I need a developer to build an AI visibility audit tool for destination marketing. The core logic is already defined and I have a full spec. I need someone who can build it clean and ship it. What the tool does: it queries ChatGPT, Gemini, Claude and Perplexity with a fixed set of real traveler questions, captures whether a destination shows up and where its competitors land, scores the result, and drafts a short report. Roughly 15+ questions, each run a few times per platform, with web search enabled. What I need built: The query engine across all three platforms, running on my own API keys Integration with my existing scorecard backend A gated flow: a personal emailed link that runs once per user, results delivered by email A saved-run database I can log into and review, so every run is stored from day one Built to be re-run on a schedule later (this becomes an ongoing monitoring product) Two non-negotiables: It runs entirely on my API accounts and keys. Billing and ownership sit with me. I own all code and IP outright. This is a defined, finish-and-ship project, not open-ended. I'll share the full spec with candidates who look like a fit. US-based candidates only. Skills LLM / OpenAI API, Gemini API, Perplexity API, API integration, Python (or your stack — tell me), backend development, database design, prompt engineering If interested, please respond with the following answers to be taken seriously: Describe a tool you've built that calls LLM APIs in production. What did it do and what was your specific role? How would you handle the fact that AI answers vary run to run? How do you make a score that holds up to scrutiny? What's your approach to keeping per-query API costs controlled at volume? Rough estimate on timeline and cost for a project scoped like this.

Contract Full Stack Engineer – Manufacturing Data Platform Development Overview We are seeking an experienced full stack software engineer to design and implement a cloud-based manufacturing data platform to support device production testing, quality tracking, and manufacturing analytics. Our current manufacturing test workflow uses a Windows-based test application that logs production test data into Google Sheets. As we scale production and introduce contract manufacturing, we are transitioning to a structured cloud database architecture using Supabase and PostgreSQL. The contractor will be responsible for establishing the backend data infrastructure, assisting with integrating existing manufacturing test software with the new platform, and developing flexible data visualization and analytics tools for engineering and manufacturing teams. This is an opportunity to build a foundational manufacturing data system that will support production scaling, quality improvements, and future automation. Scope of Work 1. Database Architecture & Supabase Implementation Design and implement a production-ready database architecture using: Supabase PostgreSQL REST APIs Cloud-based authentication and security Responsibilities include: Define database schema for manufacturing test data Create tables and relationships for: - Device serial numbers - Production lots - Firmware versions - Hardware revisions - Test results - Calibration data - Operator information - Failure codes - Manufacturing history - Implement database indexing and optimization - Establish backup and data retention strategies - Configure user access permissions for internal teams and manufacturing partners 2. Manufacturing Test Software Integration Our existing Windows test application currently performs device testing and uploads results to Google Sheets. The contractor will: -Assist team members with replacing Google Sheets API integration with database/API integration -Develop secure REST API endpoints -Integrate authentication between the test application and backend -Design reliable data upload workflows -Handle offline operation and data synchronization considerations -Ensure robust error handling and logging Preferred experience: -C# / .NET desktop applications (current data gathering tools) -REST API development -Cloud database integration 3. Manufacturing Dashboard & Data Analytics Platform -Develop an intuitive interface for engineering, manufacturing, and quality teams. The platform should provide: High-Level Production Dashboards Examples: -Units tested per day/week/month -Production throughput -Pass/fail rates -First pass yield -Failure trends -Failure Analysis Tools Ability to analyze: -Failure categories -Failed test steps -Firmware correlation -Hardware revision correlation -Production lot trends -Time-based trends -Flexible Data Exploration The system should provide spreadsheet-like flexibility similar to Google Sheets pivot tables. Desired capabilities: -Dynamic filtering -Sorting -Grouping -Pivot-style summaries -Custom reports -Export capability (CSV/Excel) -User-defined views The implementation can be: -Web application -Desktop Windows application -Hybrid solution The priority is flexibility, maintainability, and ease of use by engineering teams. Technical Requirements Required experience: -PostgreSQL database design -Supabase platform experience -REST API development -Full stack application development -Data visualization/dashboard development -Cloud application architecture -Authentication and user management Preferred experience: -Quality systems -Production test software -Electronics manufacturing data -Statistical process control (SPC) -Yield analysis Preferred Technology Experience Backend: -PostgreSQL -Supabase -REST APIs -Python, Node.js, C#, or similar backend technologies Frontend: -React / Next.js -TypeScript -Dashboard frameworks -Data visualization libraries Desktop (optional): -C#/.NET -WPF -WinUI Analytics: -SQL reporting -Data aggregation -Pivot-style analysis tools Deliverables Phase 1 – Database Foundation -Supabase project setup -Database schema -Authentication system -API architecture documentation Phase 2 – Test Software Integration -Updated Windows tester integration -Data upload API -Error handling -Production validation Phase 3 – Manufacturing Dashboard -Production overview dashboard -Yield reporting -Failure analysis interface -Flexible data exploration tools Phase 4 – Documentation & Handoff -Database documentation -API documentation -Deployment instructions -Training for internal engineering team Contract position: Estimated duration: 3–6 months initially -Potential for ongoing support as manufacturing systems expand -Remote acceptable Ideal candidate: -Independent engineer comfortable owning architecture decisions -Able to work directly with engineering leadership -Comfortable building an initial system quickly while maintaining long-term scalability About the Product We are developing a battery-powered consumer electronics device transitioning from engineering prototypes into scaled manufacturing. The manufacturing data platform will become a critical component of our production infrastructure, supporting internal engineering teams and external manufacturing partners.

