AI Services Projects

APP GAME 4 CHILDREEN

Interested in developing a game application for children. The content is ready. The application needs video, animation and conversations, and the construction of original characters. Within the application, you can choose different languages ​​such as Arabic and English. The application with login

Senior AI Developer /AI Automation Engineer (LLM, AI Agents,)

Job Overview: We are looking for an experienced AI Developer / AI Automation Engineer to design and build advanced AI applications, intelligent agents, and automation platforms similar to leading AI products for different industries.: • (AI-powered enterprise legal assistant) • (AI agent-based digital workforce platform) • (Generative AI business automation platform) • (AI analytics and marketing intelligence platform) These platforms leverage LLMs, AI agents, data pipelines, automation workflows, and API integrations to automate business operations, data analysis, marketing insights, and enterprise workflows. The ideal candidate should have strong experience in Generative AI, LLM development, AI agent frameworks, and automation systems. Key Responsibilities: 1. AI Application Development • Design and build AI-powered applications using LLMs • Develop AI agents capable of performing automated tasks • Implement retrieval augmented generation (RAG) systems 2. AI Agent & Workflow Automation • Build multi-agent AI systems • Create automated business workflows for: • marketing • analytics • customer support • data processing 3. LLM Integration • Integrate AI models such as: • OpenAI • Claude • Gemini • Llama • Fine-tune models for domain-specific applications. 4. Data & Knowledge Systems • Implement vector databases and semantic search • Build knowledge bases for enterprise AI assistants. 5. API & SaaS Integration Integrate AI with: • CRM systems • Marketing platforms • Google Ads / Meta Ads • analytics dashboards • internal business systems. 6. AI Analytics & Reporting Develop AI-powered analytics dashboards for: • marketing data • campaign optimization • predictive insights. Required Technical Skills AI / Machine Learning • Generative AI • Large Language Models (LLMs) • Prompt Engineering • RAG architecture • AI agents Programming Languages • Python (mandatory) • JavaScript / TypeScript • Node.js AI Frameworks Experience with at least one: • LangChain • LlamaIndex • AutoGPT • CrewAI • Semantic Kernel • HuggingFace AI Infrastructure • Vector Databases (Pinecone, Weaviate, Chroma) • Model deployment • AI APIs Cloud Platforms • AWS • GCP • Azure Databases • PostgreSQL • MongoDB • ElasticSearch DevOps • Docker • Kubernetes • CI/CD Preferred Skills • AI agent development • AI workflow automation • Data pipeline development • Marketing analytics AI • NLP systems • Chatbot / AI assistant development AI Products / Systems You May Work On Develop systems similar to: • AI Legal Assistant Platforms • AI Business Automation Agents • AI Marketing Analytics Platforms • Enterprise AI Knowledge Systems • AI SaaS Automation Tools Candidate Profile: We are looking for someone who: • Has strong experience building AI products • Understands LLM architecture and AI workflows • Can design AI SaaS platforms from scratch • Has experience building scalable AI systems Note: This is going to be a long term Full time position with good salary package. Please only apply if you are not working for any agency and you will be fully dedicated to work only with us since this is not one time project and we want those to be a part who want to be with us for long time. Best Regards Ashish

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Integrate Anthropic to remove manual labour

Hi all, Internally we have some manual processes where we want to integrate Ai into the business. The main process that we require would be below: Sales Process Web enquiries come in and we send a quote. We don’t have fixed prices as these can change every quarter but we would like the ability to use Ai to implement this job. For regular clients that email in we would also have to quote, some product is standard and straight off the price list which I assume AI could help. Bespoke would still have to be done manually. Order processing We get email orders from clients. They send masters and artwork via email. We upload the content to a portal and the artwork is checked by us through a third-party programme. This is all a manual process. We send the artwork by PDF email to the client for approval. Invoicing Supplier sends an XML file every day which we upload onto our bespoke system which then takes the data and creates our invoice using the data and we add in our pricing. Paper waste With every order there are a lot of emails going back and forth with many changes on the order along the way. We print these emails out and collate this with the invoice as these would include some extra charges. We invoice the extra charges and email to clients. The paperwork is then scanned and stored on our servers and once this is done the actual paper is then disposed of. i would like to automate these processes using Anthropic and i'm looking for someone to help me do this.

