## 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.

Project: Exponentials – AI-Powered Personalized Discovery Platform Overview Exponentials is an AI-powered personalized discovery platform built around a simple but ambitious idea: The internet is optimized for search, advertising, and recommendation systems that push information toward users. We believe the next major category is personalized discovery: AI systems that understand intent and help users discover the most relevant products, services, experiences, education, healthcare resources, media, travel opportunities, software, and knowledge. We have already built a working investor-facing prototype: https://pull-discovery-core.base44.app The current demo allows users to enter natural-language queries and receive AI-generated discovery recommendations across multiple categories. Rather than simply returning traditional search results, the platform attempts to identify user intent, explain why recommendations were selected, and surface relevant discoveries spanning products, experiences, education, media, travel, wellness, software, and more. The visual design and core concept are strong. The next stage is transforming the prototype into a compelling investor-ready product while building the systems, automation, and fundraising infrastructure needed to support rapid growth. This is not a typical freelance coding project. We am looking for someone who can operate as a founding-level contributor and help bridge product development, investor readiness, fundraising operations, and strategic execution. Primary Mission Your primary mission is to help Exponentials become significantly more attractive to investors, strategic partners, and future customers. This includes strengthening the product itself, improving investor confidence, and creating the operational systems needed to raise capital efficiently. Primary Responsibilities Investor Readiness and Fundraising Infrastructure This is the highest-priority responsibility. Help design and implement systems that support fundraising, including: Investor CRM Investor pipeline management Investor segmentation Relationship tracking Outreach automation Follow-up systems Meeting scheduling workflows Investor updates Data room organization Due diligence preparation Fundraising dashboards Pipeline analytics Experience with tools such as HubSpot, Airtable, Clay, Notion, Apollo, Instantly, Zapier, Make, Gmail automation, and similar platforms is highly valuable. Investor Demo Optimization The Exponentials demo is intended to help investors understand the long-term vision of personalized discovery. Responsibilities include: Improving demo quality Strengthening credibility Improving recommendation quality Eliminating weak or broken experiences Creating compelling investor journeys Improving onboarding Improving first impressions Increasing confidence in the product vision The goal is to create a demo that immediately communicates why Exponentials could become an important platform category. Discovery Engine Improvement The product currently attempts to identify intent and recommend discoveries across multiple industries. Areas of focus include: Intent detection Entity discovery Recommendation quality Result ranking Trust and credibility Explanation systems Entity resolution Verified recommendations Multi-category discovery experiences Categories include: Ecommerce Education Healthcare Media Travel Experiences Restaurants Wellness Software Consumer products Experience with recommendation systems, search, retrieval, ranking, AI workflows, knowledge systems, or discovery products is highly desirable. Exponentials Investment Thesis Why this is inevitable — 8 core arguments 1 Exponentials is solving the AI backlash via the co-evolution of AI and humans in the service of human needs, and thus moving from the current extraction model of AI to a collaborative model. For Exponentials, this is moving past discovery silos to create unified discovery across (initially, $25 trillion TAM) Ecommerce, healthcare, education and media. This is accomplished through the combination of Search, LLM's and World models 2 AI can't be (optimally) successful if too many of its (potential) customers are fearful of or dislike AI 3 AI is feared and disliked (in addition to loved), as customers are smart enough to realize that AI is employing an extraction model on humans rather than a collaborative model with humans in the service of human needs 4 Major tech CEO's telling the public that they are wrong to have negative views about AI is insulting one's customer 5 If the AI industry wants to get into a war with the public it will be a stalemate at best. AI has enough perceived benefits already and the AI companies are powerful enough that they can impose their will on the public to a certain degree, but 6 It is inevitable that the AI companies who actually give the customers what they want and what truly benefits them, by flipping from the push to the pull model, will have a sustainable competitive advantage, with both inevitability and defensibility. 7 Famously, the future is already here. It is just not evenly distributed. And famously, there is nothing more powerful than an idea whose time has come. 8 We are not selling technology. We are not selling a model of AI. We are selling an empowered path for humanity that is inevitable and defensible because the AI backlash is real and not sustainable long term.