Informativ LLC is the leading provider of fraud prevention, proactive compliance, credit reports, payment calculations, and customer insights to the automotive and general consumer finance industries across the United States. Informativ's software optimizes the consumer finance qualification process, ensures compliance, and enhances profitability through automation and risk mitigation. Informativ is proud to be recognized on the 2025 and 2024 Inc. 5000 list of America's fastest-growing private companies and as a 2024 and 2025 Great Place To Work certified employer. Please visit www.informativ.com for additional information. About the Role We are seeking a Senior PHP Engineer to design, develop, and maintain high-performance web applications and APIs. In this role, you will work closely with product managers, designers, and other engineers to build scalable, secure, and maintainable solutions. You will also play a key role in technical decision making, mentoring junior developers, and improving engineering best practices. Key Responsibilities: • Design, develop, and maintain backend systems using PHP and modern frameworks (Laravel or similar) • Build and maintain RESTful APIs and integrations with third-party services • Optimize application performance, scalability, and security • Write clean, well-documented, and testable code following best practices • Collaborate with frontend, DevOps, and QA teams to deliver end-to-end solutions • Participate in code reviews, architecture discussions, and technical planning • Troubleshoot, debug, and resolve complex production issues • Mentor junior and mid-level engineers and contribute to team growth • Stay up to date with emerging PHP technologies and industry trends Qualifications: • 10+ years of professional software development experience, with strong focus on PHP • Extensive experience with Laravel • Strong understanding of OOP, design patterns, and SOLID principles • Experience with MySQL/PostgreSQL and database design • Proficiency in building and consuming RESTful APIs • Familiarity with Github and CI/CD workflows • Experience with unit and integration testing • Solid understanding of web fundamentals (HTTP, security, caching, sessions) Preferred Qualifications: • Experience with cloud platforms (AWS or Azure) • Frontend exposure (JavaScript, React, or similar) • Experience with message queues (RabbitMQ, Kafka) or caching systems (Redis, Memcached) • Prior experience working in Agile/Scrum environments • Technical mentoring experience Why Join Informativ? We’re a fast-growing technology company where your work will have real impact. You'll be joining a collaborative, forward-thinking environment that values innovation, data-driven decisions, and people-first culture. Informativ is proud to be an equal opportunity employer committed to building a "best in class" work environment. We offer a rich benefit package including paid time off, health insurance, and 401(k).

We are looking to do a new build of our patch bay label designer tool. Customers are currently able to pick their model of patch bay, add text labels, colorize, and group. They can then checkout and it creates print ready artwork for our team to produce. The UI is a bit clunky and there are some features we want to add such as an admin tool to add and edit labels. You can see the current tool here: https://create.traceaudio.com/

