We are looking for a developer who speaks Spanish expert GoHighLevel (GHL) developer and automation specialist to build and maintain a premium "Dental Patient Rescue System" for high-ticket dental clinics in the US market. This is a long-term contract on a per-project basis. We close the clients; you deploy the technical infrastructure. Everything must be structured into a clean, clonable Snapshot for rapid deployment. The system consists of 3 core components that you must be able to build perfectly: 1. Missed Call Text Back with Conversational AI: Advanced GHL workflows with business vs. off-hours logic that triggers an AI SMS conversation to pre-qualify and book patients. 2. 24/7 Voice AI Receptionist: Integration of Vapi or Bland.ai with GHL to handle after-hours or busy-line emergency calls. The Voice AI must be capable of checking calendar availability in real-time and booking the appointment directly via GHL API. 3. Database Reactivation: Setting up drip/batch campaigns in GHL to reactivate old/cold leads safely without triggering carrier spam filters. Mandatory Requirements: .Proven experience with GHL sub-accounts, workflow logic, custom fields, and API integrations. .Deep understanding of US compliance: A2P 10DLC Campaign Registration, opt-in forms, and privacy policy setup to ensure high SMS deliverability. .Ability to deliver a 100% tested, working environment including phone number routing and A2P submission tracking. To Apply: Please reply with the word "SYSTEM" at the very beginning of your proposal so I know you read the whole post. Briefly describe your experience integrating Voice AI (Vapi/Bland.ai) with GoHighLevel and your success rate with A2P 10DLC approvals.

We are looking for an experienced AI consultant to help configure, optimize, and teach us how to use the Hermes Personal Assistant platform. This is a consulting engagement for an experienced professional who has hands on experience with AI agents, LLM infrastructure, and system integrations. Hermes Agent experience is highly preferred. If you have built similar autonomous AI agent systems, we would also like to hear from you.

In search of an AI resource to assist with automating email replies from PR outreach. Will need to integrate existing workflows with SEO tools to streamline processes. This project is focused on finalizing and improving current workflow automations, not creating automations from scratch. Project has the potential to turn into regular, full-time work. If interested, please reply with relevant work experience and weekly project availability. Thank you!

