change Support: OpenAI, Anthropic Claude, Google Gemini, Meta Llama, DeepSeek, Qwen and future providers Admin controls: • Select AI provider • Change providers without code changes • Configure API keys • Add models Scoring must remain independent of AI Technology Backend: Python, FastAPI Database: PostgreSQL, Supabase Frontend: React, Next.js Infrastructure: AWS, Vercel, Supabase AI: Provider-agnostic APIs with future agent support Scalability Support future: • Multi-agent workflows • AI orchestration/MCP • Additional APIs • Email and workflow automation • Large-scale analysis • Advanced reporting Future integrations: CRM systems, enrichment providers, email systems, Land Registry, planning/property/commercial intelligence sources Dashboard Provide a simple user-friendly dashboard for non-technical sales/outreach users with navigation, opportunity views, filtering, pipeline management and AI insight access Deliverables • Working MVP • Source code • Deployment instructions • Technical documentation • Configurable scoring engine • CRM • Company intelligence engine • Contact enrichment • AI opportunity reports • Outreach generation • User administration • Large-scale UK company analysis capability Proposal Requirements Include: • Relevant examples • Architecture • Technology stack • Cost estimate • Delivery timeframe • Support options • MVP improvements Budget Open to proposals. Preference for developers experienced in AI intelligence platforms, CRM systems, API integrations and scalable MVP delivery rather than enterprise builds
Past Projects
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AI-powered dispatch and customer service assistant
PROJECT: AI Assistant for TaxiCall Platform Overview TaxiCall is a cloud-based taxi booking and dispatch platform written primarily in ASP.NET WebForms (VB.NET) with a Microsoft SQL Server backend. The objective is to develop an AI Assistant that can access TaxiCall operational data and assist drivers, operators, and customers through natural language interactions. Initial Requirements The AI Assistant should be able to: Query booking information from the SQL database. Answer questions about customers, bookings, drivers, vehicles, and jobs. Create and amend bookings through controlled workflows. Search historical bookings and call records. Provide business reports and summaries. Assist operators with dispatch decisions. Provide customer support through web chat and mobile apps. Potentially support voice interactions in a later phase. Current Technology Stack Frontend: ASP.NET WebForms VB.NET JavaScript jQuery Bootstrap jQuery Mobile Backend: Microsoft SQL Server Stored procedures and direct SQL queries Existing web services (ASMX) Mapping / Tracking: Google Maps APIs Google Directions APIs OpenLayers mapping components Vehicle GPS tracking data Existing Functionality The system currently manages: Customer accounts Driver accounts Vehicle details Immediate bookings Advance bookings Dispatching Route calculations GPS vehicle tracking Driver availability Call recording references Fare calculations Customer mobile app Driver mobile app Database Access Required The AI agent will require read access initially to: Customers Drivers Vehicles Bookings GPS locations Call history Later phases may require write access for: Creating bookings Editing bookings Driver allocation Customer notifications Preferred Architecture Phase 1: OpenAI API Python backend SQL Server connectivity REST API layer Phase 2: Integration into TaxiCall web applications Customer-facing chatbot Driver-facing assistant Voice support Existing Code Available Relevant code exists for: Booking creation Customer booking screens Driver allocation Route mapping Vehicle tracking SQL database access Examples can be provided once the project starts. Deliverables Required Proof-of-concept AI assistant connected to SQL Server. Secure database query layer. Natural language booking search. Booking summary and reporting functions. Documentation and source code. Deployment guidance. API credentials, database credentials and server access will be provided after selection of the developer.