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Build AI Support Agent for POS Merchants

We are looking for an experienced developer to build an AI support agent for the POS industry. The system will support phone calls, SMS, and web chat. It should answer merchant support questions, detect language automatically, keep track of each merchant separately, and hand over complex issues to a human agent with full transcript. We plan to use the OpenAI LLM API, but candidates who have built similar systems using other LLM APIs are also welcome. The platform will also need a white-label dashboard for POS sellers, so they can manage and track their own merchants easily. Because of this, frontend/dashboard development skills are also important. Required experience: Building real AI chat, voice, or support systems OpenAI API or similar LLM APIs Twilio voice and SMS integration Backend development and database design Frontend skills for dashboard or admin panel development This is a long-term role, not a small one-time project. Please apply only if you have personally built a similar AI application and can clearly explain your work. Shortlisted candidates must sign an NDA before detailed discussion.

AI agent build

I need help building an AI agent that help me with this: -Scrape dental clinics (Google Maps, directories) -Qualify leads (bad marketing, no video, weak socials) -Personalise outreach (email + IG DMs at scale) -Follow up automatically (so you don’t lose leads) -Track replies + book calls (calendar integration) Thanks

Open claw or claude expert needed

Looking for an expert to set up an AI agent for me

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ComfyUI/Stable Diffusion Expert LoRA Testing+Body LoRA Creation

I am looking for a serious and experienced ComfyUI / Stable Diffusion expert for a technical task and potential ongoing work. This is NOT a beginner or creative-only role. Only apply if you have real hands-on experience with LoRA models for image generation. PHASE 1 – LoRA Validation (Immediate) I already have: • LoRA file (.safetensors) • ComfyUI workflow JSON • Flux model (Klein 9B) Your task: Correctly load and run the LoRA in ComfyUI Generate 5–10 test images Confirm whether the LoRA produces a consistent identity Important: • The output must show the SAME character across all images • If results show different faces, something is wrong (setup or LoRA) Optional: • Generate 1 short video test (AnimateDiff or similar) PHASE 2 – Body LoRA Creation (If Phase 1 is successful) If the LoRA is validated and you perform well, the next step is: • Create a body LoRA that matches the existing face model • Maintain consistent proportions across poses, angles, and videos • Ensure compatibility with image and video workflows Requirements: • Strong experience with ComfyUI • Experience with LoRA (image models, NOT LLM/text LoRA) • Experience with Flux or Stable Diffusion workflows • Ability to troubleshoot and fix workflows • Experience training LoRA models is a strong plus Budget: • Small fixed fee for Phase 1 (quick validation) • Larger budget for Phase 2 (body LoRA + ongoing work) IMPORTANT: • Only serious applicants • No beginners • No generic AI tool users (Midjourney, etc.) • Must understand identity consistency To apply, please answer: What happens if LoRA weight is too high or too low? Have you worked with ComfyUI workflows and custom LoRA models? Can you confirm you can test and validate identity consistency? Immediate start required.

AI Chatbot Setup & Integration for Website

Overview: I am looking for an experienced freelancer to set up and integrate an AI chatbot on my website. The chatbot should handle customer queries, improve user engagement, and help with lead generation. Scope of Work: - AI chatbot setup and configuration - Website integration (WordPress) - Basic conversation flow setup - Auto-replies for common questions - Lead capture (name, email, etc.) Requirements: - Experience with AI chatbot tools - Previous similar work - Good communication Please share your past work, your approach, and your budget. Looking forward to working with you.