About the Project I’m building the first MVP (Minimum Viable Product) of Synchos, an AI-powered music catalog and sync management platform for independent artists, producers, composers, and songwriters. The goal is to create a system that automatically organizes songs, stores all related assets, generates AI metadata, and prepares songs for sync licensing opportunities. This is NOT a website or SaaS project. This project is focused on building a clean, scalable Airtable foundation with one Make.com automation that I will personally use to organize my music catalog. This Airtable MVP will later serve as the blueprint for a custom SaaS platform. I already have Google AI Studio (Gemini API) credits and would like to use Gemini if possible. ⸻ Please Read Although Upwork shows this as a Contract-to-Hire opportunity due to an app limitation, this is NOT a full-time position. This is a small fixed-price MVP project with a budget of $100–150. I’m looking for someone who enjoys building clean, scalable systems—not someone who simply wants to complete a quick gig. If we work well together, I expect there will be additional paid milestones and future projects, but there is no expectation of full-time employment. ⸻ Project Goal Build Version 1 of the Synchos foundation. I value: * Clean database architecture * Good organization * Scalability * Documentation * Maintainability over having lots of unfinished features. ⸻ Scope of Work 1. Airtable Database Create a clean relational Airtable base using linked records. Tables * Songs * Collaborators * Writers * Publishers * Music Libraries * Music Supervisors * Agencies * Pitch History ⸻ 2. Songs Table Each Song record should support: Basic Information * Song Title * Artist * BPM * Key * Genre * Subgenre * Mood * Theme * Explicit / Clean * Availability * Notes Attachments * MP3 or WAV * Cover Art * Lyric Sheet * Split Sheet Links * DISCO Link AI Fields * Song Description * AI Song Summary * Keywords * Sync Categories * Metadata All AI-generated fields must remain manually editable. ⸻ 3. Airtable Interface Create a clean interface that feels like an application instead of a spreadsheet. Dashboard Display: * Total Songs * Ready to Pitch * Never Pitched * Missing Assets * Recent Songs * Follow-Ups Due My Catalog Search and filter songs. Song Details Every field should be editable. ⸻ 4. Views & Filters Create useful views including: * Ready to Pitch * Never Pitched * Missing Lyrics * Missing Split Sheet * Missing Cover Art * Missing Metadata * Available * Exclusive * Non-Exclusive * Sports * Trailer * Hip-Hop * Pop * Explicit * Clean ⸻ 5. Simple CRM Create linked tables for: Music Libraries * Library Name * Website * Contact * Email * Notes Music Supervisors * Name * Company * Email * Notes Agencies * Name * Contact * Email * Notes Pitch History Each pitch should link to a Song. Track: * Song * Contact * Date Sent * Status * Notes ⸻ 6. One Make.com Automation Build one automation using: Airtable → Make.com → Google AI Studio (Gemini API) → Airtable When I upload a song package (whatever information is available): * MP3/WAV * Lyric Sheet * Split Sheet * Cover Art * DISCO Link The automation should: * Extract embedded audio metadata when available (such as Song Title and Artist from ID3 tags) * Send the available information to Gemini * Generate: * Song Description * Genre * Mood * Theme * Keywords * Sync Categories * AI Song Summary * Automatically populate the Airtable record If full audio analysis is not practical within this budget, please use the available text and metadata while preserving the uploaded audio for future enhancements. ⸻ 7. Collaborator Memory When a split sheet is uploaded, the system should attempt to extract collaborator information whenever possible. Examples: * Name * Email * PRO (Performing Rights Organization such as BMI, ASCAP, SESAC) * Publisher This information should be stored in reusable Collaborator records so I do not have to enter it again for future songs. Song-specific ownership percentages should remain unique to each song. ⸻ 8. Manual Editing Everything generated by AI must remain editable. Nothing should be locked. ⸻ 9. Documentation Please provide: * Airtable Base * Make.com Scenario * Setup Instructions * Instructions for updating the Gemini API key ⸻ Important This project is intentionally small. I understand my budget is limited. I would rather have a clean, scalable, well-organized foundation than lots of unfinished features. I am looking for someone who understands database design and automation and can help me build Version 1 correctly. ⸻ Future Phases Future paid phases may include: * AI Split Sheet Generator * Spotify Reference Analyzer * YouTube Reference Analyzer * AI Brief Matching * AI Song Recommendations * Semantic Lyric Search * Advanced CRM * Additional Make.com Automations * Custom SaaS Development My goal is to continue working with the same developer if this MVP is successful. ⸻ Please Answer These Questions 1. Have you built Airtable + Make.com systems before? 2. Have you integrated Google AI Studio (Gemini API) or another LLM API into Make.com? 3. Please share one or two similar projects. 4. If you had my budget ($100–150), what would you prioritize building first? 5. What would you simplify to ensure this MVP is successful? 6. Can this Airtable structure easily migrate into a future SaaS platform? 7. Is there anything you would recommend changing to make this MVP stronger while staying within budget? Please begin your proposal with the word “Synchos” so I know you’ve read the full project description.

Revenue here is an engineering problem. Programmatic outbound, an AI SDR, product-signal routing, lifecycle automation — systems doing the work a twenty-person team would otherwise do. Some of it runs on our own AI platform, which means your work literally talks back. We're a well-funded AI company (top-tier Silicon Valley backing) hiring a long-term builder who'll sit inside the Growth team — warehouse access, real ownership, a pioneering product — not a ticket queue. (Company revealed after screening.) WHAT YOU'LL OWN - Clay end-to-end at scale: enrichment, scoring, personalization, sequencing across large account sets - Lifecycle systems in Customer.io: activation-based journeys, win-back, abandoned checkout, payment recovery — with suppression logic that never embarrasses us in front of an enterprise prospect - Product-signal plumbing: usage thresholds to CRM to the right human alerted the moment an account heats up - Internal agents and Slack automations: reporting bots, AI-SDR upgrades - Clean stitching across Clay, Customer.io, CRM, Snowflake, Zapier — and raw APIs when the connector doesn't exist YOUR FIRST 30 DAYS - One checkout-recovery flow live with guardrails - One usage-signal-to-sales-alert pipeline in production - One existing Clay motion scaled past its current ceiling THIS IS FOR YOU IF you've run Clay in production (not a tutorial), APIs/webhooks/SQL/light Python or JS are daily tools, you build with LLMs and code-gen by default, you measure yourself in dollars — and you're looking for a multi-quarter build, not a one-off automation project. NOT FOR YOU IF you've never owned a number, or "automation" means Zapier templates. THE ENGAGEMENT 20–30 hrs/week. 3–6 months to start with a long runway — embedded in the Growth team, shipping weekly, direct with the Head of Growth. HOW TO APPLY Answer the screening questions and start your proposal with the word VEGA. SCREENING QUESTIONS 1. Walk us through one revenue system you built end-to-end — trigger, logic, dollars — and name the exact stack. 2. Describe your largest Clay implementation: table size, enrichments, what it fed into. 3. What guardrails do you build into lifecycle and payment-recovery sends so they never hit the wrong account?