We are a medically backed, pre-seed healthtech platform preparing for an immediate enterprise pilot deployment. Our core user interface, interactive data features, and content architecture are functionally built utilizing modern AI-assisted development tools. We are seeking a senior, hands-on engineer with specific healthtech deployment experience to serve as our Execution Contractor for an immediate hardening sprint. You will own the backend security architecture, external cloud infrastructure configuration, and technical compliance validation required to transition our high-fidelity MVP into a secure production environment. What You’ll Do Harden Backend Security: Transition frontend route guards into strict, server-side authentication and authorization boundaries across all data-access paths. Architect Secure Infrastructure: Migrate core data architectures out of staging environments and securely provision an external, HIPAA-compliant cloud database tier. Manage Vendor & Compliance Workflows: Audit our technical vendor stack to securely embed enterprise API protocols, ensuring strict data handling and compliance alignment across all integrated platforms. Validate & Sign-Off: Run edge-case testing and performance audits to completely secure data handling pipelines, delivering a technical go/no-go sign-off for our upcoming pilot cohort. The Technical Stack Frontend: React 18+, TypeScript Backend: Node.js, Express.js Database/ORM: PostgreSQL via Drizzle ORM Environment/Tooling: WebSockets, Enterprise AI APIs, Secure Cloud Infrastructure (AWS / Supabase) Who You Are A seasoned full-stack or backend engineer with a proven track record of successfully deploying applications into live clinical, medical, or heavily regulated environments. Deeply knowledgeable in server-side encryption, data pseudonymization, and secure cloud networking. Highly comfortable inheriting, auditing, and optimizing architectures built alongside AI-assisted development workflows. An execution-focused builder who thrives in high-velocity sprints and values absolute production discipline. To Apply: Please submit your proposal directly through Upwork with a brief summary of your healthtech deployment experience, specifically highlighting your experience with secure data pipelines, PostgreSQL, and HIPAA configurations.

We are seeking a US-based computer vision and full stack developer to build a platform for sports card recognition. The project includes developing subscription management, dashboards, and user account features. The ideal candidate will have experience creating scalable applications and integrating computer vision capabilities into a user-friendly platform. Hiring: Computer Vision + Full Stack Developer for Sports Card Live Auction Overlay App (SaaS) 📌 Overview I’ve built an MVP of a real-time sports trading card scanning and comping overlay tool using Loveable.dev. The product helps buyers gain an edge during live auctions by instantly identifying cards and showing real-time market comps. Now I’m looking for a U.S.-based developer (or strong US-aligned freelancer) to take this from MVP → production SaaS. This is a subscription-based product, so I need someone who can help build something fast, accurate, scalable, and hard to replicate. 🧠 What the product does Users can: Capture or upload sports trading card images during live auctions (mobile + desktop) Instantly identify: Player Year / set Parallel / serial number Pull live market comps Display a real-time “buy / avoid / fair price” overlay The goal is speed + accuracy in live buying situations (seconds matter). ⚙️ What I already have MVP built in Loveable.dev Basic overlay + UI flow Initial comp logic concept Subscription idea (not yet fully implemented) 🛠️ What I need help building (Phase 1 → Scale) I’m looking for someone to help rebuild and harden the system into a real SaaS product: 1. Computer Vision / OCR Layer Card detection from images (mobile + desktop) OCR extraction (player name, set, serial numbers) Image recognition / matching to known cards Confidence scoring (very important — must avoid wrong matches) 2. Comp Engine (Core Value) Integrate or build system for: eBay sold listings 130point or similar comp sources Card Ladder / ALT-style pricing logic Return: last sale average comp trend direction liquidity estimate 3. Real-Time Overlay System Lightweight overlay that works during live auctions Low latency (fast lookup is critical) Works on mobile + desktop workflows 4. SaaS Infrastructure User accounts + authentication Subscription billing (Stripe) Usage tracking / rate limiting Admin dashboard 5. Scaling / Production Hardening API architecture improvements Database structure Performance optimization for real-time use Error handling for imperfect images 💡 Ideal candidate You should have experience with: Computer vision (OpenCV, YOLO, or similar) OCR pipelines AI image classification or similarity matching Full-stack SaaS development Stripe subscriptions API design (Node.js / Python / Next.js preferred) Huge plus if you have: Sports card / collectibles knowledge Experience with marketplaces or scraping pricing data Real-time / low-latency systems 🎯 Why this is interesting This is not a generic app. It’s: A real-time decision engine for high-value collectibles Built for a passionate, high-spend niche (sports cards) Subscription-based with strong monetization potential Designed for speed advantage in live auctions 📍 Requirements Must be U.S.-based (preferred for communication/time zone alignment) Must be able to work independently Must have strong GitHub/code examples Bonus if you’ve built AI or vision-based SaaS tools before 💰 Budget Open to: Hourly or fixed project 📩 To apply, please include: Relevant CV / GitHub Past AI / computer vision projects Any SaaS or startup experience Your approach to building a real-time image → comp system Availability per week