Automate Project Report
I have a pro copilot licence which is connected to my emails and also connected to sharepoint. I want it to go through my emails, and then collate project status. So it will collate top 3 risks, top 3 issues, actions completed over the last2 weeks, and list any actions for the next 2 weeks. It will then output this in a Project Report template stored on excel. I also run a JET report, which gives up to date finances. This is an extension on microsoft excel. So I want it to input the project number, wait for it to finish running then take the finances and paste it into the project report document. Can someone automate all this please
AI Agent Builder / Automation Specialist
We are looking for an experienced AI automation specialist to help implement the first phase of an AI-powered business management system. Most of the planning, workflows, business processes, reporting requirements, and agent roles have already been defined. We now need someone who can help turn those plans into working AI agents and automations. ## Scope Initial phase will focus on: * Building a small number of AI agents * Connecting agents to existing systems * Creating automated reports * Building simple workflows between systems * Setting up dashboards and management reporting Examples of agents include: * Revenue Agent * Inventory Agent * Customer Agent * Finance Agent * Reporting Agent ## Existing Systems We currently use: * PrestaShop * Shopify * Inventory management software * PayTabs * Google Workspace * WhatsApp Business ## Ideal Candidate You should have experience with: * AI agents * ChatGPT * Claude * Automation workflows * APIs * Ecommerce systems * Reporting dashboards You do not need to be an enterprise consultant. We are looking for someone practical who can help us build and test a working pilot. ## To Apply Please provide: 1. Examples of AI agents or automations you have built. 2. Tools and platforms you typically work with. 3. Brief explanation of how you would approach a project like this. 4. Your estimated availability. This project will start as a small pilot phase with the possibility of ongoing work if successful.
AI Systems Architect & Multi-Agent Automation Specialist
Project Overview We are seeking an experienced AI Systems Architect to help design and implement a business intelligence and automation platform for a growing group of ecommerce, wholesale, retail, and distribution businesses operating across multiple channels. This is not a chatbot project. We are building an AI-powered operational framework that combines business intelligence, workflow automation, reporting, customer intelligence, inventory intelligence, procurement planning, and executive decision support. The successful candidate will help us move from architecture and planning into technical implementation. Scope of Work We have already completed a significant amount of business analysis, workflow design, reporting frameworks, KPI structures, CRM architecture, inventory architecture, and operational process mapping. We are now looking for a specialist to assist with: AI Architecture Multi-agent system design Agent orchestration Agent communication workflows AI governance frameworks Data Integration Integrating multiple business systems including: Ecommerce platforms ERP / inventory systems Payment gateways CRM systems Reporting systems Communication platforms Business Intelligence Development of: Executive dashboards Daily reporting Weekly reporting Monthly reporting KPI monitoring Performance scorecards Operational Automation Workflows covering: Customer management Inventory management Procurement Order management Quotations Pre-orders Finance reporting Performance tracking Ideal Experience We are looking for someone with proven experience in one or more of the following: AI Agent Architectures Multi-Agent Systems Workflow Automation Business Intelligence Platforms ERP Integrations CRM Design Ecommerce Integrations API Design & Integration Executive Reporting Systems Operational Dashboards Experience with AI tools such as: Claude ChatGPT Gemini is highly desirable. Preferred Technical Skills Examples include: API Development Python Node.js Database Design Dashboard Development ERP Integrations Ecommerce Platforms Workflow Automation Platforms We are open to recommendations regarding technology stack and implementation approach. Phase 1 Deliverables Initial engagement will focus on: Technical Architecture Review AI Agent Framework Design Integration Architecture Data Flow Design Reporting Architecture Executive Dashboard Specification Implementation Roadmap What We Are Looking For We are not looking for someone who only writes prompts. We are looking for someone who understands how to design and build operational systems that combine: Data Automation AI Agents Reporting Business Processes into a cohesive platform. To Apply Please include: Examples of relevant projects Multi-agent or automation projects you have implemented Business intelligence or reporting systems you have built ERP, CRM, or ecommerce integration experience Your recommended approach for implementing a scalable AI-powered business operating system Engagement We prefer to begin with a paid discovery and architecture phase before moving into implementation. This project has long-term potential for the right consultant and may evolve into an ongoing technical advisory and development engagement.
