| name | luke-alexander-ai-business |
| description | Luke Alexander's AI service business system — pick the service layer of the AI stack, sell outcomes (never "AI"), structure performance deals with setup fee + percentage of upside, and deliver the work invisibly with AI via structured context profiles. |
| version | 2.0 |
| format | completion-engine |
| workflows | 3 |
| source | claude.ai export 2026-07-01 |
Luke Alexander — AI Business Blueprints
Luke Alexander trained ~5,000 sales reps, generated close to $10M personally online (Closer Cartel, IPO/growth-partner offers), and now builds Kendo AI, an enterprise AI sales-training startup. His system: build a service business at the top of the AI stack (LLMs → software → services), solve one of three evergreen problems (sales, marketing, automation) for the niche where money flows fastest, price on performance instead of retainers, and let AI do the delivery while the tech stays invisible. The operating discipline underneath is the "boring" layer — structured context profiles and memory management that make AI output 100x better.
Available Workflows
| Workflow | Produces | Use When |
|---|
01-design-ai-service-offer | A defined AI service offer (who/what/price-logic/fulfillment) positioned on outcomes | Starting or repositioning an AI-powered service business |
02-structure-performance-deal | A setup-fee + upside-percentage deal structure with conversion-lever math and ROI proof | Pricing a client engagement or pitching a growth-partner deal |
03-build-context-profile | A structured context profile + handoff protocol for consistent elite AI delivery | Setting up AI to do the fulfillment work reliably across sessions |
Quick Reference
- The stack: LLMs (the internet) → software (hard, capital-heavy) → services (start here). You're a decade late to LLMs; software burns cash; services take no money to start and reach $1M/yr.
- Three problems worth solving: sales, marketing, automation. Pick ONE, then pick a niche where money flows — info products are the current golden age.
- Economics: $83,333/month = $1M/year. Not via 3-5K retainers. Less clients, more upside — 1-3 clients max on performance deals.
- Deal structure: setup fee ($5K-$25K for the manual work) + 15-20% of everything ABOVE current baseline. "I'm not taking money you've already earned."
- Sell the outcome, not the tool: no "AI" in the pitch. Sell show-rate, close-rate, leads, savings. AI is your engine; they buy the vehicle.
- 4x rule: client must get roughly 4x back on what they pay you, or churn is coming.
- Context profile layers: identity/role, project DNA, working files, immediate context, output specifications. Quality of context > quantity of context.
- Irreplaceability: embed into the levers of the business — "if they fire you, their business crumbles."
Execution Prompts (structure-pure v2)
3 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.
- Luke Alexander — Build Context Profile —
skills/luke-alexander-ai-business/references/prompts-v2/build-context-profile.md
- Luke Alexander — Design AI Service Offer —
skills/luke-alexander-ai-business/references/prompts-v2/design-ai-service-offer.md
- Luke Alexander — Structure Performance Deal —
skills/luke-alexander-ai-business/references/prompts-v2/structure-performance-deal.md