We are looking for an AI Automation Consultant to review our current roadmap and provide strategic and technical consultation on AI-driven workflows for real estate operations. The role will focus on identifying opportunities to improve lead conversion, marketing efficiency, tenant communication, and maintenance operations through practical AI automation. Key areas of responsibility: - AI Lead Qualification and Follow-Up: Review and advise on workflows that score and qualify incoming leads, route them to the right person, and trigger personalized follow-up within 60 seconds. - AI Listing Descriptions and Marketing: Review the roadmap for AI-powered property marketing workflows that transform property details into polished listing descriptions and marketing content up to 10x faster. - Tenant Communication and Maintenance Automation: Consult on 24/7 AI workflows that handle tenant requests, identify and route maintenance issues, create work orders, provide updates, and reduce manual communication. - Roadmap Review and Prioritization: Assess the existing AI automation roadmap, identify gaps and opportunities, and recommend which workflows should be prioritized based on business impact, feasibility, and expected ROI. - Workflow and Technology Consultation: Provide guidance on AI models, automation tools, integrations, data flows, and system architecture needed to turn the roadmap into reliable, scalable workflows. - Implementation Guidance: Help translate strategic recommendations into clear requirements, workflows, and next steps that an engineering or automation team can execute. The ideal candidate has experience with AI automation, workflow design, real estate technology, or operational process optimization, with a strong understanding of how AI can be applied to real-world business workflows.

We are seeking an experienced AI Automation Engineer to help streamline business operations through AI Agents, workflow automation, CRM integrations, and API-driven solutions. This role requires someone who can analyze business processes, identify automation opportunities, and implement scalable systems that reduce manual work and improve operational efficiency. Responsibilities Lead Generation & Sales Automation •⁠ ⁠Build AI Agents for lead sourcing and qualification. - Automate outreach, follow-ups, and appointment scheduling. - Integrate with CRM platforms and sales pipelines. - Implement automated lead nurturing workflows. Social Media Automation •⁠ ⁠Generate AI-powered content and marketing copy. •⁠ ⁠Automate content scheduling and publishing. •⁠ ⁠Build workflows for campaign management and reporting. Customer Support Automation •⁠ ⁠Develop AI chatbots and conversational AI solutions. •⁠ ⁠Automate Instagram, Facebook Messenger, and WhatsApp interactions. •⁠ ⁠Create AI-driven booking and inquiry management systems. Business Process Automation •⁠ ⁠Design workflow automation solutions. •⁠ ⁠Build API integrations between business platforms. •⁠ ⁠Create dashboards, notifications, and reporting systems. •⁠ ⁠Automate repetitive administrative tasks. Required Skills AI Automation, AI Agents, Workflow Automation, Business Process Automation, CRM Integration, OpenAI API, Claude API, Make.com, Zapier, n8n, GoHighLevel, ManyChat, Python, Node.js, API Development, Database Design Preferred Experience •⁠ ⁠Lead Generation Automation •⁠ ⁠Sales Automation •⁠ ⁠WhatsApp Business API •⁠ ⁠Meta APIs •⁠ ⁠Marketing Automation •⁠ ⁠Customer Support Automation •⁠ ⁠SaaS Integrations To Apply Please provide: •⁠ ⁠Years of experience. •⁠ ⁠Similar AI automation projects completed. •⁠ ⁠Recommended technology stack. •⁠ ⁠Hourly rate. •⁠ ⁠Weekly availability. •⁠ ⁠Examples, screenshots, case studies, or demos.