Title: Claude AI Trainer & Automation Expert for Executive Teams We are looking for an exceptional Claude AI expert, trainer, and automation consultant to work directly with our team. This is not a development role. We need someone who can teach, coach, and help teams become dramatically more productive using Claude. You will work with small groups of 5–7 people, running live training sessions and helping participants identify opportunities to automate workflows, improve decision-making, accelerate research, create content, and build AI-powered processes. The ideal candidate is both highly technical and an outstanding communicator who can explain complex concepts to non-technical professionals. Responsibilities: * Conduct live Claude training sessions for small groups * Teach advanced prompting techniques * Help teams automate repetitive business tasks * Identify high-ROI AI use cases across departments * Build practical Claude workflows and templates * Create training materials and playbooks * Provide ongoing coaching and office hours * Stay current with the latest Claude capabilities and AI tools Requirements: * Deep expertise with Claude and AI workflows * Exceptional communication and teaching skills * Experience training business professionals and executives * Strong understanding of business operations and process automation * Ability to simplify complex concepts * Experience creating AI-driven productivity systems * Comfortable leading interactive workshops and Q&A sessions When applying, please answer: 1. How long have you been using Claude professionally? 2. What organizations or teams have you trained? 3. What are the most valuable Claude automations you have implemented? 4. Describe a training program you designed and delivered. 5. How would you structure a 4-week Claude training program for a team? 6. Please provide links to videos, workshops, presentations, or training materials you have created. 7. What differentiates you from other AI trainers? 8. What is your hourly rate and availability? We are looking for someone who can become a trusted advisor to our organization and help our teams successfully adopt AI at scale.

DataSci Technologies, Inc. is an enterprise software C-Corp. We own our domain (datascitechnologies.com) and have finalized our independent institutional asset valuation. We are seeking an elite, Expert-level Full-Stack Product Architect / Fractional CTO to build the V1 / MVP layout of our proprietary predictive AI platform, the DST Codex, from the ground up. The Product & Target Audience: The DST Codex is a secure, high-end portal built specifically for institutional asset management firms and real estate conglomerates managing $250M to $10B+ in AUM [1.1]. The platform maps out, quantifies, and visualizes hidden operational risk metrics—known as "Shadow Variables"—to protect institutional capital. The user interface must look like a premium, dark-mode institutional banking terminal. Required Technical Scope (Full Lifecycle Build):Infrastructure & Security: Secure database architecture setup using AWS or Google Cloud Platform with enterprise-grade encryption. Front-End & Interface: Building a pristine, highly aesthetic, dark-mode responsive dashboard layout (React, Vue, or enterprise visual frameworks like WeWeb/Bubble). The Core Visualization Layer: Engineering interactive, custom open-source data tracking charts (utilizing D3.js or high-performance visualization packages) to map out predictive risk telemetry. User Auth: Airtight, password-protected multi-tenant user authentication and client login portals. Project Structure: We are a capital-efficient C-Corp moving at high velocity. We are looking for an experienced product builder who can act as a long-term technical partner. Please share your portfolio of completed SaaS platforms/dashboards, outline your architectural recommendations, and state your standard fixed-price or monthly fractional structures for a 60-day development milestone sprint.

I am building a daily AI voice call service called Still Here for seniors. Every morning, a warm familiar voice calls each member by name, remembers what they said last week, and has a real conversation — not a check-in, not a menu, not a script. A genuine morning conversation. All conversation scripts are already written. I provide everything. I need technical setup only. WHAT I NEED: • Retell AI account configured with HIPAA BAA signed • Florida phone number purchased and connected • Warm natural voice selected (must not sound robotic or rushed) • 7 conversation flow pathways built from my written scripts • Scheduled daily outbound calls at member-specified times • Call transcripts emailed after each call • Missed call alert system • Airtable integration for member management • 1-hour handover call — train me to manage everything going forward. CRITICAL FOR THIS PROJECT: Latency and voice warmth matter more than anything else. The person on the other end is a senior who may be lonely or uncertain. An awkward pause or robotic response breaks everything we are building. You must have experience with warm, natural outbound conversational agents — not just inbound IVR systems or chatbots. PLEASE INCLUDE IN YOUR PROPOSAL: • Your Retell AI experience specifically — projects completed • A phone number I can call to hear one of your Retell AI builds • Your approach to minimizing latency for natural conversation • Your estimated timeline • Confirmation you will sign an NDA before project details are shared A signed NDA is required before any Still Here materials are shared.

