I am a Revenue Operations and Salesforce consultant looking for a hands-on mentor to teach me how to build AI-powered business workflows. I am not looking for someone to simply build the solution for me. I want to learn while building real projects together. My background includes Salesforce administration, RevOps, Commercial Operations, Forecasting, Customer Success, and GTM systems. Initial project: Gemini call recordings and transcripts AI-generated summaries AI-generated next steps Salesforce task creation Salesforce opportunity updates Human review and approval workflows Technologies of interest: Salesforce n8n Claude Gemini APIs Workflow automation Looking for: Weekly coaching sessions Screen-sharing and hands-on instruction Someone who can explain architecture and best practices Experience with Salesforce integrations Please include examples of similar workflows you have built.

ABOUT THE PROJECTS. I run a curated marketplace on Shopify (The Ever Good) and I am building out an AI automation system to handle routine tasks in the business. I am AI-savvy and have built a Python agent myself, so I understand what I am asking for. I have the architecture planned and the business requirements semi-documented for each piece. I simply do not have the time to build everything I want to build, which is why I need a developer to work alongside me. The first project is a product review collection and import system. If it goes well, there is ongoing work building out additional agents over time, one at a time. This is a potential long-term engagement depending on how the first project goes. WHAT WE ARE BUILDING. The overall system is a set of AI agents that handle specific business tasks and route outputs to a simple dashboard where I can review, approve, and trigger actions before anything goes live. The dashboard is a Lovable build that gives me a single place to monitor agent status, review outputs, and approve or return anything that needs a human decision before it moves forward. Agents are planned across several areas of the business. We will build one at a time. I will walk you through the requirements for each before you start. Examples of agents here by business category (these could change): - MARKETPLACE & CATALOG. Product Reviews (first project), Catalog Enrichment and SEO, Pricing and Margin Monitor, New Product Auto-Pricer, Maker Stories, Maker Audit, Maker Analytics, Review Monitor. - CONTENT & SOCIAL. Content Generation, Cultural Moment Monitor, Social Publishing, Pinterest Curator, Instagram DM Automation, Image Production, Founder Content Amplifier. - MARKETING & ADS. Email Sequences, Paid Media Director, Ads Performance Monitor, LinkedIn Outreach. - SEO and Search. SEO and AI Search Visibility, Crawl Error and Redirects. - THE SCHOOL (Our Coaching Offerings). AI Readiness Assessment, Coaching Prep Tool, Workshop Launcher, Course Completion Monitor, Immersion Round Tracker. - FINANCE & OPS. Profit Police, Cash Flow Forecaster, Financial Health Monitor, System Health Monitor. - CUSTOMER SERVICE & GIFTING. Customer Service Drafts, Gift Inquiry and Proposals, Basket Assembler. OUR TECH STACK (Could Change). - AI AGENT BUILDING STACK. Claude Code, Claude API, Python, Make.com, Replit, Lovable, Google Sheets API, Baserow. - OTHER BUSINESS SYSTEMS. Shopify API, DropCommerce API, Matrixify, Typeform, Stripe API, Yotpo API, Klaviyo API, Instagram Business API, Later API, Pinterest API, ManyChat API, Bannerbear API, LinkedIn API, Google Analytics 4 API, Google Search Console API, DataForSEO API, QuickBooks Online API, Google Drive API. HOW WE WORK. - HOURLY. Collaborative and iterative engagement. - REQUIREMENTS. We review together before each build and refine as we go. - QA. I handle testing and QA on my end. - DOCUMENTATION. All work is documented throughout with decision logs and handoff notes so full ownership and control remains with me at every stage. - IP. All intellectual property and work product belongs to me entirely. - CLAUDE. You are expected to maintain your own Claude environment at a level that supports serious development work with no usage limitations. - ACCESS. All business systems and APIs provided with scoped credentials as needed. - DEPLOYMENT. Production deployment is handled collaboratively. - COMMITMENT. Looking for someone who can help maintain and evolve these tools over time while I retain full control and understanding of everything we build. WHAT I AM LOOKING FOR. - CLAUDE. Must use Claude as your central AI LLM. Experience. Working experience with the Claude API and the tools in the building stack above, or a demonstrated ability to learn new tools quickly. - COMMUNICATION.Clear communicator who works independently and does not need to be managed through a task, but is promptly responsive to me. - MINDSET. Building with AI tools as a regular part of your work. TO APPLY. Please share a brief description of one or two AI agents you have built, what they did, and what tools you used. Include a note on your familiarity with the tools listed above and your hourly rate.