Data scraping for influencers (automation)

Hello I’m looking for data for a specific set of influencers Specifically for influencers with 75K+ followers on Instagram or 50k subs on YouTube With an audience over 40 The influencer will be speaking on topics like financial planning, many wellbeing categories. Pls tell me how you would do this and how much you’ll charge for the data Also can we verify the engagement rate? Say per 1,000 emails and verify the emails? A Python script using the YouTube Data API v3 (free, official) and Phantombuster (Instagram) to automatically search, filter, and export influencer data to a Google Sheet or CSV. YouTube (API — Free & Clean) Use: YouTube Data API v3 Script logic: 1. Loop through keyword list 2. Search type=channel for each keyword 3. Pull channel details: name, URL, subscriber count, description, email (regex parse from description) 4. Filter: subscribers between 50,000 and 500,000 5. Export all results to CSV Keywords to loop: retirement planning lifestyle retirement vlog over 60 grandparenting tips grandma empty nest life over 50 pickleball over 50 senior fitness over 60 menopause health women over 50 midlife women wellness caregiver aging parents RV retirement full time gardening over 50 vegetable men's health over 50 medicare senior health Christian women over 50 faith retirement lifestyle active aging senior Output columns: Channel Name | URL | Subscribers | Email | Description snippet | Keyword searched Instagram (Phantombuster) Use: Phantombuster Instagram Hashtag Scraper + Profile Scraper (client will provide API key and session cookie) Script/phantom logic: 1. Run Instagram Hashtag Post Scraper on each hashtag below 2. Pull 500 posts per hashtag → extract unique profile URLs 3. Feed profile URLs into Instagram Profile Scraper 4. Extract: username, follower count, bio text, email from bio, website URL 5. Filter: followers 50,000–500,000 6. Export to CSV Hashtags to scrape: #retirementplanning #retirementlife #retireearly #grandparents #grandmalife #nanalife #grandpalife #emptynesters #lifeafterkids #over50life #pickleballlife #activeaging #seniorfitness #womenover50 #menopause #midlifewomen #caregiverlife #agingparents #seniorcare #rvlife #fulltimerv #retirementtravel #vegetablegarden #gardeningover50 #growyourown #menshealth #healthyaging #over50fitness #medicare #seniorliving #agingwell #christianwomen #faithoverfear #christianliving Output Format Single CSV, one row per creator: Platform | Handle/Channel | URL | Followers | Email | Bio/Description | Category | Source Keyword Filtering Rules (build into script) ∙ Followers: 50,000–500,000 only ∙ Skip accounts with 0 posts or last post over 60 days ∙ Skip accounts where bio contains: “under 18”, “teen”, “student”, “college” ∙ Flag rows with no email (for Apollo enrichment pass) ∙ Deduplicate on URL before export Deliverable

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AI Coordinator

AI Operations Expert for Multi-Channel Ecommerce Overview I run a fast-growing online brand selling through multiple storefronts. I need help from an AI operations expert to streamline our marketing and operations across all platforms. Scope of work - Clone and redeploy marketing assets across Amazon, Etsy, TikTok Shop, website, eBay, Facebook, and Instagram. - Design automated funnels turning social followers into customers using chatbots and dynamic offers. - Monitor and optimize AI stack, including data pipelines, prompt tweaking, insights surfacing, and documentation. - Ensure platforms pass brand-review spot checks and deploy unified creative assets. - Develop automated funnels ready for attribution from first social touch to checkout. - Create a clear dashboard or weekly report with performance metrics and system alerts. - Document step-by-step SOPs for junior team members to run basics. References - Current tools: Shopify, Zapier, Klaviyo, Meta Ads Manager, Amazon Ads, ChatGPT; Open to Make, Tray.io, Manychat. Additional information I'd love to hear how you can prove a more efficient mix of tools. Let's set up a call and map the roadmap together. Company details - I run a fast-growing online brand with storefronts on Amazon, Etsy, TikTok Shop, website, eBay, Facebook, and Instagram. - Ecommerce Automation Type Data syncing, Marketing campaign, CRM workflows, Task automation, Email automation ntegration Points Website, Shopify, Social Media, Email Platforms , , , Websites, , , Instagram, Shopify, Zapier Ideal candidate (Optional) Budget and timeline (Mandatory)

Need an admin who can help with AI Automated Integration?

Need an admin who can help with AI Automated Integration? Help work on chatbots and make things as streamlined as possible Taking signs ups, throuhh the correct funnels. Understand funnelling and admin based roles, communicating with customers via whatsapp, and helping onboard new customers?

