Hey all, Closed two discovery calls with a tax consulting firm (transfer pricing + advisory). Owner is bought in. Now I'm stuck. The project (phased): - auto-populated client tracker + web intake (replacing a 20-tab Excel) + alerts for regulatory filings & cross-sell triggers + dashboard for the partner. - Later phases: auto-proposals, AI report generation/QA, email triage. Stack: - I'm usign Claude Code inside VS Code. Value to client: - hours saved, cross-sells unlocked, fines avoided (they almost missed a filing recently). Two things I need help with: 1. Pricing — fixed vs. value-based vs. retainer? Paid diagnostic upfront, yes/no? Tiered options or single number? 2. Deliverables & ownership — do you host on your infra or theirs? Who pays for licenses (n8n, Claude, whatever is used)? Hand over credentials and flows, or keep them locked? What docs do you ship? How long do you cover bugs before retainer kicks in? Any frameworks, contract clauses, or war stories welcome 🙏 Thank you team

After 400 hours in Claude Code, I noticed that businesses keep paying for the same six types of skills. In this video, I break down each one, what it does, and why these simple, boring skills are the ones that actually sell. Whether you're brand new to AI automations or already building for clients, these are the skills worth learning first.

From AI roles and first clients to live receptionist systems and enterprise training deals - this week inside AIS+ showed what happens when builders stop watching and start executing. 🚀 Standout Wins of the Week inside AIS+ 👉 @Griffin Maklansky went from being laid off to landing an AI Workflow Builder role in just 1 month. 👉 @Ahmed Bin Faisal landed another $2,000 USD client — an interior design firm — and broke down exactly what led to the close 👉 @Narsis Amin built a working AI restaurant receptionist handling bookings, availability, and CRM logging end-to-end. 👉 @Josh Holladay closed a $4.5K (+$1K) client with half up front today — and dropped his top 10 lessons from the close 👉 @Dion Wang received his first official testimonial, validating real client impact and around 40 hours/month saved. 🎥 Super Win Spotlight | @Duy Nguyen Duy started as an engineer who was curious about AI — but unsure how to turn that curiosity into something real. After joining AIS+, he went from learning passively to building his own AI-operated business, Sharper Automations. Since then, he has: • Built a 24-agent AI business operating system • Landed 2 local paying clients through word-of-mouth • Created a system that improves itself weekly through feedback loops • Started moving toward his goal of leaving his corporate job His biggest shift? From “Can I really do this?” → to building a real business around AI automation.

Codex is an absolute beast for getting real work done, but most people barely scratch the surface of what it can actually do. In this video I take you from zero to a fully working YouTube comment intelligence system, complete with skills, automations, a deployed dashboard, and browser use QA. By the end you'll know exactly how to set up Codex, build reusable workflows, and ship real projects without babysitting every step.