Add Tests, Security Audit for Credit Cards, Possible Refactor: Vibe-coded Social Graphify + Lovable: Do not use ai to write your proposal, or for any of your communication. I do not need AI or an AI detection tool to know. It's obscene. I can't trust Claude to make tests. It always slyly reverts when making a productive change to changing the tests to mock data. So I need a human to implement them. Full-stack web dev js, python, llm's. Additional background or interest in: Graph Theory, Graph Neural Nets, Graphical Probabilistic Models, Bayesian Neural Nets, Category Theory, Pre-Deep Learning Natural Language Processing (Cfg's, etc.), Semantic Web Tech (rdf/owl/xbrl), Library Sciences, Pre-LLM Machine Learning (+Stat/Econometrics/etc.), Federated Learning and Crypto is appreciated. Do not use ai to write your proposal, or for any of your communication. I do not need AI or an AI detection tool to know. It's obscene.

We’re hiring an extraordinary developer to own and grow our Base44 apps and sales products. around the future of AI discovery 1. Future of AI Discovery Core Demo – https://pull-discovery-core.base44.app/ You’ll evolve https://pull-discovery-core.base44.app/ into a beautiful, fluid, high‑performance, full-functional future of AI discovery demo following our advanced and sophisticated technical blueprint Integrate and orchestrate AI models incorporating LLM's, Search and World Models into a seamless experience with no visible seams between UX and intelligence. Own front‑end performance, responsiveness, and micro‑interactions—animations, transitions, and state changes should feel intentional and “alive,” not bolted on. Implement robust logging and analytics to understand how users explore, where they get stuck, and how the discovery engine can adapt dynamically. 2. Book Sales Engine – Six‑Channel Publishing System The second current Base44 project is a system that operationalizes our comprehensive sales plan across six channels. SEE THE COMPREHENSIVE BOOKSALES PLAN ATTACHMENT UNDERNEATH THIS POSTING You will: Translate a detailed multi‑channel publishing strategy (KDP optimization, physical bookstores via IngramSpark, other digital platforms, libraries, bulk institutional sales, and authority‑engine content marketing) into concrete workflows, tools, and dashboards. Build internal interfaces and automations to: Track metadata, pricing, and promotions across Amazon KDP and other platforms. Monitor campaigns across TikTok, Meta, LinkedIn, YouTube, newsletters, and partnerships. Surface KPIs like BSR, review velocity, ad spend, email growth, library adoptions, and bulk orders in a single, coherent view. Design light internal UIs that make it easy for non‑technical team members to update copy, add titles, trigger campaigns, and view performance without breaking anything. Implement robust, testable integrations between Base44, external APIs, and data sources to keep everything in sync as we scale from 8 to 22+ titles and beyond. Who You Are We’re not looking for a generic “full‑stack dev.” We’re looking for an unusual combination of visionary and doer: Creative technologist mindset – You think in systems and interfaces at the same time. You care deeply about how a product feels as well as how it works. Obsessed with execution – You’re disciplined, structured, and relentless about shipping. You break ambiguity into sprints, reduce complexity into tickets, and never let projects stall. Proactive owner – You don’t wait for instructions. You propose better ways to do things, flag risks early, and bring options—not problems—to every conversation. Strong product sense – You can balance ideal UX with realistic constraints and understand when to ship v1 vs. when to invest in polish. Comfortable with complexity – Multi‑channel distribution, layered data flows, and evolving requirements don’t scare you; they energize you. Ideal Skills & Experience You don’t need all of these, but you should recognize yourself in most: 5+ years building production web applications, ideally with a strong front‑end/UI focus. Deep experience with modern web stacks (React/Vue/Svelte or similar) and TypeScript, plus comfort with Node or comparable back‑end runtimes. Strong visual/UI instincts: experience collaborating with designers or owning design yourself for data‑rich interfaces and dashboards. Experience integrating AI/LLM APIs and retrieval systems into real products (RAG flows, multi‑step tool use, chat‑like interfaces, recommendation engines). Experience with analytics and experimentation: event tracking, funnel analysis, A/B testing. Familiarity with publishing, ecommerce, or multi‑channel marketing systems is a plus (KDP, IngramSpark, email platforms, ad platforms, analytics). Prior work in environments like Base44 or other low‑code/agentic platforms is a strong plus, but not required if you learn fast.