## 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.

# Full-Stack AI Engineer — Semantic Search + Next.js + Supabase (Long-Term, Contract-to-Hire) ## About We're building an AI-native platform that makes a large archive of recorded talks genuinely discoverable and useful: need-based semantic search over transcribed media, with a subscription product built around it. We have a clear product vision and architecture and are looking for a lead engineer to build the first version and grow with us long-term. Full product details are shared with shortlisted candidates under NDA — this post focuses on the engineering and the skills we need. ## The engineering challenge You'll build a two-part system that shares one database: 1. **A content pipeline (Python):** ingest recorded talks, transcribe them, chunk and enrich the transcripts with metadata using an LLM API, generate embeddings, and store everything in Postgres. 2. **A web app (Next.js):** fast, crawler-friendly, SEO-strong content pages with structured data; retrieval-based search that returns relevant source material with links/citations; user accounts; and Stripe-gated paid content. We care a lot about retrieval *quality* and clean, maintainable architecture — this is a real product, not a prototype. ## Required tech stack - **App:** Next.js (App Router), TypeScript, Vercel. Strong SSR/SSG, SEO, and JSON-LD structured-data experience. - **AI/backend:** Python; production RAG (embeddings, chunking, retrieval quality); LLM API integration. - **Data:** Postgres + **pgvector** (via Supabase); embeddings via a hosted model (Voyage/OpenAI). - **Auth & gating:** Supabase Auth with row-level security. - **Payments:** Stripe (subscriptions + one-time). ## Required skills - Shipped production Next.js (App Router) + TypeScript apps with strong SSR/SEO. - Built a real RAG / vector-search system in production — not a tutorial clone. - Comfortable in Python for data pipelines. - Postgres + pgvector and Supabase in production. - Stripe integration. - Plans before building; communicates clearly in writing. ## Nice to have - Audio/video transcription experience (Whisper / faster-whisper / Deepgram / AssemblyAI). - Agentic coding workflows (e.g., Claude Code). - Content-heavy SEO products or media libraries. ## Engagement - Hourly, contract-to-hire. ~20–40 hrs/week to start; long-term for the right person. - We start finalists on a **small paid test project** (a single self-contained slice of the pipeline) before the full engagement — that's how we evaluate fit. ## Confidentiality This is a proprietary product. Shortlisted candidates sign a mutual NDA before we share full scope and context. Please don't expect complete product details in the first exchange — strong technical applicants will have everything they need to be evaluated, and the rest follows the NDA. ## How to apply Applications that skip these are ignored: 1. **Start your proposal with the word `pgvector`** so we know you read this. 2. Link **two** projects: one live Next.js/SSR app, and one RAG/embeddings or LLM-integration project. Tell us what *you* personally built. 3. Answer briefly: *An offline embedding pipeline and a live search query must use the same embedding model — why does that matter, and how would you guarantee it?* 4. One line on your approach to chunking long-form audio/video transcripts for good retrieval.

Developer needed to launch a family organizer app (backend + accounts) Short version I’ve already built a working prototype of a family management app. It looks and behaves the way I want. What it can’t do yet is the “behind the scenes” part: save information in one shared place so every family member sees the same thing on their own phone, let each person log in, and send reminder notifications. I need a developer to build that part and get the app live so my family can actually use it on our phones. One thing that matters a lot to me, please read carefully: after you finish, I need to be able to keep changing and improving the app myself, working with an AI assistant — without having to hire or contact anyone again. So everything you build has to be handed over to me completely, written cleanly and simply, and explained well enough that an AI assistant can understand it and help me make future edits. No locked-down systems, no “only I can touch this” setups, no surprise dependencies. I own all of it. What the app is It’s a private organizer for my household (two parents, six kids). It has five sections: • Today — a daily summary for each person (their schedule, their tasks, family meal/afternoon plans). • Schedule — a weekly calendar: who’s driving which kid to which school, each parent’s work day and hours, kids’ activities, meal and afternoon plans. • Chores — daily and weekly tasks you can assign to specific people, and check off when done. • Lists — grocery and supply lists. • Tonight — an evening summary of chores that still aren’t finished. The look, layout, colors, and how everything behaves are already done. I’m not asking you to design anything. I’m asking you to make it real and shared. What I need you to build 1. One shared place to store our information (the part it’s missing most). Right now, anything I type only saves on the device I typed it on. My wife’s phone and the kids’ devices don’t see it. I need all our information kept in one shared online location so that when anyone makes a change, everyone else’s device updates too, within a few seconds. 