We are seeking an experienced, senior-level freelance Healthcare Software Architect to lead a structured discovery session and provide an unbiased, independent cost and timeline estimate for a medical billing/MSO utility MVP. We are an established clinical group with immediate, built-in market demand. We have already established our legal foundation; now, we are validating the tech. A prospective developer has already put together a baseline prototype using a headless, open-source EHR framework and a standard medical clearinghouse API. Before finalizing this partnership, we require an independent, objective peer review of the proposed architecture and resource pricing to ensure our Phase 1 MVP is lean, secure, and commercially viable. Scope of Work & Deliverables The ideal candidate will lead a focused Discovery & Audit Phase consisting of: • Architecture & Scope Review: Review our core workflow requirements (specifically handling unique billing and routing logic) and assess if the proposed headless framework is optimally scoped for a Phase 1 launch. • Infrastructure Cost Validation: Provide an independent, line-item cost projection for a HIPAA-compliant hosting environment assuming a starting pool of 50-100 active clinicians scaling to 1,000. • Labor & Retainer Estimate: Review the prospective developer’s timeline and resource proposal. Give us an honest, market-rate validation of the engineering hours required to move the current prototype into production. • Discovery Session: Lead a 1-hour deep-dive consultation with the founder to review your findings and flag potential technical debt. Required Qualifications • Senior-Level Healthcare Architecture: Proven track record designing, auditing, or deploying production-grade healthcare software. • Deep FHIR Expertise: Direct, hands-on experience working with modern, native FHIR data models and headless clinical engines. • RCM & Clearinghouse Knowledge: Familiarity with revenue cycle management workflows, EDI transactions, and clearinghouse API integrations. • Compliance & Security Fluency: Clear understanding of HIPAA-compliant infrastructure hosting and the execution of Business Associate Agreements (BAAs). • Radical Objectivity: This is a strictly advisory, consultative role. We need an unbiased judge who has no stake in the ongoing development contract. Please start your proposal with the phrase "Sovereign Tech." Briefly summarize your experience with open-source healthcare frameworks and headless EHR architectures.

# Founding AI Operations Architect | Build the Future of Home Services ## About EPIC EPIC Septic & Service is one of the fastest-growing septic and wastewater companies in America. We are a veteran-owned organization with operations expanding across multiple states and an ambitious vision to become the first nationally recognized brand in the septic and wastewater industry. But we're not just building a septic company. We're building the operating system behind it. Our mission is to create the first AI-powered Virtual Back Office (VBO) for the septic and wastewater industry—combining customer service, dispatching, sales, inspections, maintenance agreements, reporting, and franchise support into a single scalable platform. We believe the future of home services is not simply hiring more people. We believe the future is AI-powered operations supported by exceptional field teams. ## The Opportunity We are seeking a Founding AI Operations Architect to help design, build, and implement the technology infrastructure that will power EPIC's next phase of growth. This is not a traditional software development role. This is a systems architecture and operational design role focused on leveraging AI, automation, and modern technology to transform how a service business operates. You will work directly with the founder and executive team to map processes, identify opportunities for automation, and build the foundation for a platform that can scale across company-owned locations, franchisees, and strategic partners nationwide. We are looking for a builder, an operator, and a visionary who enjoys solving complex operational challenges with technology. ## What You'll Build ### Customer Experience Systems * AI-powered call answering * Lead qualification and routing * Appointment scheduling * Customer communication workflows * Automated follow-up sequences ### Revenue Operations * AI sales agents * Estimate and proposal generation * Maintenance agreement enrollment * Payment collection workflows * Customer retention programs ### Field Operations * Dispatch automation * Technician scheduling * Inspection workflows * Service reminders * Work order management ### AI Agent Ecosystem * Customer Service Agent * Dispatcher Agent * Sales Agent * Collections Agent * Inspection Report Agent * Franchise Support Agent * Internal Operations Assistant ### Reporting & Intelligence * Executive dashboards * Operational scorecards * Franchise performance reporting * KPI monitoring * Business intelligence systems ## Current Technology Stack We are currently evaluating and implementing technologies including: * Jobber * Claude * UJET * Make * n8n * Zapier * Airtable * Retool * Custom APIs and integrations We are open to recommendations from the right candidate. ## First 90-Day Objectives ### Phase 1 – Discovery & Architecture * Audit current EPIC workflows * Map customer journeys from lead to completion * Identify automation opportunities * Design overall system architecture * Create implementation roadmap ### Phase 2 – MVP Development * AI phone answering workflows * Lead qualification automation * Scheduling automation * Estimate generation workflows * Customer communication systems ### Phase 3 – Virtual Back Office Launch * Dispatch automation * Maintenance agreement workflows * KPI dashboard implementation * Reporting framework * Initial franchise-ready operating model ## Ideal Experience You have successfully built or implemented: * AI agents and automation systems * Contact center automation * CRM integrations * Workflow automation platforms * Field service management systems * Operational software for service businesses * Multi-location or franchise support systems Bonus experience includes: * Jobber * ServiceTitan * Home service businesses * Plumbing, HVAC, electrical, septic, or wastewater industries * Franchise operations * AI-powered customer support systems ## What We're Not Looking For Please do not apply if you are: * A website designer * Looking for simple development tasks * An agency that outsources work * Someone without hands-on AI automation experience * Someone who has never built operational systems that drive real business outcomes We are looking for someone who can think strategically, architect systems, and execute. ## Why This Opportunity Is Different Most companies use AI to make small improvements. We are using AI to reimagine how an entire industry operates. Our goal is to create the first fully AI-enabled septic and wastewater platform in America and ultimately build the infrastructure that powers operators nationwide. This is an opportunity to help build something from the ground up, have a direct impact on the direction of the platform, and work alongside a team that is committed to innovation, execution, and long-term growth. ## To Apply Please include: 1. Examples of AI systems you have designed or built. 2. Relevant automation or operational projects. 3. CRM or field-service integrations you have implemented. 4. Your preferred technology stack and why. 5. How you would approach building an AI-powered Virtual Back Office for a service business. 6. What excites you most about this opportunity. We are looking for a long-term partner who wants to help build something meaningful, scalable, and industry-defining.