I am building Dewy, an early-stage construction technology platform focused on construction buyout and subcontractor quote intelligence. The first MVP is intentionally narrow: users should be able to upload subcontractor quote/proposal documents and receive structured outputs showing included scope, exclusions, assumptions, qualifications, cost structure, alternates, allowances, and potential risk flags. I have already developed the product concept, construction logic, early workflows, and prototype direction using Codex/AI tools. I am not looking for someone to invent the product from scratch. I need a senior AI product engineer who can review what I have, determine what is usable, define a clean MVP architecture, and help turn the current direction into a working private beta. Initial scope: * Review the current prototype/code/product materials. * Identify what should be reused vs. rebuilt. * Recommend the MVP architecture and tech stack. * Define the AI document-processing workflow. * Design the structure for file upload, extraction, editable results, and export. * Help create a realistic build roadmap, timeline, and budget. * Potentially continue into hands-on MVP development if there is a strong fit. Ideal experience: * Full-stack SaaS / MVP development * AI / LLM application development * OpenAI API or similar model integrations * Document extraction or document intelligence workflows * PDF/DOCX parsing and structured data extraction * React / Next.js * Python * APIs and backend workflows * Supabase/Postgres or similar database experience * Vercel or similar deployment experience * Ability to work with a non-technical founder and translate business goals into a practical build plan This is not a full enterprise platform build yet. The first MVP should stay focused on one core workflow: Subcontractor quote documents in → structured buyout intelligence out. Please respond with: 1. Relevant AI/document extraction projects you have built. 2. How you would approach the MVP architecture. 3. Whether you recommend starting with an audit/roadmap before build. 4. Your hourly rate and availability. 5. Whether you are interested in ongoing build involvement after the initial review.

## Project at a Glance - Project stage: Partially built; bootstrapped project where efficiency, speed, cost, and lean execution matter. - Expected project duration: Approximately 1 to 2 months. - Engagement type: Independent contractor / hourly engagement only. - Scale target: The app should be architected with future growth in mind, including a target capacity of 80,000+ monthly active users with reasonable headroom to scale without avoidable rework, security degradation, or performance issues. - Security posture: SOC 2 readiness should be considered from day one; certification may occur later. - Meetings: One weekly video sync of up to 60 minutes may be scheduled by mutual agreement and should be accounted for in the contractor’s proposed budget. ## Overview We are building a production-grade, multi-tenant SaaS web application designed for enterprise-level scale, security, and reliability. The application may handle employee data and is being built with SOC 2 readiness in mind from day one. This is a bootstrapped project. Speed and lean execution are critical, and every decision should balance quality with pragmatism. The product is being designed to last, scale, and withstand technical, security, and operational scrutiny. We are seeking a U.S.-based individual senior full-stack engineer who can personally lead the web app development scope through production-ready implementation, end to end. No outsourcing outside the U.S. No agencies. ## Technology Stack - Front-end: Next.js App Router, TypeScript, Tailwind CSS - Backend / API: Next.js API Routes, Supabase Edge Functions, FastAPI / Python - Database: Supabase PostgreSQL - Authentication: Supabase Auth, OAuth, SSO, MFA - Authorization: RLS / Row-Level Security, RBAC - Realtime: Supabase Realtime - LLM / AI: OpenAI / Anthropic / Gemini-compatible LLMs - Billing: Polar.sh - HRIS Integration: Unified third-party connector - Email Delivery: Resend - Analytics: PostHog - Error Monitoring: Sentry - Infrastructure: Vercel + Supabase - CI/CD: GitHub Actions - Testing: Vitest / Jest, Playwright - AI Agents: Agentic workflows, tool use, and related architecture - MCP Integrations: MCPs for ChatGPT, Claude, Gemini, or similar environments - Additional technologies may be used. ## What We Are Looking For - Experienced full-stack SaaS product engineer with a strong, verifiable portfolio - Deep expertise in Next.js and TypeScript - Production-grade Supabase experience, including RLS, Realtime, and Edge Functions - Python back-end development experience with LLM integration, including RAG pipelines, memory, or fine-tuning workflows - Experience implementing subscription lifecycle flows and seat-based access control end to end - A genuine standard for clean, well-organized, maintainable code - Demonstrated ability to design systems that can scale horizontally without structural rework - Demonstrated ability to work efficiently in a lean, bootstrapped environment - Security-first development practices, especially when handling sensitive or regulated data - Clear, prompt professional communication - Experience building AI agents or agentic workflows - Experience building MCP integrations for ChatGPT, Claude, Gemini, or similar platforms - Experience designing hierarchical multi-tenant account structures with seat-based access control ## Strongly Preferred - Hands-on experience building RAG pipelines and LLM fine-tuning workflows in production - Experience handling employee or HR data, including PII access controls, audit trails, and data residency considerations - Experience building toward SOC 2 readiness in a prior engagement - HRIS or enterprise HR system integration experience - Familiarity with OWASP, NIST CSF, or CIS Controls ## This application is being built to last and may handle sensitive employee data. We are looking for an engineer who takes code quality, data responsibility, lean execution, and long-term system health seriously. ## Please answer all 5 screening questions in your response. ## Communication - Contractor should identify normal availability windows and provide timely responses, generally within one business day during those agreed availability windows. - Day-to-day communication will generally be async through the applicable platform or contract workroom. - One weekly video sync of up to 60 minutes may be scheduled by mutual agreement for status updates, completed-work summaries, blockers, and upcoming priorities. Contractor should account for this meeting time in the proposed hourly rate or budget. - Pre-engagement sales, proposal, or introductory scoping discussions are not billable. ## Confidentiality and IP Project details are shared only after the client’s NDA is executed. If both parties decide to move forward, a separate IP Assignment Agreement is required before any offer is accepted or substantive work begins. This is an independent contractor / hourly engagement only and does not include full-time employment, salary, benefits, equity, revenue share, product ownership, or any ongoing engagement beyond the agreed scope.