2. A login for each family member. Simple and family-friendly: you open the app, tap your name from a list, and type a PIN. Once you’ve logged in on your own phone, it should keep you logged in so you don’t have to do it every time. Every person — both parents and all six kids — gets their own login. Parents can edit everything; kids mainly see their own stuff and check off their own chores. The app already has a built-in “who’s using this” concept; your login system just needs to drive it for real. 3. Notifications to people’s phones. • Every morning, each person gets a notification with their summary for the day. • Every evening at 8:00 PM, each person gets a reminder of any chores they haven’t finished that day. The app already knows exactly what each of those messages should say — I just need them actually delivered to phones on schedule. 4. Shared photo proof for kids’ chores. When a kid marks a chore done, the app already makes them take a photo as proof. Right now that photo is stuck on the kid’s device. I need those photos saved in our shared location so my wife and I can see them from our own phones. What “done” looks like • My family can install or open the app on our phones and each log in with our name and PIN. • A change one person makes shows up on everyone else’s device. • Morning summaries and 8:00 PM chore reminders arrive as phone notifications. • Kids’ chore photos are visible to the parents on their own devices. • It runs reliably without me needing to babysit it. Very important: I need to be able to maintain it myself afterward I work on this app with an AI assistant, and I plan to keep improving it that way for a long time. So I’m asking that you: • Hand over everything — all the code, all the accounts and passwords, all the settings — in my name, owned by me. Nothing stays under your account. • Write it cleanly and simply. Please don’t over-complicate it or add tools and layers that aren’t truly needed. The simpler and more standard it is, the easier it is for me and an AI assistant to understand and change later. • Comment and document it in plain terms: what each part does, where things live, and how to make common changes (like adding a person, changing a notification time, or adjusting a list). • Write a short “how it works” guide for a non-developer — how to find things, how to change them safely, and how to undo a mistake. • Avoid lock-in. Use widely used, well-known building blocks (the kind an AI assistant will already understand), not anything obscure or proprietary that only you would know how to maintain. • Do a handoff call or video walking me through it so I’m comfortable taking it from there. If anything about how it’s built would make it hard for me to edit later on my own, please tell me up front. To apply, please tell me • A short note, in plain English, on how you’d approach this — especially how you’ll keep it simple and easy for me to maintain myself afterward. • Whether you’d build it so it works on iPhones and Android (and whether that’s a website-style app or an installable app — explain the trade-offs simply). • A rough estimate of cost and timeline. • One or two examples of similar things you’ve built. A few notes • This is a private app for my family only — not something I’m selling. It doesn’t need to handle thousands of users, just the eight of us. • Privacy matters: it includes my kids’ photos and our daily whereabouts, so it needs to be kept private and secure. • I already have the full working front end (the part you see and tap). I’ll share it with the right person. You’re building the engine behind it and getting it onto our phones.

We are building a HIPAA-compliant SaaS platform for medication stewardship in skilled nursing facilities (SNFs). The platform allows clinical pharmacy consultants and providers to upload scanned medical documents, run AI-powered medication and disease state reviews, and generate clinical findings — all without storing any patient data. This is a focused, well-defined MVP. No scope creep. We need a developer who moves fast, communicates clearly, and has real experience with HIPAA-eligible AWS architecture. Core concept — stateless processing: This platform is intentionally stateless. Documents are uploaded, processed through OCR, analyzed by AI, and the findings are displayed to the user. Nothing is written to a database. No patient data or documents are retained after the session ends. The platform processes PHI transiently and discards it — significantly simplifying the HIPAA footprint while maintaining compliance. What you will build: 1. AWS infrastructure (HIPAA-eligible, stateless) — S3 used only as a temporary processing buffer (files deleted immediately after OCR completes) — AWS Textract for OCR processing of scanned PDFs and images — AWS Bedrock (Claude Sonnet) for AI-powered clinical analysis — AWS Cognito for user authentication only (no clinical data stored) — AWS Amplify or CloudFront for React frontend hosting — KMS encryption for data in transit — All services configured under AWS BAA coverage — No RDS or persistent database required for clinical data 2. React frontend — Clean single-page application — Document upload UI (drag/drop, supports PDF and image files) — OCR text display with basic edit capability before analysis — Free-text question input (user asks Claude questions about the document) — Claude response display panel — Copy to clipboard button on all output — User login and profile page (name, email, facility) — Membership and billing