We are building an internal AI-powered nutrition coaching tool called NATE (Nutrition and Training Expert) for our team of 3-5 staff members. We already have a fully functional HTML/JavaScript chat interface built that calls the Anthropic Claude API. The tool works — we just need it properly hosted with a backend, database, and staff login. WHAT WE NEED BUILT: 1. Backend proxy server (Node.js or Python/FastAPI) — Route API calls from the browser to Anthropic securely — Store the Anthropic API key as a server-side environment variable — This solves our current CORS issue and keeps the key hidden 2. Staff authentication — Simple login system for 3-5 internal users (email + password) — No public sign-up — admin adds users manually — Session management so staff stays logged in 3. Database for client data — Save client profiles (form responses pasted by staff) — Save conversation history per client — Save meal plans and outputs NATE generates — Allow staff to pull up a previous client and continue where they left off — Simple search by client name 4. Ability to update the AI system prompt — Admin panel or simple config file where we can update NATE's instructions without touching the rest of the code — Updates should NOT wipe any saved client data 5. Hosting on our custom domain — We own nate.nutritionx.ai — SSL certificate — Clean deployment that is easy to update going forward WHAT WE ALREADY HAVE: — Fully built HTML/JS chat interface (we will provide the file) — Anthropic API account and API key — Domain: nate.nutritionx.ai — Netlify account (or open to other hosting suggestions) TECH STACK (flexible — use what you know best): — Frontend: existing HTML/JS (no framework needed) — Backend: Node.js + Express OR Python + FastAPI — Database: PostgreSQL, MongoDB, or SQLite — your call — Auth: simple JWT or session-based — nothing complex — Hosting: Netlify Functions, Railway, Render, Vercel, or similar THIS IS NOT A COMPLEX PROJECT. We are not building a SaaS product. This is a clean internal tool for a small team. The chat interface is already built and works perfectly — you are wrapping it in a proper backend and adding data persistence. DELIVERABLES: — Working app live at nate.nutritionx.ai — Staff can log in, use NATE, and all client data saves automatically — Admin can update the system prompt without losing data — Basic documentation so we can maintain it going forward — Clean readable code (we may want to build on this later) BUDGET: $300-800 depending on experience and approach TIMELINE: 1-5 days COMMUNICATION: Daily updates preferred. English required.