**Job Description:** Join our team to collaborate with software engineering, product, analytics, and business stakeholders in delivering high-performance data solutions for operational reporting, business intelligence, advanced analytics, and AI initiatives. **Key Responsibilities:** **Data Architecture & Platform Design** - Evolve data architecture for operational and analytical workloads. - Implement scalable data warehouses, lakes, and lakehouses. - Establish data modeling standards and best practices. - Modernize data platforms using Azure cloud technologies. **Data Engineering** - Develop and maintain scalable ETL/ELT pipelines. - Build data integration solutions using Azure services. - Ensure data quality through monitoring and automation. **Performance & Optimization** - Optimize SQL queries and data pipelines for efficiency. - Analyze large datasets to improve performance. - Collaborate with engineering teams to enhance database design. **Data Quality & Reconciliation** - Establish data validation and auditing processes. - Resolve data discrepancies across systems. - Maintain data quality standards. **Analytics Enablement** - Support data models for reporting and analytics. - Collaborate with stakeholders to translate requirements into solutions. - Enable self-service analytics through well-governed datasets. **Required Qualifications** - 7+ years in Data Engineering/Architecture. - Expertise in enterprise-scale data architectures and SQL. - Experience with ETL/ELT in cloud environments. - Strong understanding of data warehousing and governance. **Technical Skills** - Required: Azure SQL, Data Factory, Synapse Analytics, SQL Server, data modeling, and performance tuning. - Preferred: Microsoft Fabric, Azure Data Lake, Apache Spark, Python, CI/CD, and AI/ML data platforms. **Preferred Experience** - Experience with SaaS and large-scale datasets, particularly in data-intensive industries like healthcare. - Designing platforms for advanced analytics and business intelligence. **Success Metrics** - Reliable and scalable data platforms. - Trusted reporting with strong data quality. - High-performance environments that support business growth and analytics initiatives.