We are looking for an experienced developer who can help us with automation with Shopify and Gmail. Projects can include customer service/support workflows, a store-front AI chat bot, an AI auto-draft for gmails that improves itself overtime, a ticketing system for our overseas suppliers instead of relying on WeChat, and whatever else is needed that can be optimized and automated during the business process. We currently use Zapier for our automation needs. We will be scoping out the first project in greater detail on our initial call.

Overview I'm looking for an experienced automation engineer to help build an AI-powered business development system for my vacation rental/property management company. This is not a simple Zapier project. My goal is to create a scalable lead generation engine that continuously identifies potential property owners, researches them using AI, manages follow-up through my CRM, and reminds me when it's time to personally reach out. I am a one-person company today, so the system must be simple, reliable, and easy to maintain. My objective is to spend about one hour per day working qualified leads while automation handles everything else. If this project goes well, I expect ongoing work as we continue expanding and improving the system. Current Software Pipedrive CRM Claude AI AirDNA (Property Manager Dashboard) Outlook Microsoft 365 Open to adding additional tools if they provide meaningful value. Project Goals Import new luxury property leads from AirDNA (or other sources) Enrich owner information using public data and AI Create and update contacts and deals inside Pipedrive Generate personalized outreach drafts using Claude Create follow-up tasks automatically Track communication history Keep leads moving through a defined sales pipeline Eliminate repetitive manual work Eventually I'd like to add: MLS transaction monitoring Luxury home sales tracking County ownership data Automated handwritten mail campaigns AI lead scoring KPI dashboards Reporting Initial Workflow An ideal workflow would look something like this: Detect new luxury rental property Research owner information Add owner to Pipedrive Generate personalized first-contact email Schedule phone call task Continue automated follow-up sequence until the opportunity is closed or archived Ideal Experience Please apply only if you have experience with several of the following: n8n Pipedrive API REST APIs Webhooks AI integrations (Claude/OpenAI) CRM automation Email workflow automation Lead generation systems Data enrichment Real estate technology (preferred but not required) What I'm Looking For I am not looking for someone to invent my sales process. I want someone who can take my vision and build a clean, scalable automation architecture with best practices. I'd also like the system to be documented so it can be maintained and expanded over time. To Apply Please include: Examples of automation systems you've built. Your experience with n8n and Pipedrive. Experience integrating AI into business workflows. What you would recommend as the overall architecture for this project. Your preferred hourly rate and estimated timeline. To confirm you've read this posting, begin your proposal with the words: "Luxury Automation." Applications without this will not be considered. I am looking for a long-term technical partner, not someone who simply completes a one-time project.

Python Developer Needed – Claude API, PDF Processing & AI Automation I’m looking for an experienced Python developer to help me complete and troubleshoot an AI document-processing workflow. I have approximately 20,000 pages of OCR’d medical records that need to be processed using the Claude (Anthropic) API. The goal is to identify specific mental health evidence while ensuring every extracted finding includes the exact PDF filename and page number so it can be verified and used in court. Current Status * Claude API account is already set up and paid for. * PDFs are already OCR’d and page numbered. * I have an existing Python script that uploads documents and processes them, but it needs improvement. What I Need * Debug and improve the existing Python code. * Ensure page numbers and source filenames are always included. * Improve reliability and error handling. * Optimize processing of a large document set. * Help generate a final organized evidence list. Required Skills * Python * Claude (Anthropic) API or other LLM APIs * API integration * PDF/document processing * OCR workflows * Prompt engineering * Debugging and automation Experience working with legal, medical, or other large document collections is a plus. This is an urgent project, and I’m looking for someone who can start immediately. When applying, please include: * Similar projects you’ve completed * Your experience with Python and AI APIs * Your hourly rate * Your availability over the next couple of days I’m in Las Vegas