I'm a retired entrepreneur and active investor looking for a skilled Claude AI practitioner to serve as a private tutor and advisor. I use Claude regularly and have a working Microsoft 365 integration in place, but I want an experienced guide to help me unlock advanced capabilities and build efficient, reusable workflows tailored to my work. This is not a beginner engagement. I learn quickly, prefer direct feedback over hand-holding, and want sessions focused on my actual use cases — not generic training. Topics to Cover - Claude Projects — structure and strategy for ongoing, organized work - Investment and general research — synthesizing company, market, and topic information efficiently - Correspondence — drafting polished emails in Outlook that match my voice with minimal editing - Document analysis — extracting key information from legal, financial, and fund documents - Microsoft 365 add-ins — what's available and genuinely useful for Word, Excel, and PowerPoint - Voice input and dictation — getting started and optimizing as a primary input method - Workflow building — creating persistent, reusable tools rather than starting from scratch each session - Agents, skills, and connected tools — connecting external tools, leveraging agentic capabilities, and building autonomous workflows - Prompt craft — advanced techniques applicable across all of the above Ideal Candidate - Hands-on experience with Claude (not just ChatGPT or general AI) - Background working with business operators, investors, or executives — not primarily developers or academics - Can demonstrate real-world applications, not just theoretical knowledge - Comfortable moving at a fast pace and adapting sessions to my priorities Format Virtual sessions via video call, 60–90 minutes each. Frequency to be determined based on fit and progress. Looking to begin with 4–6 sessions and reassess. To Apply Please include: 1. A brief description of your hands-on experience with Claude specifically 2. One or two examples of business or executive use cases you've worked on 3. Your availability and hourly rate A short introductory call before committing to paid sessions is expected.

I am building a reusable lead follow-up and consultation booking automation system for med spas and aesthetic clinics. I need an experienced automation specialist who can build, test, document, and hand off a production-ready workflow system. This is not a one-off Zapier task. I need a reusable system that can be adapted for future clients. What the system should do: * Recover missed calls and website inquiries before they go cold * Send fast SMS/email follow-up to new leads * Collect basic service interest without giving medical advice * Send a consultation booking link * Log every lead in a CRM or lead tracker * Track lead status from new inquiry to booked consultation * Notify clinic staff when a lead replies, books, or needs human review * Escalate medical, treatment-specific, pricing-sensitive, or sensitive questions to staff * Run a simple no-response follow-up sequence * Send appointment reminders after a consultation is booked * Provide a weekly lead activity summary showing new leads, contacted leads, booked consultations, no-responses, and escalations Preferred stack: - Make - Airtable - Twilio - Calendly - Google Workspace / Gmail I am open to GoHighLevel or other stack recommendations if you can explain the trade-offs clearly. Important compliance guardrails: The system is for appointment scheduling and lead follow-up only. It must not provide medical advice, diagnose, recommend treatments, collect sensitive medical history, or answer treatment-specific questions. Any medical, pricing-sensitive, treatment-specific, or sensitive question should be routed to clinic staff. Required deliverables: - Workflow diagram - Recommended stack document - Working demo system - CRM/tracker template - SMS/email message templates configured with variables - Testing checklist - Client onboarding checklist - Duplication/setup guide - Loom walkthrough - Handoff documentation - Monthly tool cost estimate - Limitations and risks document Budget: Fixed price: $1,500 Budget flexible up to $2,000 for the right reusable system. Proposed milestones: Milestone 1 — Architecture and stack recommendation $300 Milestone 2 — Working build $800 Milestone 3 — Documentation and handoff $400 PLEASE COMPLETE THE SCREENING QUESTIONS WHEN APPLYING: 1. Describe a workflow you built involving SMS follow-up triggered by a call or form submission. What tools did you use? 2. What is the most complex Make.com scenario you have built? 3. Have you built Airtable as a CRM or lead tracker before? Describe the structure. 4. Have you integrated Twilio with Make or Zapier for SMS automation? 5. Have you connected Calendly webhooks to downstream automation? 6. How would you prevent this system from giving medical advice or collecting sensitive information? 7. What does your documentation and handoff process include? 8. For this use case, would you recommend GoHighLevel or Make + Airtable + Twilio? Why?

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

We are a small software development team actively using Claude and GitHub Copilot for development on an ASP.NET and Azure technology stack. We’re looking for an experienced AI coach/consultant who can review how our team currently uses AI, identify opportunities for improvement, and help us work more effectively with Claude Code, agents, and AI-assisted development workflows. What we're looking for: Experience implementing and scaling AI-assisted development practices within agile software teams. Deep hands-on experience with Claude Code, agents, and agent-driven workflows. Experience designing and configuring agents for development, QA, testing, documentation, and other engineering processes. Ability to conduct team workshops, coaching sessions, and practical reviews of our current workflows. Strong understanding of software engineering best practices, not just AI tooling. Bonus skills: Software architecture and platform engineering experience. Experience setting up and optimizing MCPs (Model Context Protocol), tools, integrations, and custom Claude configurations. Knowledge of AI workflows beyond development, including QA, support, project management, and internal operations. The engagement would likely include a mix of: Reviewing our current processes and tooling One-on-one discussions with team members Team coaching and training sessions Recommendations for improving productivity, quality, and collaboration using AI Please include examples of teams you have coached, AI development workflows you have implemented, and your experience with Claude agents and MCP-based tooling

We’re looking for an experienced engineer or trainer to help deliver hands-on AI coding training for engineering teams. The focus is on moving engineers beyond basic Copilot/autocomplete usage into agentic workflows with tools like Claude Code, Codex, GitHub Copilot, and related tooling. Scope: Run practical workshops for engineers Teach Claude Code, Codex, and Copilot workflows Cover task scoping, prompting, reviewing diffs, and code validation Help create assets like CLAUDE.md, agents.md, slash commands, or workflow templates Advise on best practices, cost awareness, security, and team adoption Ideal candidate: Strong software engineering background Hands-on experience with Claude Code, Codex, or similar tools Experience training engineering teams Clear communicator with practical examples Please apply with relevant examples of AI coding workflows, trainings, or engineering teams you’ve supported.