IT/CRM/AI Support – Pipedrive, Microsoft 365, Copilot & ChatGPT
We are looking for a highly IT-savvy freelance subcontractor to support our business on a flexible, ad hoc basis through the PeoplePerHour platform. This is not a full-time role, but we are wanting consistency by using the same person. We are looking for someone we can call on as required to help with practical systems support, staff training, workflow improvement and AI/automation setup across our business. About the support we need: We are currently reviewing how we manage enquiries, quoting, sales orders and internal workflows across our systems. This includes work around Pipedrive CRM, Microsoft 365, Microsoft Copilot, ChatGPT and possible AI-assisted quoting or CPQ-style processes. One specific project involves assessing how we can improve our quoting workflow, including how information may move between Pipedrive, our existing business management system and other tools. We need support with API-related discussions, workflow mapping, AI agent setup, user training and practical implementation. Essential Key skills required - The ideal person will have strong hands-on experience with: Pipedrive CRM setup, configuration and user training Microsoft 365, including Outlook, Teams, SharePoint, OneDrive and general business productivity tools Microsoft Copilot and Copilot agents ChatGPT and custom GPT / AI agent configuration Setting up practical AI assistants or agents for business users CRM process improvement and sales workflow optimisation Supporting non-technical staff with clear, practical IT guidance Helping businesses make better use of existing software tools Experience with quoting systems, CPQ tools, API-based integrations or ERP/business management systems is essential. Typical tasks may include: Helping us improve how our team uses Pipedrive Training staff on better CRM usage and sales pipeline management Setting up AI agents in Microsoft Copilot and ChatGPT Advising on how AI can support quoting, sales admin and internal processes Reviewing current workflows and suggesting practical improvements Supporting Microsoft 365 users with day-to-day productivity improvements Helping define requirements for integrations, quoting tools or CPQ solutions Working with internal team members and external software providers where needed Producing simple guidance notes, templates or training material for staff The type of person we are looking for: We need someone who is practical, commercially aware and comfortable working with business users who may not be technical. You should be able to listen to how we currently work, understand the business problem, and recommend sensible, workable solutions rather than overcomplicating things. You must be confident working independently, but also happy to explain things clearly to staff and management. You must be patient, and willing to help staff by talking through step-by-step what to do to set up AI agents, and assist them along while they do it themselves. Important requirements: Please only apply if you have genuine hands-on experience with Pipedrive, Microsoft 365 and both AI tools (Microsoft Copilot and ChatGPT). We are especially interested in someone who can help us turn AI tools into practical business support, not just talk about AI in general terms. Engagement: This will be on an ad hoc subcontract basis. Work may vary from short support sessions and staff training through to project-based assistance with CRM, quoting workflows, AI agents and system improvements. Please include in your response: Your experience with Pipedrive Your experience with Microsoft 365 and Copilot Examples of AI agents, custom GPTs or similar tools you have configured Any experience with quoting systems, CPQ, APIs or CRM integrations Your hourly or day rate Your general availability for ad hoc support
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WhatsApp AI Maintenance Bot
We're a growing UK lettings agency and want to automate our maintenance intake using WhatsApp and AI. How it works: tenant WhatsApps an issue, the AI asks smart follow-ups, logs the job with a reference number, notifies our team, and posts directly into our CRM automatically. Runs 24/7 with no manual intervention. We've thought through the stack — Twilio, Make.com, Anthropic Claude API, and our CRM (which accepts submissions via a webhook endpoint). Accounts and API keys will be ready when you are. We're open to platform recommendations but mainly want someone who has done this before and can build it cleanly and hand it over. What we need from you: — Make.com experience (please share an example of something you've built) — Twilio or messaging API experience — Experience with an AI API (OpenAI, Anthropic or similar) — Available to start within the week Deliverables: working end-to-end system, error handling, a short handover walkthrough for our non-technical coordinator, and brief written docs. To apply: 2–3 sentences on relevant experience, one example of an automation you've built, your fixed price, and your earliest start date.