Title: React Developer — CRM Integration (Freelance / Contract) We're looking for an experienced React developer to help finalize a custom-built CRM for a creative services company. The app is already live and functional — we need help integrating third-party APIs including Pipedrive, Google Workspace (Gmail, Drive, Calendar), JustCall.io, and Markup.io, plus wiring up AI tools (Gemini, Gamma.app). Stack: React, Vite, Tailwind CSS, Base44 (BaaS), Deno backend functions What you'll do: - Connect OAuth-based integrations (Google, Pipedrive, JustCall) - Build automated email/workflow triggers via backend functions - Polish UI components and fix edge-case bugs Ideal candidate: 3–5 yrs React experience, comfortable with REST APIs and OAuth flows, bonus if you've worked with Pipedrive or Google Workspace APIs. Estimated: 60–100 hrs | Milestone-basedThis is a part-time engagement for 1 to 3 months. Freelancer Project Brief — Flyer View Group CRM Project Overview Flyer View Group is a geospatial marketing firm that produces custom murals, posters, story maps, and dynamic map programs for commercial real estate and economic development clients. We have a custom-built internal CRM (built on Base44, a React + Vite + cloud-backend platform) that manages the full lifecycle of prospects, deals, contacts, organizations, and projects. We need an experienced freelance full-stack developer to: Complete and stabilize all existing CRM functionality (described below) Wire up live integrations with our third-party tool stack Deploy and test the system so it's production-ready for daily use by a small team What's Already Built The CRM currently includes: Dashboard — activity summaries, pipeline metrics, revenue charts Prospecting — outreach tracking with AI-assisted qualification Contacts & Organizations — tabbed detail slide-over panels, quick actions Pipeline — Kanban-style deal board with stage drag-and-drop Projects — grid/list views with Pipedrive-style project cards, stage transitions, subscription tracking Activities/Tasks — logging, scheduling, assignments, priority tracking Mail page — stub ready for email integration Backend functions — deal-to-project conversion, proof tracker, subscription renewal alerts, outreach automation stubs AI Assistant — global sidebar AI agent (Base44 in-app agent) Work Required 1. Polish & Wire Up Internal Functionality Fix any broken UI states, edge cases, or incomplete components Ensure all entity relationships (Deal → Project → Contact → Org) work end-to-end Complete the proof versioning workflow (version bump → task creation → notification) Finalize subscription renewal alert automation (60/30 day triggers) Ensure all slide-over detail panels are fully functional with edit/save/delete 2. Third-Party Integrations Service Integration Goal Google Workspace (Drive, Gmail, Calendar, Docs) Auto-link Drive folders per project; log emails as activities; sync calendar events to Activities; create Docs from project templates Pipedrive Two-way sync of Deals, Contacts, and Organizations via Pipedrive REST API; map CRM stages to Pipedrive pipeline stages Markup.io Embed or deep-link Markup.io review sessions to project proof records; store review URLs on the Project entity JustCall.io Click-to-call from Contact/Prospect records; log inbound/outbound calls as Activities automatically via JustCall webhook Gemini (Google AI) Power AI-assisted prospect qualification scoring, outreach message generation, and project notes summarization via Gemini API Gamma.app Store and display Gamma presentation links per project (partially built); add ability to generate a Gamma link stub from within the project record app.atlas.co Store and display Atlas map links per project; integrate link management into project detail panel 3. Automation Wiring Connect existing backend function stubs to real API calls Set up and test all Base44 automations (entity triggers + scheduled tasks) Ensure webhook endpoints are secured and validated 4. Testing & Documentation End-to-end QA of all workflows Document integration setup steps (API keys, webhook URLs, OAuth scopes) Provide a brief handoff guide Required Qualifications Must Have: 3+ years of React development (hooks, React Query, component architecture) Experience with REST API integrations and OAuth 2.0 flows Familiarity with webhook-based event handling Strong JavaScript/TypeScript skills Experience integrating Google Workspace APIs (Drive, Gmail, Calendar) Ability to read and work within an existing codebase without rewriting everything Nice to Have: Prior experience with Pipedrive API or similar CRM APIs Experience with Base44 or similar BaaS platforms (Supabase, Firebase) Familiarity with JustCall, Markup.io, or annotation/review tools Experience with Gemini / Google AI Studio APIs UI/UX sensibility to maintain the existing dark, premium SaaS design system Tech Stack Document Frontend Layer Technology Framework React 18 (Vite) Routing React Router v6 State / Data Fetching TanStack React Query v5 Styling Tailwind CSS v3 Component Library shadcn/ui (Radix UI primitives) Icons Lucide React Animations Framer Motion Charts Recharts Drag & Drop @hello-pangea/dnd Forms React Hook Form + Zod Date Utilities date-fns Backend / Platform Layer Technology Platform Base44 (BaaS — database, auth, functions, agents) Backend Functions Deno Deploy (TypeScript/JS serverless handlers) Database Base44 managed NoSQL (entity-based schema) Auth Base44 Auth (JWT, Google OAuth, email/OTP) File Storage Base44 Storage (public + private file URLs) AI / LLM Base44 InvokeLLM (OpenAI GPT-4o-mini default; Gemini configurable) In-App Agent Base44 Agent SDK (chat UI + tool permissions) Automations Base44 Automations (scheduled, entity-triggered, connector webhooks) Integrations Required Service Auth Method API Type Google Workspace (Drive, Gmail, Calendar, Docs) OAuth 2.0 (Base44 Google connector) REST + Webhooks Pipedrive API Token / OAuth REST Markup.io API Key REST JustCall.io API Key + Webhooks REST + Webhooks Google Gemini API Key (Google AI Studio) REST Gamma.app Manual URL (no public API) Deep Link app.atlas.co Manual URL / API Key (if available) REST / Deep Link Infrastructure Notes All backend logic runs as Deno serverless functions — no Node.js, no Docker Secrets/API keys stored as Base44 environment variables (never in source code) No separate database or hosting needed — Base44 handles all of it The codebase is a single React SPA deployed via Base44's hosting Deliverables Fully functional CRM with all existing features working Live integrations for all 7 services listed above All Base44 automations configured and tested API key / webhook setup documentation Handoff notes for ongoing maintenance Estimated Scope ~80–120 hours depending on experience level with the tools involved. Fixed-price bids preferred with milestones. Please include examples of prior CRM integrations or API work in your proposal. Platform: Base44 (base44.com) — Freelancer must be comfortable reading existing React/Deno code and working within the Base44 ecosystem. A 1-hour paid discovery call is required before work begins.