OVERVIEW I'm building Inkora, a subscription web app: an AI creative-writing companion for fiction (romance, fan fiction, poetry, general fiction). The React front-end is COMPLETE and will be provided, with clearly marked integration points. I need the backend built, connected, and the full app deployed. This is an 18+ platform with content safeguards. STACK ALREADY IN PLACE - React front-end (provided; single-file app ready to be scaffolded into a project) - GitHub (repo will live on my account) - Vercel (hosting, my account) - Stripe account created - Anthropic (Claude) API key — must live server-side only, never in client code - Domain: inkora.com SCOPE OF WORK 1. Secure AI endpoint — a serverless endpoint (e.g. POST /api/write) that attaches the provided system prompt, calls the Claude API with the server-side key, and returns the text to the front-end. Suggested writing model: claude-sonnet-4-6. 2. Content moderation — screen user input BEFORE the model call and model output AFTER it. Block sexually explicit content and gratuitous graphic gore. Use a inexpensive-model screen (e.g. Haiku) or a third-party moderation API. Log violations; support a warn-then-suspend flow. 3. Auth — your recommendation (Supabase or Firebase preferred). Email + password baseline; Google sign-in if low effort. 4. Database — persist each user's stories (title, genre, full message history, timestamps), characters, and notes. The front-end already models these data shapes. The story's full saved history must be sent with each AI request (this powers in-story continuity). 5. Subscriptions (Stripe) — $10/month, ~$27/quarter, ~$96/year. Free tier: 10 messages per day (make this a config value), resetting every 24h. Gate writing access by subscription status / remaining free allowance. Handle the subscription lifecycle via webhooks. 6. Age-gate persistence — the front-end collects date of birth + an 18+ affirmation; store the affirmation timestamp with the account. Structure it so a third-party age-verification provider can be swapped in later without reworking the flow. I'm open to building on a proven starter/template (e.g. the Vercel AI chatbot template) if it speeds things up — adapting solid existing code is welcome. DELIVERABLES - Deployed, working app (provided front-end + your backend) on my Vercel, repo on my GitHub - All secrets configured as environment variables (never in client code) - Short handoff notes: key rotation, where moderation logs live, how to change config values WHAT I PROVIDE - Complete front-end code, a written backend brief, and the system prompt (shared privately with the selected freelancer) - All accounts (GitHub, Vercel, Stripe, Anthropic) already created and ready TO APPLY, PLEASE ANSWER THESE IN YOUR PROPOSAL: 1. Have you wired Stripe subscriptions with webhooks before? Link or example. 2. How will you keep the API key off the client? 3. How would you implement input + output moderation cost-effectively? 4. Have you deployed serverless APIs on Vercel? 5. Your fixed quote and timeline for this scope. Proposals that don't answer these questions will not be considered.

DO NOT SEND AN AI GENERATED PROPOSAL. READ THROUGH THIS POST AND GIVE US YOUR HUMAN RESPONSE. Location: Remote Team size: Small (you’ll know everyone’s name) Stack: Java 21 / Guice / Gradle backend + React 19 / TanStack / MUI frontend **To apply** 1. Give us a few sentences for why you're a fit for the description below. 2. Include a Github/Gitlab/Gitea link to a recent PR you’re proud of (any language) 3. 5–10 minute Loom of you using Claude Code on a real task. **About the role** QAction is a large-scale Java enterprise document, records, and workflow platform — multi-project Gradle build, ~15 modules, customer-specific deployments (USDA, Ditco, Ascension, Mayo). The backend is being modernized behind an OpenAPI v2 surface (oasv2); the frontend is being rebuilt off GWT onto React 19 + TanStack Router/Query/Start with MUI v7. We need a developer who’s equally comfortable extending a v2 endpoint in a Guice-wired Java service as they are wiring up a TanStack Query call behind a Lexical editor or a virtualized data table — and who treats Claude Code as a peer on the keyboard, not a novelty. You’ll work directly with the product lead. No layers, no JIRA theater. Ship, review, iterate. **What you’ll do** Own vertical slices end-to-end: OpenAPI spec → Manager/ManagerImpl + EndpointImpl in QAction Java → React 19 / TanStack Query UI → JUnit + Playwright coverage. Extend the QAction Java backend: Guice (constructor injection only), Hazelcast-aware code paths, customer-deployment-aware module wiring, JUnit under oasv2. Build Modern UI features in the React 19 stack: TanStack Router/Query/Start, MUI v7 + Emotion, React Hook Form + Zod, Lexical, dnd-kit, OIDC auth (oidc-client-ts), TypeScript with the wrapper-component discipline already in place (Button, Icon, LabeledObject, ScrollShadows, etc. — never raw MUI in features). Move features off GWT onto the React 19 stack one slice at a time, without breaking the legacy app. Pair with Claude Code daily — write prompts that ship code, review agent diffs critically, and improve our skills/agents library when the workflow has friction. Keep integration tests honest: real DB + Solr + Keycloak at the seam, not mocks. Tech direction you’ll be living in **Backend** Java 21, Gradle multi-project (build single modules — ./gradlew QAction:build — never clean build) Guice DI, constructor injection, Manager/ManagerImpl naming (we don’t use “Service”) OpenAPI-first v2 endpoints in oasv2, canonical error model, paginated response classes as standalone beans in oasv2.beans Hazelcast clustering, Solr search, Postgres/MSSQL, Keycloak/OIDC FileNet integration, document import/migration tooling, RMT/remote services **Frontend** React 19 + TypeScript, Vite 7, TanStack Router + Query + Start + Table MUI v7 + Emotion, MUI X Date Pickers + Tree View Lexical (rich text), @dnd-kit + Atlaskit pragmatic-drag-and-drop, react-virtualized, react-pdf React Hook Form + Zod, oidc-client-ts + react-oidc-context, notistack, pino File naming kebab-case, @/ path imports, theme-first styling, wrapper components over raw MUI Adjacent surfaces in scopes over time **What we’re looking for** 8+ years shipping production app code across backend and frontend. You’ve owned services and UIs, not just one or the other. Java fluency — Guice or Spring DI, REST/OpenAPI design, JUnit. Bonus if you’ve worked in a 1M+ LOC enterprise Java codebase with customer-specific module deployments and didn’t flinch. Modern React fluency — React 18/19, TypeScript, TanStack Query (or React Query), a real opinion about effect dependency graphs, comfort with virtualized tables and rich-text editors. OpenAPI-first thinking. Specs are the source of truth, not documentation written after the fact. Claude Code power user. You write prompts that delegate well, you know when to use a subagent vs. inline, you’ve built or extended skills/hooks/MCP integrations. You can show us a recent session where Claude shipped something non-trivial under your direction. Small-team temperament. You’re allergic to ceremony. You read code before asking. You raise a small PR when it’s ready. **Nice to have** GWT (you won’t write new GWT, but you’ll need to read and migrate it). Workflow / BPMN, records management, e-signature, or ECM domain experience. Hazelcast, Solr, Keycloak operational familiarity. Lexical or another modern rich-text editor. Playwright (you’ll inherit a calibrated suite — we want you to improve it, not rewrite it). Docker compose stack bring-up across Postgres, MSSQL, Solr, Keycloak. Python services or Helm/Kubernetes deployment experience. **How we work** Small PRs. Every change ships through review. If it’s getting big, split it. Test-driven design. Tests come with the code, not after. JUnit on the Java side, Vitest + Playwright on the React side. Daily standups. 15 minutes, async-friendly, but we show up. Memory-backed Claude Code sessions — agents learn the codebase with you, not against you.