Build AI Lead-to-Voice Routing System (Make.com/Twilio)
Seeking an automation specialist to build a seamless AI lead-to-voice routing system using Make.com and Twilio. Deliverables: a web form for businesses to request a call; automated outbound Twilio calls that bridge each lead instantly to my mobile; logging of all submissions into a Google Sheet. Objective: a reliable "Speak to Human" button that connects leads to my phone immediately. Must be implemented with no-code tools and prior Make.com/Twilio experience is required. Fixed budget R2,000.
AI Trainer
We are delivering large-scale global Virtual Instructor-Led Training (VILT) programs focused on Artificial Intelligence and Generative AI technologies for enterprise teams across multiple regions and business functions. The project involves designing, customizing, and delivering high-impact AI learning programs for technical and non-technical audiences, enabling organizations to adopt AI-powered workflows, modern development practices, and emerging AI tools effectively. Trainers and Subject Matter Experts (SMEs) will work on: Delivering live virtual AI/GenAI training sessions for global enterprise teams Creating and adapting training content, labs, demos, and practical use cases Training participants on technologies such as Generative AI, Machine Learning, RAG, Agentic AI, Claude Code, Codex, Copilot, Kiro, Cloud Code, Data Engineering, and Cloud Architecture Demonstrating AI-enabled development workflows and real-world enterprise AI implementations Supporting capability building initiatives across multiple geographies and languages Conducting interactive sessions, hands-on exercises, workshops, and knowledge assessments Enabling organizations to understand the evolution, adoption, and future impact of AI technologies The engagement requires professionals with strong technical expertise, enterprise training experience, excellent communication skills, and the ability to independently manage virtual learning environments for global audiences.
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GoHighLevel AI Voice Workflow Specialist
Hi, I am looking for an experienced GoHighLevel workflow builder who has genuine experience with Voice AI and more advanced automation systems. We’re building an outbound AI calling system for our AI consultancy that targets UK estate agencies. The foundations are already partially built, but we now need someone to properly structure, optimise and complete the workflows. The project includes things like: * outbound AI calling flows * callbacks and follow-ups * tagging/routing logic * reminders and no-show handling * long-term reactivation flows * CRM/pipeline movement * automated SMS/email actions There’s also a more advanced version of the build we may explore where one AI voice agent can transfer a live call to another AI voice agent and then back again, so experience with GoHighLevel Voice AI is important. We’re not looking for someone to just throw together basic workflows. We need someone who understands clean architecture, scalability and how to keep complex GHL systems stable and manageable long term. If you’ve worked on similar Voice AI or advanced GoHighLevel automation projects before, send over: * relevant examples * your experience with GHL Voice AI * and your thoughts on the best way to structure something like this.
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OpenClaw and CODEX Agent / Automation Setup
I am looking for an experienced AI automation developer to help build a business agent and automation system across two main areas: 1) OpenClaw agent setup 2) Codex / automation workflows This project is focused on setting up AI agents and structured automations for business operations, research, email triage, reporting, Airtable-based workflows, RSS ingestion, Gmail integration, Telegram agent access and Formstack webhook-triggered outputs. I have already written the core agent descriptions and automation requirements. I will provide the selected freelancer with the agent overviews, required skills/tools from ClawHub, Cron job schedules, markdown instruction files, Airtable token links and intended outputs for each agent or automation. OpenClaw For the OpenClaw part, I have around 9 agents to create. These need to be hosted on a Hostinger VPS using Docker/OpenClaw, which is already live. The agents need to be configured, connected to Telegram, connected to the relevant Airtable bases, tested and set up so they can run as intended. Some agents will need to generate email reports, one may need permission to send outbound emails, and another will need to use an EmailHunter-style API. There are two people for whom the OpenClaw agents are required. For the first person, there are around 6 agents, including an Executive Assistant Agent, Website Research Agent, Network Agent and other business/research/reporting agents. For the second person, there are around 3 agents, also connected to Airtable. One of these should be able to process around 20-30 RSS feeds, add relevant items to Airtable or another suitable database, and generate a daily market report. For OpenClaw, I will provide: *Agent name and overview *Whether each agent is a master agent or sub-agent *Skills required *Any special skills that need to be created *The specific Airtables to use/update *Cron jobs *Markdown files of information *Any files to provide to the agent, such as PDFs or training materials Codex / Automation Workflows For the Codex/automation part, I have around 20 workflows/projects to create. Around 17 are for me personally and around 2 are for colleagues. The colleague workflows involve email triage from separate business Gmail accounts, so each mailbox needs to remain fully separate with its own OAuth/token access and knowledge context. The workflows must not mix users, emails or data between accounts. For my own workflows, the automations will mainly review Airtable data using Airtable Personal Access Tokens, generate scheduled business reports, triage Gmail, create draft outputs and send email summaries. Some automations may recommend or make Airtable updates, but sensitive actions should have approval gates rather than being applied automatically. Email triage should draft or report only, not send emails automatically unless specifically approved. Some of the workflows are slightly more complex. These include ingesting around 20 RSS feeds and writing a business opportunities report, using RSS feeds to draft LinkedIn posts, receiving a Formstack webhook and creating call notes, follow-up outputs and analytical reports, and receiving Formstack submissions with attached data to produce analytical market research reports. The webhook workflows may need n8n or a similar tool to receive and route the data before passing it into the AI workflow. Ideally, I would like generated reports to be consolidated into one email where possible, although I understand this may depend on the final architecture. For Codex/automation workflows, I will provide: *What each automation does *When each automation should run *What the output should be *Airtable links to update/review, where required *Emails to be sent from the automation and when *Email accounts to review/triage, where appropriate *RSS feeds, where required *Webhooks for two different forms What I Need From You Please provide a quote for setting up the OpenClaw agents and Codex/automation workflows above. I am looking for someone who can both implement the system and advise on the best technical approach. Finally, I will need a basic handover, including screen-recorded videos showing how the agents are set up, how markdown/instructions are updated, how Cron jobs are changed, how agents are tested, and how basic issues are diagnosed.
AI SaaS Platform
Build a production-ready AI SaaS platform using this as the foundation: https://github.com/stackblitz-labs/bolt.diy Do NOT create a basic clone. Transform it into a commercial AI platform similar to Bolt.new, Lovable, Brmej.ai, and Hercules.app. Stack: - Next.js - TypeScript - TailwindCSS - Node.js backend - PostgreSQL or Supabase - Clerk/Auth.js - Stripe - S3 or Cloudflare R2 Infrastructure: - Ubuntu 22 VPS - Docker + Docker Compose - Nginx - SSL - Monitoring - Backups - Security hardening - Production-ready scaling - Compatible with Hetzner, Contabo, OVH, DigitalOcean Core Features: - Multi-language (English + Arabic) - Responsive multi-screen support - Authentication - Subscriptions - AI chat - AI app builder - File analysis - Code generation - Conversation history - Token tracking - Deploy system - Project export system Create a fully dynamic Super Admin Dashboard where EVERYTHING is configurable without code edits. Admin must manage: - Users - Plans - Tokens - AI providers - AI models - AI services - Routing rules - Pricing - Usage limits - Deploy limits - Publishing permissions - Feature access AI Providers Management: Support: - OpenAI - Claude - Gemini - Groq - DeepSeek - OpenRouter - Mistral - Together AI - Fireworks - Ollama Each provider must support: - CRUD - API keys - Base URL - Priority - Fallbacks - Health monitoring - Usage/cost tracking - Retry/timeout settings - Model assignment - Enable/disable AI Models Management: Admin can manage: - Context length - Max tokens - Pricing - Reasoning/speed/quality levels - Vision/tools/files/coding support - Provider assignment - Limits - Status AI Routing Engine: Dynamic routing rules from admin panel: - Fallback providers - Budget routing - Fast-response routing - Reasoning routing - Automatic failover AI Services: Examples: - App Builder - SEO Writer - AI Agent - Code Generator - Landing Page Generator - File Analyzer Each service supports: - System prompts - Assigned models/providers - Temperature - Limits - Streaming - File/image support - Fallback models WebContainer/Sandbox: - Terminal - Live preview - npm install - Isolated environments - CPU/RAM limits - Abuse protection Deploy System: Support one-click deployment to: - Vercel - Cloudflare Pages - Netlify Include: - Deploy logs - Rollbacks - SSL - CDN - Environment variables - Custom domains Export System: - ZIP export - GitHub export - React Native/Expo export - Optional Flutter export Publishing Assistant: AI assistant that helps users: - Generate app descriptions - Privacy policy - Terms of service - SEO metadata - Store listing content - Publishing guidance for iOS & Android All limits/features must be configurable per subscription plan from admin dashboard. Deliver: - Clean scalable architecture - Full Docker setup - docker-compose - .env configs - Deployment docs - Production-ready code Include estimated development time and total project price.