Type: Hourly, ongoing (part-time to full-time, room to grow) Stack you'll work in: Notion, Slack, HubSpot, Google Workspace/Gmail, Claude + other LLM APIs, Zapier/Make/n8n About us We're a fast-moving sports and fan-engagement startup. We're small, we ship quickly, and we want AI woven into how the whole company operates, not as a side experiment, but as the default way we work. You'd be the person who makes that real. What you'll do Map our current workflows across sales, marketing, ops, and content, then find the highest-leverage places to automate. Build automations and agent workflows that connect our tools (Notion, Slack, HubSpot, Gmail/Google Workspace) using platforms like Zapier, Make, or n8n plus LLM APIs. Design and ship AI agents for real jobs: lead routing and CRM enrichment, content drafting, customer/fan response triage, internal knowledge search, reporting digests. Stand up the connective tissue (prompts, integrations, guardrails, and monitoring) so automations are reliable, not brittle demos. Train and enable our team: build SOPs, run working sessions, and create lightweight docs so non-technical people actually adopt what you build. Help set our AI strategy and roadmap as we scale. You're a strong fit if you Have shipped real automations and AI agent workflows in production (not just prototypes). Are fluent with Zapier / Make / n8n and at least one major LLM API (Anthropic/Claude, OpenAI). Know your way around HubSpot, Notion, Slack, and Google Workspace integrations and APIs. Can write clean prompts and think in systems: edge cases, error handling, human-in-the-loop checkpoints. Can explain technical work to non-technical people and get them to adopt it. Communicate proactively and move fast without breaking trust on things that touch customers or revenue. Nice to have Experience taking a small company "AI-native" end to end. Background in sports and/or blockchain. Comfort with light scripting (Python/JS) when no-code hits its limits. How to apply In your proposal, please: Describe one AI agent or automation you built, the tools involved, and the measurable result. Tell us how you'd approach training a non-technical team to actually use what you build. This part matters as much as the build. Share your hourly rate and weekly availability. Proposals that skip these will be passed over. We're looking to start with a small paid task and grow the engagement from there.

Summary We are seeking a highly skilled Automation + AI Systems Specialist to help design, build, and refine workflows, automations, and AI-assisted operational systems for our growing recruiting and staffing company. We work in a fast-paced recruiting and talent acquisition environment where speed, organization, lead management, and operational efficiency are critical. As we continue to grow, we are looking for a long-term automation partner who can help us streamline operations, connect systems, reduce manual work, and build scalable infrastructure across departments. We are not looking for someone who only builds simple one-step automations. We already utilize automation across several parts of our company and are seeking an experienced expert who can help architect more sophisticated systems, troubleshoot complex workflows, recommend scalable solutions, and integrate AI meaningfully into our operations. PROJECT EXAMPLES: Build AI-assisted recruiting workflows for sourcing, screening, and candidate management Create automated intake and routing systems for candidates, clients, and internal recruiting teams Develop AI-powered workflows for resume formatting, candidate summaries, and job description generation Automate onboarding/offboarding workflows for clients, candidates, and internal staff Connect HubSpot, Salesforce, Jotform, and other systems to improve data consistency and reduce manual administrative work Build workflows that sync recruiting data between CRMs, forms, spreadsheets, email marketing systems, and project management tools Create automated reporting dashboards and recruiting performance visibility systems Help transition fragmented automations into cleaner, centralized systems Troubleshoot failed automations, broken workflows, API issues, and sync errors Build AI-assisted SOP/documentation workflows for recurring internal processes Improve lead management, pipeline tracking, and marketing automation workflows IDEAL CANDIDATE: Senior-level AI/Automation expert with experience building advanced multi-step workflows currently in production Strong understanding of operational systems and process optimization — not just technical implementation Experience integrating AI tools and LLMs into real business workflows using OpenAI, Claude, APIs, or agent-based systems Advanced experience with platforms like n8n, Zapier, Make, HubSpot Workflows, and API integrations Comfortable designing scalable systems that are reliable, maintainable, and well-documented Able to identify inefficiencies and proactively recommend better operational approaches Comfortable with light-to-moderate coding (JavaScript, Python, APIs, webhooks, etc.) Strong communicator who can collaborate with both technical and non-technical team members TOOLS WE CURRENTLY USE: HubSpot Salesforce Zapier n8n Jotform OpenAI / ChatGPT Anthropic / Claude Various recruiting, CRM, and project management platforms Open to recommendations for better infrastructure/tools as needed BONUS EXPERIENCE: Recruiting, staffing, or HR-tech industry experience CRM/data architecture AI knowledge management systems Lead routing and sales pipeline automations Dashboarding and reporting systems Experience scaling operational systems for growing companies This will likely begin with one or two high-priority projects and expand into an ongoing relationship as we continue scaling our systems and operations. If you have experience building sophisticated automation ecosystems and enjoy helping companies operate more intelligently and efficiently, we’d love to connect.