Looking for someone who used to hand code before the day of AI, especially in PHP/node, now proficient in claude code and using AI in servers and CLI. Really good at devops, security, and lead generation and marketing. Looking for an all around Ops guy and software engineer

We're looking for an AI & Data Analysis expert to lead the integration of intelligent tools within the business platform. You'll connect Google Ads, marketing data files, and operational data sources to build AI agents via Claude that support business decision-making across our pet retail operations. Key Responsibilities Design and configure Claude-powered agents using tool use, structured prompts, and automated workflows for data analysis Integrate the Google Ads API to extract campaign metrics and feed decision-making dashboards Ingest, clean, and structure CSV, Excel, and other marketing data formats for agent processing Generate automated narrative reports and actionable visualizations for the executive and marketing teams Maintain and iterate on data pipelines connecting advertising, sales, and inventory data Required Technical Skills Claude API / Anthropic MCP (Model Context Protocol) Prompt engineering and LLM tool use / function calling Google Ads API Python or JavaScript (for pipelines and integrations) SQL / PostgreSQL / Supabase Pandas / NumPy or equivalent data libraries REST API consumption and integration Advanced Excel / Google Sheets Nice to have: Google Analytics, BigQuery, Looker, Power BI Ideal Profile Proven experience building data pipelines or LLM-powered tools in a production environment Hands-on familiarity with the Anthropic API and agent/tool-use patterns Ability to translate raw data into clear, actionable business recommendations Self-directed — can propose and build solutions without exhaustive specs Initial Projects Campaign ROI Agent — connects Google Ads + business sales data to generate automatic performance alerts and recommendations Marketing File Pipeline — ingests CSV/XLSX marketing files and produces AI-generated summaries and insights Executive Dashboard — decision-support interface with Claude-generated action recommendations based on live data

I need someone to help me set up automation agents in Claude Cowork. My photo agency requires CoWork to watch a directory for new files and trigger a workflow. The ideal candidate will have experience in automation and workflow management, ensuring seamless integration with our directory to automate file processing.