Landing page with AI optimisation and SEO search Optimisation

Create a polished, conversion-focused landing page featuring AI-driven optimization and SEO best practices. The page should include a concise hero section, compelling product descriptions for a few items, clear call-to-action, responsive design, fast-loading assets, and meta elements optimized for search. Deliver clean, semantic HTML/CSS, lightweight JavaScript for interactivity, and basic on-page SEO (title, meta description, structured content). Prioritize usability, accessibility, and measurable performance improvements.

AI Automation Consultant

Company Overview Elegant Enterprise-Wide Solutions, Inc. is a government-focused IT services and consulting firm delivering innovative, enterprise-scale solutions across Federal, State, Local, Defense, and Intelligence sectors. With deep experience in complex environments, we specialize in software development, data analytics, cloud computing, cybersecurity, IT engineering, and business process automation—helping organizations modernize systems, improve efficiency, and achieve mission-critical outcomes. Position Overview Elegant Enterprise-Wide Solutions is looking for an experienced AI Consultant on a project-based / on-demand engagement model to design and implement AI-driven solutions that automate and enhance our Process. This role is best suited for a self-driven professional who can independently deliver outcomes and work on specific assignments with defined deliverables and timelines Engagement Model • Type: Freelance / Independent Consultant • Work Mode: Remote Required Qualifications • 4–8 years of experience in AI/ML, automation, or related domains • Hands-on experience with LLMs (e.g., GPT-based solutions, prompt engineering) • Strong understanding of automation workflows and APIs • Experience with tools such as: o Python, APIs, automation tools (Zapier, Make, Power Automate, etc.) • Ability to independently design and deliver solutions Application Requirements Interested candidates should share: • Relevant project experience • Examples of AI/automation solutions built • Tools and technologies expertise Availability and expected commercial terms (per project) Note: IST Time zone people are Preferred.

Make a (production/demo) level install of a DGX Spark cluster

Hi, I'm looking for an experienced AI infrastructure specialist — or a passionate enthusiast with solid hands-on experience — to build a robust, flexible, and high-performance backend foundation for OpenClaw (an open-source autonomous AI agent) on two NVIDIA DGX Spark systems connected via 200 GbE (ConnectX-7). The goal is a stable, demo-ready environment that showcases the power of open-source models. OpenClaw will run on a separate system and connect easily via OpenAI-compatible APIs (or equivalent best-practice interfaces). Everything should prioritize: Easy remote access and external connectivity (via Tailscale/ZeroTier). Fast performance within the hardware's unified memory constraints. Simple model switching/adding later (hot-swappable where possible). Persistent services with web UIs for live demos. On-demand tools that can spin up/down cleanly. Hardware & Current State 2× NVIDIA DGX Spark (Grace Blackwell, 128 GB unified LPDDR5x memory each, ARM64). 200 GbE interconnect + 1 GbE internet links. I have a basic cluster setup, timeshift snapshots, ZeroTier, and Tailscale already running. You're welcome to rebuild from scratch if that's cleaner and faster. Core Requirements (Persistent Where Possible) vLLM as primary inference engine with a large-context main model (e.g., Nemotron 120B or equivalent). Must support easy switching to newer models. Whisper (or best-practice alternative like faster-whisper) – ready for OpenClaw API integration. Piper TTS – ready for OpenClaw API/text-to-voice integration. All persistent services should run with clean web UIs for demo purposes. On-Demand Tools (Configured for Easy External/Tailscale Access + Web UIs) Ollama + web UI (for specific or scheduled models). OCR model + workflow (let's discuss the best option—e.g., EasyOCR/PaddleOCR—and data saving/integration with other tools). Image generation (primary for OpenClaw use) with multiple models available. LoRA training tools for image generation. RAG / vector DB (choose the best integration with OpenClaw and other tools—e.g., Qdrant, Chroma, or Milvus). Multi-agent capable dev tools / environment. Central Portal & Usability A single web-based portal (e.g., OpenWebUI or equivalent) for central access to all tools, easy model switching, admin controls, and live demos. Nice-to-Have / Optional Enhancements (quote separately if interested) Full 2-node clustering with tensor parallelism (e.g., using the open vLLM-DGX-Spark repo or Ray/NCCL). Docker Compose / lightweight Kubernetes orchestration for easy updates and portability. Monitoring dashboard (Prometheus + Grafana). NVIDIA NIM microservices for optimized inference. Any other best-practice tools you recommend for integration, speed, or flexibility. Your Profile You're deeply familiar with these tools (or eager to dive in as an enthusiast), NVIDIA DGX systems (especially Spark/Grace Blackwell), multi-node inference (vLLM, tensor/pipeline parallelism), Docker/containerization, and API integrations. You understand VRAM/unified-memory optimization and can make everything work together smoothly. Bonus if you have experience with OpenClaw, OpenWebUI, RAG pipelines, or agent frameworks. Proper English communication (written and spoken) is a must for smooth collaboration. Timeline & Expectations We have a tight deadline — I need a stable, running environment live as soon as possible. You're completely free to experiment, test, and play around with different configurations during setup, but the priority is delivering a functional, demo-ready system quickly. Speed matters, while still maintaining quality and stability. Compensation Competitive hourly rate (fully flexible and based on your region, experience, and the exact scope) or a fixed-price project bid if preferred. I'm completely open to discussion—propose whatever rate works best for you and your location. This project serves as a test case for potential further collaboration and ongoing work if it goes well. If you're the right fit, there will be plenty of exciting follow-up opportunities. Work Style & Availability This is remote work. I am completely flexible on working hours and not EU-bound. As long as you're excellent at what you do, I'm happy to work with talent from anywhere in the world (including low-income countries—great people deliver great results everywhere). If this sounds like a good fit, reply with: Your relevant experience (especially with DGX Spark, vLLM multi-node, or similar stacks — enthusiasts with strong practical knowledge are very welcome). Rough timeline and cost estimate (with your proposed rate). Any questions or suggested improvements. Looking forward to building something powerful together!