We are looking for 2-3 AI engineers/developers to help us build/complete an AI go-to-market (GTM) tool that looks at both structured and unstructured data, runs it all through our AI engine, and provides insights and recommendations straight to sales people. The tool is able to handle large volumes of data and provide actionable insights for business decision-making. Our engine consists of a prioritization algorithm, pattern matching and sentiment analysis. We use our recommendation engine to deliver the output (insights) straight to our tool which is "Apple-simple", intuitive and gamified. No more sales time wasted on looking at dashboards and trying to agree on which insights are important and which should be acted on. What you'll do Own features end-to-end across theFastAPI backend (IEngine) and Next.js 15 / React 19 frontend— from Claude prompt design to UI polish. Extend the intelligence pipeline: meeting ingestion (Google Drive + Deepgram realtime), Claude-driven action card generation, Neo4j relationship graph, and Supabase-backed state. Build customer-facing dashboard surfaces — deals, gamification, coaching, trust graph — with TypeScript, Tailwind, shadcn/ui, and D3. Operate WebSocket transcription sessions and async job pipelines reliably under real meeting load. Instrument with Sentry, harden auth (NextAuth :left_right_arrow: JWT :left_right_arrow: FastAPI service-to-service), and keep deploy pipelines green. Build with simulators: when you can't test against live meetings, generate realistic synthetic transcripts through our simulator service. Stack you'll work in Backend: Python 3.11, FastAPI, Uvicorn, PyJWT, Anthropic SDK, Deepgram, Neo4j, Supabase (Postgres + realtime), WebSockets Frontend: TypeScript, Next.js 15 (App Router), React 19, NextAuth 5, Tailwind, shadcn/ui, D3, Stripe Infra: Fly.io, GitHub Actions, Sentry, Supabase AI: Claude (Opus/Sonnet) for transcript analysis, action card generation, and agentic dev workflows What we're looking for 4+ years building production web applications, ideally across Python and TypeScript. Comfort designing and shipping features against an LLM API — prompt iteration, structured outputs, evals, cost/latency tradeoffs. Real Claude or OpenAI production experience required. Experience with multi-tenant SaaS patterns, JWT auth, and one or more of: graph databases, realtime systems, audio/transcription pipelines. Comfort with AI-assisted development workflows (Claude Code, Cursor, etc.) — not just as a code-completion tool, but as a way to plan and ship features. Bias toward shipping. Small surface area, high ownership, no committee.