Forum Intelligence: Project Brief & Initial Rollout 1. Executive Summary & Objective Forum Intelligence is a beginning as a localized data retrieval, processing, and archiving system designed to scrape public municipal records and state legislative data for public oversight. The immediate objective is to build a functional, highly resilient prototype focused on the Tri-Cities region (Burbank, Glendale, and Pasadena, California). The system will autonomously ingest messy, unstructured municipal data (City Council meeting minutes, agendas, public notices, and legislative PDF text, recorded mp4), clean it, and make it fully searchable and queryable via a localized AI agentic framework. 2. Phase 1 Scope: The Tri-Cities Rollout Th engineer will be responsible for building two primary pillars: A. Resilient Scraper Bots • Target Ingestion: Monitor and pull data from Burbank, Glendale, and Pasadena municipal portals and California legislative feeds. • Data Types: Brittle HTML sites, heavily nested tables, public notices, legislative drafts, and massive unstructured PDF archives. • Requirements: The scraping architecture must be exceptionally robust, utilizing intelligent error handling, retry semantics, and pagination tracking to handle frequent municipal website layout changes without breaking the pipeline. B. Ingestion & Vector Pipeline • Parsing: Extracting clean text from poorly formatted documents and scanned PDFs. • Local RAG (Retrieval-Augmented Generation): Chunking and embedding the data locally into a vector database (e.g., pgvector, Chroma, or Milvus) to enable semantically accurate entity linking and contextual search. 3. Targeted Hardware Stack To ensure maximum data security, strict public oversight integrity, and predictable operational costs, Forum Intelligence is skipping commercial cloud APIs in favor of an on-premise, localized NVIDIA enterprise deployment. The production roadmap aligns precisely with the new computing patterns detailed in NVIDIA’s latest hardware roadmap: • Inference & Token Generation: Running local open-weight frontier models (e.g., Neotron 3 Ultra or Claude/Llama equivalents) optimized for reasoning and long-context tool use. • Compute & Orchestration: The backend infrastructure is architected around NVIDIA’s dedicated agentic architecture, utilizing high-instructions-per-clock (IPC) Vera CPUs paired with Vera Rubin GPUs. • Memory & Storage Processing: Utilizing NVIDIA’s unified memory fabric and data processing units (DPUs) for ultra-low latency context management, KV caching, and fast vector database retrieval. 4. Immediate Milestones for the Engineer 1. Architecture Design: Map out the database schema and local inference ingestion loop. 2. Tri-Cities Scraper Deployment: Write and deploy the initial automated bots for Burbank, Glendale, and Pasadena. 3. Local MVP Pipeline: Demonstrate a local RAG pipeline where a user can query the Tri-Cities scraped records and receive grounded answers with exact source attributions. The above was AI generated from months long conversations with Gemini. The goal is to prove the concept then roll out to LA County, state of CA, and then the country.