AI receptionist and connected to Google Sheets

AI Phone System – One Page Summary Objective Reduce call volume, automate routine enquiries, improve response times, and ensure no missed customer enquiries. We are a company that offers activity training and experience vouchers. System Overview Customer calls → AI Receptionist → AI identifies call type → Transfers to staff OR handles automatically (voucher, weather, staff availability) → Logs enquiry → Notifies team. Call Handling Learning enquiries: all phones Existing customers: reception + operations Training queries: reception + training + operations + management Accounts: operations Voucher calls: AI handles Flight status: AI checks dashboard Required Software Vonage – phone system (existing) Synthflow – AI receptionist Twilio – SMS messaging Make.com – automation Google Sheets – operations dashboard Google Forms – booking form Operations Dashboard Flights Today | Staff Status | Instructor Status | AI Controls | Enquiries Log Automation Features Voucher booking automation Flight status responses (GO / DELAY / CANCEL / CHECK LATER) Staff availability responses Missed call capture Implementation Steps 1. Create dashboard 2. Set up AI system 3. Add SMS integration 4. Create booking form 5. Connect automation 6. Test system 7. Forward main number to AI 8. Install reception dashboard

I am looking someone to make me TikTok videos

Seeking a creative videographer to produce engaging TikTok content. Responsibilities include concept development, short-form scripting, filming, editing with trending effects, captions, and royalty-free music. Must deliver vertical videos optimized for TikTok, incorporate current trends and hashtags, and ensure high-quality visuals and clear audio. Experience with viral formats, fast-paced cuts, and audience retention strategies preferred. Provide 10 polished videos within agreed timeframe and revisions as needed.

Ai video's creative for TikTok's

Seeking a versatile creator to produce captivating AI-driven video creatives tailored for TikTok. Deliverables include short-form, attention-grabbing videos optimized for vertical format, engaging hooks within the first 3 seconds, seamless AI-enhanced visuals, dynamic transitions, and concise captions. Creator should apply trending aesthetics, sound design, and pacing suited to TikTok algorithms. Final assets must be platform-ready, delivered in required formats with scope for minor revisions.