Founding Product Engineer Scottsdale, AZ (In Person Preferred) | Full-Time | $10,000/month Help Build the Future of Real Estate Real estate is one of the largest industries in the world, yet most brokerages still rely on disconnected software, spreadsheets, manual processes, and inconsistent coaching to develop their agents. We're changing that. PCx is building the operating system for real estate organizations: a single platform that brings together onboarding, training, coaching, performance management, business planning, accountability, AI, and leadership into one modern experience. Our mission is simple: Help brokerages develop better agents, faster, at scale. We've already invested heavily into building the platform and have an experienced overseas development team. We're now looking for a Founding Product Engineer to become our technical leader in Arizona, someone who can own the product, move quickly, make smart technical decisions, and help build a world-class software company. This isn't a corporate engineering job. This is an opportunity to help build something meaningful from the ground up. About the Role You'll work directly with the founder to translate product vision into exceptional software. You'll be expected to think like both an engineer and a product leader, understanding the business, improving the product, writing production code, reviewing architecture, and helping lead development across our engineering team. We're looking for someone who enjoys solving hard problems, moving fast, and taking ownership. Responsibilities * Lead development of our SaaS platform alongside an existing engineering team * Write high-quality production code across the full stack * Design scalable architecture and technical solutions * Review code and maintain engineering standards * Translate product ideas into technical implementation plans * Collaborate directly with the founder on product strategy and roadmap * Improve user experience through thoughtful product decisions * Build and integrate AI-powered features using modern LLM technologies * Help hire, mentor, and grow the engineering team over time * Continuously improve platform performance, scalability, and reliability Ideal Experience * Strong experience building modern SaaS applications * Expert with React, TypeScript, Node.js, and PostgreSQL * Experience designing scalable software architecture * Experience working with cloud infrastructure (AWS preferred) * Familiarity with AI technologies, OpenAI APIs, and LLM-powered applications * Startup experience or a desire to build in a fast-moving environment * Strong communication skills with the ability to explain technical decisions clearly * Willing to work from or relocate to Scottsdale, Arizona What Success Looks Like Within your first year, you'll become the technical leader behind a platform with the potential to transform how thousands of real estate professionals learn, grow, and build their businesses. As the company grows, this role's salary will grow proportionally, and quickly. If you're looking to move fast and make a meaningful change in both the real estate industry, and eventually other sales industries, lets talk.

I need an expert senior software engineer that can provide consulting services around implementation best practices of LLM's and AI into existing application workflows. i.e. leveraging AI to extract data from a document as part of an ingestion pipeline.

We’re a product-focused team developing an AI-driven SaaS platform aimed at improving how businesses handle information, workflows, and internal processes. We’re looking for a developer who can build a smart feature that allows users to interact with their data and documents in a more automated and intuitive way. The goal is to reduce manual effort and enable faster, more informed actions through AI. This role involves designing and implementing the core logic behind the feature, connecting AI capabilities into the product, and ensuring everything works smoothly within the existing system. You should be comfortable building end-to-end functionality, working with modern web applications, and integrating AI services into real user-facing features. Experience with AI-powered products, automation tools, or data-driven applications is highly relevant.

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.