Professional UX/UI Design for a New Project
I am looking for a professional UX designer to create a clean, modern, and user-friendly design for my project. The goal is to improve the user experience and ensure the interface is intuitive. Please share your portfolio and previous work examples.
Help me learn Cursor Ai
I am exploring Ai with my business and have a concept I want to create, I have tried to use Cursor by myself but struggling a bit, I am looking for someone to spend 1 hour with me on a screenshare and help me through the learning and building process of it, that can help explain the system to me, and show me how to use it.
Need to automate customer engagement workflows
Seeking an experienced automation specialist to design and implement streamlined customer engagement workflows. The project entails mapping current touchpoints, creating automated sequences for onboarding, nurturing, and re-engagement, integrating CRM and communication platforms, and establishing KPIs and monitoring. Deliverables include documented workflows, tested automations, error handling, and optimization recommendations to enhance retention and conversion efficiency.
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Build Automated AI WhatsApp Messaging ChatBot
What I Need Built: A system that connects Facebook leads to WhatsApp and automatically chats to them, qualifies them, and routes them correctly. Core Requirements: Lead Handling Facebook lead → instant WhatsApp message Fully automated first response Conversation (AI Bot) Talks like a normal, relaxed salesperson Not robotic or scripted Can handle natural replies Qualification Questions Bot must ask: What their business does What they need the setup for Whether they are currently spraying or outsourcing Current setup (if any) Size needed (height, width, length) Whether they care more about compliance or cost How established the business is Lead Segmentation Automatically split leads into: High quality → ready + serious Medium → interested but not ready Low quality → low budget / early stage Pricing Give indicative pricing ranges based on answers Ideally pull from a spreadsheet Ask if pricing matches expectations Route based on response Actions Based on Lead Quality High quality → send examples + book a call Medium → send case studies + follow up Low quality → give pricing + offer £99 DIY course Media Send photos of installs Send YouTube videos Send relevant examples based on answers Follow-Up Automatically follow up if no reply Must feel natural, not spammy Booking Book calls via calendar OR Allow manual takeover for good leads HubSpot Integration Must connect to HubSpot: Create/update contacts Store all answers Tag lead quality Move deals through pipeline Important (Must Answer in Application): How you will build this (tools/tech) How you will make it sound natural How you will handle pricing logic Examples of similar work Goal: Filter out bad leads Save time Increase conversions TO APPLY PLEASE EXPLAIN WHAT YOUR PROCESS WOULD BE TO DO THIS TO ENSURE I CAN UNDERSTAND YOU'RE ABLE TO DO IT. THE MOST IMPORTANT PARTS WILL BE THAT IT MUST STORE THE CHAT IN HUBSPOT USING ZAPIER AND ENGAGE WITH CUSTOMERS AUTOMATICALLY.