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AI Monitoring Platform for UK Company Alerts

Project Title: AI Monitoring Platform for UK Company Financial Distress & Insolvency Alerts (SIC-Based) Project Overview: I’m looking for an experienced developer (or small team) to build an AI-powered monitoring platform or intelligent agent that tracks UK companies within pre-defined SIC codes and automatically alerts me when there are signs of financial distress or insolvency. The system should continuously monitor company data, detect risk signals, and provide both real-time alerts and structured reporting. Core Objective: To proactively identify companies within selected industries that are: Experiencing financial decline (e.g. credit score drop) Entering insolvency processes (e.g. notice of intent to appoint administrators) Showing early warning signs of distress Key Functional Requirements: 1. Company Data Collection The platform must: Pull and maintain a live database of UK companies filtered by selected SIC codes Sources should include: Companies House API Commercial data providers such as Creditsafe, Experian, Dun & Bradstreet (or similar via API) 2. Data Monitoring (Automated & Ongoing) The system should periodically (daily or weekly) re-check and update the following: Credit score (via commercial providers) Filing timeliness (overdue accounts, confirmation statements, etc.) Insolvency indicators: Notice of Intent to Appoint Administrators Administration Liquidation CVAs Director changes: Appointments Resignations 3. Financial Data Enrichment (Important) Where available, the platform should also pull and display from latest filed accounts: Turnover / Revenue Balance sheet data (e.g. total assets, liabilities, net assets) This can be sourced from: Companies House filings (accounts data) Or via commercial data providers if more structured/standardised 4. Alert Triggers The platform must generate alerts when: A company’s credit score drops by 5% or more Include the exact percentage drop in the alert Any insolvency-related event is detected, including: Notice of Intent for Administration Administration Liquidation 5. Alert Delivery Alerts should be sent via: Email (minimum requirement) Ideally also: Slack / Microsoft Teams Web dashboard notifications 6. Reporting (Key Requirement) The system must automatically generate and send: Daily report Weekly report Monthly report Each report should be delivered as a spreadsheet (Excel or Google Sheets) and include: Columns to include (minimum): Company Name Company Number SIC Code Date of event/activity Type of event (e.g. credit score drop, insolvency notice, director change) Previous credit score New credit score % change in credit score Filing status (on time / overdue) Insolvency status Director changes (summary) Turnover (latest available) Key balance sheet figures (assets, liabilities, net position) Reports should clearly show date-stamped activity and allow filtering/sorting. 7. Dashboard / Interface (Preferred) A simple dashboard to: View and filter companies by SIC code Track alerts and risk levels View historical changes and trends Export data 8. AI / Intelligence Layer (Optional but Preferred) Identify early warning signals before insolvency Highlight patterns (e.g. repeated late filings + score decline) Rank companies by risk level or likelihood of distress Technical Requirements: Experience integrating APIs (Companies House + credit agencies) Ability to build automated data polling (scheduled jobs) Cloud-based database and infrastructure Alerting and reporting automation Scalable architecture Data Sources (Must Be Used): Companies House API (free, primary source) Commercial credit data providers such as: Creditsafe Experian Business Dun & Bradstreet Please advise on: Best provider(s) to use API access requirements Ongoing data/licensing costs Deliverables: Fully functioning monitoring and alert system Automated reporting (daily, weekly, monthly) Spreadsheet output format Documentation and user guidance Ability to adjust SIC codes and thresholds Optional ongoing support Nice to Have: CRM integration (e.g. Zoho) Webhooks for automation Customisable reporting Data visualisation Budget & Timeline: Open to proposals – please include: Estimated cost Timeline Recommended tech stack Relevant experience / similar projects

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Music led AI proposition (MVP - next stage)