Sr. Azure Cloud Architect / Engineer — Part-Time Freelance Location: Remote Engagement: Part-time / freelance / project-based Availability: Ongoing, as-needed support Company: SKYTEK Solutions, LLC About the Role We are looking for a senior-level Azure Cloud Architect / Engineer to assist our team on a part-time freelance basis with advanced Azure infrastructure, security, automation, and cloud architecture projects. This is not an entry-level or basic admin role. We need someone who is highly experienced, hands-on, and comfortable working in real enterprise environments. The ideal candidate has deep experience designing, securing, deploying, and supporting Azure IaaS environments using Microsoft best practices, the Cloud Adoption Framework, Terraform/IaC, runbooks, CI/CD pipelines, and strong security controls. You will work alongside our internal engineering team on client cloud environments, architecture reviews, migrations, automation, hardening, and ongoing optimization. Responsibilities The selected consultant will assist with: Designing and reviewing Azure IaaS environments Azure landing zone architecture using Microsoft Cloud Adoption Framework principles Hub-and-spoke network design, VPN, routing, NSGs, Azure Firewall, and private networking Terraform / Infrastructure as Code development and review Azure DevOps or GitHub-based CI/CD pipelines for infrastructure deployment Azure Automation runbooks and operational automation Security hardening of Azure environments Identity and access design using Entra ID, PIM, RBAC, MFA, and Conditional Access Backup, disaster recovery, monitoring, alerting, and operational readiness Cost optimization, rightsizing, and Azure best-practice reviews Documentation of architecture, runbooks, deployment processes, and support procedures Assisting with complex troubleshooting and escalation support Required Experience The right candidate must have strong hands-on experience with: Microsoft Azure IaaS Azure Cloud Adoption Framework Azure landing zones Terraform / IaC Azure DevOps and/or GitHub Actions CI/CD pipelines Azure Automation runbooks Azure networking Entra ID / Azure AD RBAC, PIM, Conditional Access, MFA Azure security best practices Backup, DR, monitoring, logging, and governance Enterprise client environments Preferred Experience Strong preference for candidates with experience in: MSP or consulting environments Multi-tenant or multi-client Azure support Azure Migrate Windows Server workloads in Azure Active Directory integration with Azure Defender for Cloud Sentinel / SIEM integrations Policy-as-Code Bicep, ARM templates, or PowerShell automation SOC 2 / ISO 27001 aligned environments Regulated industries such as healthcare, finance, or enterprise manufacturing Ideal Candidate We are looking for someone who is: Senior, experienced, and confident Hands-on, not just theoretical Security-focused Excellent at documenting work Able to explain complex cloud decisions clearly Comfortable working with an MSP engineering team Reliable, responsive, and professional Able to jump into existing environments and quickly assess what is needed Focused on doing things the right way, not quick-and-dirty cloud builds Engagement Details This is a part-time freelance role with ongoing project work. Hours may vary based on client needs, but we are looking for someone who can become a trusted senior cloud resource for advanced Azure architecture and engineering support. Availability during some US business hours is preferred. How to Apply Please include: A brief summary of your Azure architecture experience Examples of Azure IaaS or landing zone projects you have completed Your experience with Terraform and CI/CD pipelines Your experience with Azure security, CAF, and governance Your hourly rate and general availability Any relevant Microsoft certifications Screening Questions Please answer the following: Describe an Azure landing zone you designed or implemented. What architecture did you use? How do you structure Terraform for enterprise Azure deployments? What are the most important Azure security controls you implement by default? Have you built CI/CD pipelines for Azure infrastructure deployment? Please explain. How do you approach cost optimization and governance in Azure?

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.

We are seeking a Jobber Certified Expert to assist with onboarding and optimizing our use of the platform. The ideal candidate will have experience in project management and customer relationship management, and be able to provide training and support to our team. The role involves setting up workflows, managing client interactions, and ensuring seamless integration with our existing systems. we are a residential and commercial painting company that wants to reduce owner involvement, automate administrative tasks, and create a scalable operation.

Project Overview: I am an established U.S. reseller generating $400k/year across multiple marketplaces, operating as a sole propietor. I am looking for a senior, US-based e-commerce compliance specialist to completely handle a "Done-For-You" account setup and reinstatement project. I do not want a strategy audit or a checklist of things to do myself; I need you to execute the work directly. Scope of Work: 1. Google Merchant Center: Log into my Shopify/GMC ecosystem via user permissions, identify the root cause of our permanent "Misrepresentation" suspension, physically rewrite/fix the policy pages and data feed schema mismatches, and manage the manual escalation process with Google support. 2. Walmart & Amazon Marketplace: Review my corporate entity documentation, identify current automated onboarding registration blocks, and completely handle the verification and setup process until accounts are fully active. What I Will Provide: I will need some direction, but will put together a clean folder with all required documents you need (as requested) Project Terms: This is a fixed-price project utilizing strict escrow milestones. Funds will be released as physical implementation milestones are achieved (e.g., GMC fixes implemented and submitted, Walmart/Amazon applications pushed through to approved status). To apply, please start your message with the words "REAL SOLUTION" so I know you are a real person who read this, and briefly state a past permanent suspension or marketplace block you successfully resolved.