settings page — Stripe monthly subscription integration 3. HIPAA compliance — Stateless architecture — no PHI persisted after session — HTTPS enforced on all endpoints — AWS BAA signed and covering all services — User BAA acknowledgment on signup — Audit logging for access events — Privacy policy and terms of service integration What we are NOT building in this phase: — Mobile app — EHR or PointClickCare integration — Stored intervention history or dashboard — Cost savings calculator — Admin panel — Anything beyond the three core features above: upload, analyze, copy output Ideal candidate: — 3+ years React and AWS experience — Prior HIPAA-eligible AWS builds — please describe your specific experience in your proposal — Hands-on experience with AWS Textract or comparable OCR pipelines — Familiarity with AWS Bedrock or direct LLM API integrations — Experience with stateless or ephemeral data processing architectures — Stripe subscription integration experience — Strong communicator — weekly video check-ins required — Available to start within 2-4 weeks Engagement details: — Estimated scope: 40–60 hours — Timeline: 8–10 weeks — Budget: $2,500–$4,500 USD fixed price preferred — Payment milestones: 25% upfront, 25% at working OCR pipeline, 25% at working Claude integration, 25% at launch — Communication: Weekly video check-in + async messaging How to apply: In your proposal please answer these four questions specifically: 1. Describe a HIPAA-eligible AWS application you have built — what services did you use and how did you handle PHI? 2. Have you implemented stateless or ephemeral document processing before? How did you approach it? 3. What is your experience with AWS Textract or other OCR pipelines? 4. How would you integrate AWS Bedrock or a Claude API call into a React frontend securely? Proposals that do not answer these four questions will not be considered. About us: We are an early-stage clinical SaaS platform founded by a Clinical Pharmacy Specialist. We are building a tool that genuinely improves patient care and safety in long-term care settings. We want a developer who takes pride in clean, secure, well-documented code and wants to be part of building something meaningful in healthcare. If that is you, we would love to hear from 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

Here is what we have so far , a zapier website form that once submitted for a ride request triggers my sms approved twilio number to send me a text with the requested ride info ( lighting fast ) what wouldbe better is Twilio Expert to Build Dispatch Broadcast & Lockout System via Functions & Studio Project Description: We run a local Free community micro courtesy shuttle business utilizing a fleet of 6 gas-powered passenger vans. We need a backend developer to build a text-message-based dispatching system using Twilio Studio, Twilio Functions, and Twilio Sync for data tracking. Core Workflow Required: Web Request Ingestion: Webhook takes ride data (Name, Pickup, Dropoff, Resident Status, Pax count). Active Schedule Check: System checks an internal list of active, on-duty drivers (needs an easy way for me to update weekly schedules or toggles). Simultaneous SMS Broadcast: Send a ride text to only the active drivers on-duty right now. First Responder Wins (Lockout Logic): When a driver replies with a number (e.g., "15"), a Twilio Function checks Twilio Sync. If the ride is still unclaimed, lock it to that driver, store their name and their inputted ETA, and mark the ride as "Claimed". Late drivers must get an automated "Already claimed" text back. Customer Interactive Flow: Trigger a Twilio Studio flow to text the customer: "Your ride is confirmed! [Driver Name] will arrive in [ETA] minutes. Reply CANCEL within 3 minutes if you don't want to wait." Handle customer cancellation loops cleanly. Archival: Push all completed or canceled ride data to a permanent history log. Requirements: Deep experience with Twilio Node.js runtime environments. Proven experience managing race conditions via Twilio Sync Maps/Documents. Ability to build clean, well-commented code so non-technical owners can easily swap out driver lists/phone numbers. Step 2: Prepare Your System Specs (Before the First Call) To keep this fast and budget-friendly, hand developer clean blueprint of your data structure on day one. Have an Excel or Google Sheet ready that maps out exactly what you want tracked: Driver Name Driver Phone Shift Day Start Hour End Hour Status (On/Off Duty) Driver 1 +1727xxxxxxxx Monday 08:00 16:00 Active Driver 2 +1727xxxxxxxx Monday 16:00 23:00 Off-Duty “Can we use Twilio Sync to manage this schedule list, or would it be easier to have the Twilio Function pull this table dynamically from a Google Sheet using the Google Sheets API?” Step 3: Execution and Safeguards the milestone payments based on clear deliverables: Milestone 1 (Setup & Simulation): The developer creates the Twilio Sync environment and proves that if they send two simulate driver texts at the exact same second, one gets the ride and the other gets locked out. Milestone 2 (Studio Integration): The customer text sends successfully with the winning driver's name and ETA, and replying "CANCEL" triggers the cancellation text back to the driver. Milestone 3 (Live Beta Test): I stand on the beach with 2 or 3 of my drivers on a Tuesday afternoon. i hit submit on your webpage, watch the phones drop the texts, claim the ride, and verify the customer workflow. let me know what I missed ?