Hi All, see below what we are looking for: We've developed an AI-powered platform built to help businesses craft compelling pitches and proposals. Currently at MVP stage and using the Claude AI API, the product has proven its core concept and is ready to scale. We’re looking for an experienced consultant developer to take it from MVP to a robust, secure, multi-tenant product that is ready for commercial growth. The Role This is a freelance/contract engagement, fully remote. You’ll work closely with the founder to define the roadmap, make key technical decisions, and deliver a more polished, secure, and scalable version of the product. The right person will be comfortable working across the full stack and will have a genuine interest in AI-powered products. Scope of Work 1. Build Out the Product Proposition • Evolve the MVP into a fuller product experience — improved UX, additional features, and a clearer user journey. • Identify and close gaps between the current MVP and a market-ready product. • Work collaboratively to define and prioritise the feature roadmap. 2. Multi-Tenant Authentication & Secure Login • Design and implement a secure, scalable multi-tenant login architecture so that separate companies can access the platform with fully isolated accounts. • Implement role-based access control (RBAC) where appropriate. • Evaluate and integrate a suitable auth provider (e.g. Auth0, Clerk, Supabase Auth, or similar). 3. Security Enhancement • Audit the current codebase and infrastructure for security vulnerabilities. • Implement security best practices: input validation, rate limiting, secrets management, and secure API handling. • Ensure GDPR compliance for UK/EU users — data handling, storage, and deletion policies. • Set up appropriate logging and monitoring for security events. 4. Improve AI Matching & Recommendations • Review and refine the existing Claude-powered matching logic. • Improve the quality, relevance, and consistency of AI-generated outputs. • Explore additional prompt strategies, context management, and retrieval approaches (e.g. RAG) to strengthen results. 5. Optimise the Claude API Configuration • Audit and refine the existing Claude API set-up: model selection, system prompts, token usage, and response handling. • Implement cost controls and ensure API usage is efficient and well-monitored. • Stay current with Anthropic’s best practices and model updates. 6. Scalability & Infrastructure • Assess the current infrastructure and recommend improvements to support growth. • Ensure the system can handle multiple concurrent users and company accounts without degradation. • Implement database optimisations and appropriate caching where needed. 7. Testing, Documentation & Handover • Establish a testing strategy (unit, integration, and end-to-end tests) to ensure code quality as the product scales. • Document the architecture, API, and key decisions so future developers can contribute effectively. • Provide a clean handover with clear notes on any ongoing work or future recommendations. What We’re Looking For • Proven experience taking products from MVP to production-ready, at pace. • Strong full-stack development skills — comfortable across front-end, back-end, and infrastructure. • Solid understanding of authentication systems and multi-tenant architectures. • Experience with LLM APIs — ideally Claude/Anthropic, or similar (OpenAI, Gemini). • Security-conscious mindset with practical knowledge of common vulnerabilities and mitigations. • Familiarity with GDPR and data privacy requirements in the UK/EU context. • Strong communicator — able to translate technical decisions into plain language for a non-technical founder. • Fluent in written and spoken English — clear communication is essential as you’ll be working closely with the founder throughout. • Self-directed, reliable, and comfortable working asynchronously. • Experience with prompt engineering and LLM optimisation. • Background in B2B SaaS products. • Knowledge of RAG (Retrieval-Augmented Generation) or vector database approaches. • Familiarity with analytics and observability tooling. A few notes: 1. If you can't communicate in English please don't apply as i will need to speak to you to grow this 2. Must have experience in developing or creating Ai websites (i will be asking for this) 3. Make sure your application is relevant to what the above is asking, if it isn't then it will auto-rejected. Thanks

My my Logo into an A.I moveable logo

The video should begin on a completely black screen. Our logo should then appear in a dynamic way, similar to an egg cracking or splashing onto the screen, creating a strong visual impact. Beneath the logo, the word “Podcast” should appear clearly. After the logo appears, a pair of boxing gloves should swing into view, as if hanging and moving naturally like pendulums. The motion should feel smooth and slightly dramatic. Next, the gloves should become more active and punch toward the screen first one glove, then the other creating a bold, energetic effect. As the gloves punch forward, each glove should display part of the phrase: “We’ll punch you in the face.” We will also be adding a voiceover to accompany this animation, so the timing should allow space for that audio to sync well with the visuals. Overall, the style should feel bold, energetic, and slightly aggressive, with a strong, memorable impact.