We are looking for an expert backend developer and automation engineer to extend an existing, production-grade Model Context Protocol (MCP) server and overhaul its orchestration layer. The headline correction for this project: the existing Lawfather MCP is to be retained and extended, not rebuilt. It already exposes deterministic, parameterized Playwright tools for every required county portal (District Clerk, HCSO, HCDAO) and a client database. Those backend tools are the reliable layer and are not the source of the instability this project exists to fix. The instability lives entirely in the orchestration layer — the model-driven layer that decides when and how to call the tools. The fix is to move deterministic control out of model-followed prose and into code, and to host the agent on an always-on machine with persistent memory. Core Project Principles • Extend, Don't Rebuild: Retain and extend the existing MCP; do not re-implement portal scrapers from scratch. • Code Over Prompts: Deterministic logic lives strictly in tool code, never in instructions the model must remember each session. • No Caller Loops: Batch operations must run to completion server-side. No operation may require the caller (model) to loop. • Agnostic Architecture: The system must remain model-agnostic and host-agnostic. No single provider — Anthropic, OpenAI, Z.ai/GLM, or Nous — may be a hard dependency. • Privilege First: Client data stays on owned hardware; the model is never the gatekeeper of which case a file belongs to. Existing Tool Inventory (To Be Inherited As-Is) The following tools already exist on the production MCP (containerized on a local Synology NAS) and are in daily use. Re-deriving their behavior is completely out of scope: • hcdc_get_docket: Court settings by date range + bar number (District Clerk). • hcdc_check_filings: Per case: standard defense filings present vs. missing. • hcdc_download_filings: Images-tab documents: bulk OR selective by filters; dest_subfolder; dry_run. Note: The parameterized download tools already cover most retrieval requests. "All filings," "this filing," "all subpoenas," "all resets," and "everything filed that day" are argument combinations on this tool, not separate features. • hcso_locate: Defendant custody location (facility / floor / pod) by SPN. • hcdao_grab_file: Download a single named file from the DA portal Files tab. • hcdao_download_discovery: Batch / delta discovery download from the DA portal. • hcdao_download_media_alert: Batch-download files listed in a 'New Media Available' portal email. • hcdao_case_summary: Scrape the Case Jacket quick summary / DAO narrative. • hcdao_plea_offer: Scrape current plea offer + full offer history. • hcdao_assigned_ada: Assigned ADA name / email / phone on a case. • lookup_client / list_clients: Resolve / list clients from the shared client database. Scoped Work (Paid Deliverables) 1. County Case Resolver (New Tool): Find a case from partial identifiers — any subset of (name, SPN, DOB, court, cause). Searches county systems (not just the local client DB). MUST return a ranked candidate list for the user to choose from; MUST NEVER auto-select. Wrong-defendant selection is a privilege failure, not a cosmetic bug. 2. Latest-Version Retrieval: Add scope=latest to hcdao_grab_file so 'most recent' selects the newest among supplements instead of the first match. 3. Async Transcribe Tool (Skill to Tool Promotion): Build a deterministic MCP tool using Gemini 3.1 Pro Preview for transcription, followed by a second pass that sends the transcript back with case context for cleanup (speaker mapping, defense-moment preamble). Long-running: implement as an async job (submit to job id to poll to fetch), NOT a synchronous call. 4. OCR Tool (Skill to Tool Promotion): Implement a readability check on ingest. If a document is not cleanly readable, FLAG it and ASK before sending to Gemini 3.1 Pro Preview for OCR. OCR must be gated and confirmed, never automatic. 5. Server-Side Batch Jobs: Move all chunk, loop, delta, and throttle logic OFF the caller and INTO the tool code. One call runs the batch to completion. 6. Queued HCDAO Fixes: For hcdao_download_discovery, add a portal_ids filter for targeted single-file pulls and a custom output-path / Drive-folder destination feature. Known Portal Quirks to Handle from Day One • hcdc_get_docket returns a broader date range than requested; results must be filtered to the requested window. • hcdao_download_discovery delta detection is blind to files organized into dated subfolders and must be explicitly handled. • Court DG7 does not surface through standard bar-number docket lookup and requires separate handling. • The Playwright Node.js driver subprocess can die silently while database tools respond; you must health-check the driver proactively. Orchestration, Host Layer, & Deployment Topology • Target Host: Hermes Agent (Nous Research) running as the persistent shell, providing persistent memory, the scheduler, and messaging surfaces. The MCP server will plug directly into it. • Agnostic LLM Routing: Default the agent/dispatch role to the most reliable tool-calling model (currently Claude Opus). Route bulk, non-critical generations (draft summaries, transcript cleanup) to a cheaper model (e.g., GLM-5.2). No provider may be hard-wired. Per-tool pins are allowed strictly for transcription/OCR tasks (pinned to Gemini 3.1 Pro Preview). • Memory Fencing: Hermes's persistent memory and learning loops must remain enabled to accumulate facts and user preferences. However, the agent must be strictly fenced from self-editing or rewriting its own mechanical execution paths (portals, downloads, filings), which must remain frozen in MCP tool code. • Hardware Deployment Infrastructure: • Always-on Brain: M1 Pro MacBook Pro (16 GB, mains-powered, lid open) running the Hermes gateway, Messages.app, and a BlueBubbles iMessage bridge. Must be fully automated via launchd services to handle headless crash recovery, auto-login, and sleep prevention (pmset autorestart / caffeinate). • Tools and Storage: Synology NAS (10.0.0.149) hosting the Lawfather MCP container, local client folders, and Drive sync. • Private Network: Tailscale mesh across all devices for secure remote access without open inbound ports. Acceptance Criteria for Sign-Off • No batch operation requires the caller to iterate. • The case resolver returns ranked candidates and never auto-selects. • Transcription runs seamlessly as an async two-stage job surviving multi-hour files without timing out. • OCR never fires automatically on low-readability files without gated confirmation. • Zero regressions on the existing MCP tool inventory. • The Resiliency Test: The full stack successfully restarts completely unattended after a host reboot or simulated power loss, and is reachable via iMessage/SMS immediately after. • Self-editing is fenced on mechanical download/filing paths. Hard Guardrails • Privilege: Downloads route strictly to the correct client folder; a wrong-case match is treated as a severe defect, not a warning. Privileged audio/discovery data stays on owned hardware where the chosen model allows. • Determinism: Repeatable steps live entirely in tool code, never in prompts. • Agnosticism: Model and host layers must remain fully swappable without modifying the core MCP tools. Before quoting "done," you will be expected to confirm live portal behaviors regarding District Clerk document labels, DA portal stable identifiers, and county search surfaces. How to Apply Please submit a proposal detailing your specific experience with MCP architectures, Playwright browser automation, and macOS/Docker DevOps automation. Anti-Bot Filtering: To prove you read this entire scope, please start your application with the phrase "PROTECT THE LAW" in all caps. Automated or generic copy-paste applications will be instantly rejected.