We're building multiple AI-powered SaaS products and MVPs using modern technologies. We're looking for an experienced Full Stack Developer to help build new features, fix bugs, improve performance, and ship products quickly. Most tasks are small and focused (typically 4–8 hours each), with the opportunity for long-term collaboration across multiple projects. What You'll Be Working On Typical tasks include: • Building new features with Next.js and NestJS • Working with Supabase (Auth, Database, RLS, Storage, Edge Functions) • Developing AI chat features using OpenAI or other LLM APIs • Integrating Stripe subscriptions and payment flows • Building REST APIs and backend services • Creating responsive UI with Tailwind CSS • Fixing bugs and improving application performance • Refactoring and improving existing code • Reviewing and improving AI-generated code from Cursor, Claude Code, Lovable, or similar tools • Helping launch SaaS products and MVPs quickly Engagement • Small tasks (typically 4–8 hours each) • Ongoing work across multiple projects • Flexible schedule • Async communication • Long-term opportunity for the right developer When Applying Please include: • Your best Next.js + Supabase project • A SaaS or MVP you've built • Your experience with Stripe and AI integrations • Your experience with Cursor, Claude Code, or similar AI tools • Your availability this week What We're Looking For Ideally, you: • Have strong experience with Next.js, NestJS, and TypeScript • Have solid experience with Supabase • Have built SaaS products or MVPs • Have experience integrating Stripe and AI APIs • Can work independently and solve problems efficiently • Write clean, maintainable, and scalable code • Are comfortable using AI coding tools • Communicate clearly and provide regular progress update

We are looking for a strong software engineer who can build practical automation systems using AI, APIs, and modern development tools. This role is for someone who can take messy business workflows, understand the goal, and build working systems that save time, reduce manual work, and improve execution. You should be comfortable building automations, integrating tools, working with APIs, writing clean code, and using AI tools like OpenAI, Claude, or similar models to create useful business applications. What You’ll Work On You will help build and improve systems such as: AI-powered research and data extraction workflows CRM and sales process automations Email, spreadsheet, and database automations Internal tools and dashboards API integrations between business software Web scraping and data enrichment workflows when appropriate AI agents or assistants that help with repetitive business tasks Automation around deal screening, reporting, lead research, and document creation Ideal Candidate We are looking for someone who is practical, fast, and can figure things out without needing step-by-step instructions. You should have experience with: Python and/or JavaScript APIs and webhooks OpenAI, Claude, or other LLM APIs Automation tools like Zapier, Make, n8n, Airtable, Google Sheets, HubSpot, Salesforce, or similar Databases such as PostgreSQL, Supabase, Firebase, or similar Basic front-end or internal tool development Web scraping, data cleaning, and structured data workflows GitHub and clean documentation What Matters Most We do not need someone who only talks about AI. We need someone who can actually build. The right person should be able to: Understand a business process quickly Recommend the simplest technical solution Build fast prototypes Turn prototypes into reliable workflows Communicate clearly Document what was built Improve systems over time Nice to Have Experience with any of the following is a plus: Private equity, M&A, finance, or investment workflows Deal sourcing or lead generation systems CRM automation Data enrichment tools AI research agents Browser automation Cloudflare, AWS, Google Cloud, or similar infrastructure Engagement This will start as a part-time project-based role, with the potential to become ongoing if the work is strong. Estimated workload: 5 to 15 hours per week to start. To Apply Please include: Examples of automations or AI tools you have built The tech stack you usually work with A brief explanation of how you would approach automating a messy manual workflow Your hourly rate Your availability Please do not send a generic application. If your response looks copied and pasted, it will be ignored.