search/ABLE: Making Travel Searchable for All Disabilities We're building the accessibility intelligence layer for travel. search/ABLE maps 300+ hotel accessibility datapoints to a structured taxonomy — powering the search and booking experience that 1.3 billion travelers with disabilities have never had. The MVP is live. Seeking someone to help scale the platform. The right candidate will be able to: Build code using an AI agent — this is an AI-native product development PostgreSQL database architecture and data integrity API design for third-party integrations (travel agencies, online booking tools, partners) Role-based permissions and enterprise-level security Workflow orchestration across the platform If you are seeking to join a start up with: Meaningful societal impact Real solution for a real problem Founder with deep industry knowledge and a network of customers to implement A live MVP — not a pitch deck An advisor role with a clear path to cofounder for the right person This would start as an hourly rate with co-founder potential.

COREX MVP Native-feeling iOS and Android app (using a cross-platform framework like Flutter or React Native) User login and profiles COREX onboarding assessment (goals, experience, injuries) AI-generated 15-minute rotational workouts Exercise library with videos and instructions Workout timer and progress tracking Basic AI chat coach for workout and recovery questions Subscription/payment integration Admin portal to add or update workouts and content Save for Version 2 These are valuable, but they can wait: Camera-based form analysis Wearable integrations Advanced nutrition planning Community features Leaderboards and challenges Franchise/business dashboards Live trainer messaging Upwork budget suggestion UX/UI design App development AI integration Testing App Store and Google Play launch That gives you control over quality and payments. One thing I’d add Rather than describing it as just another fitness app, position COREX as a specialized AI rotational training platform. That’s what makes it stand out. For example: “COREX is an AI-powered rotational fitness platform that delivers personalized 15-minute workouts designed to improve core strength, mobility, stability, athletic performance, and functional movement through our proprietary rotational training methodology.” That description is much more distinctive than “fitness app.” My recommendation If I were helping you build this, I’d focus on creating something impressive enough to demonstrate to investors, gym owners, and potential partners—not every feature you eventually want. A polished MVP that users enjoy is often more valuable than a feature-heavy app that’s unfinished. I also think your app could have a clear advantage if it emphasizes the science of rotational training rather than trying to compete with broad fitness apps. That gives COREX a unique identity from day one. The product and program itself is trademarked and patent pending