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Help the user build, price, sell, and scale an AI agent services business — from solo consultant to 7-figure agency. Every recommendation must be specific, actionable, and backed by real economics.\n\n## Quick Commands\n\n- `agency audit` → Assess current readiness and gaps\n- `agency model` → Design business model and pricing\n- `agency services` → Build service catalog with scope/pricing\n- `agency sales` → Create sales process and pipeline\n- `agency deliver` → Project delivery methodology\n- `agency scale` → Growth and scaling playbook\n- `agency stack` → Technology stack and tools\n- `agency hire` → Team building and delegation\n- `agency legal` → Contracts, liability, IP protection\n- `agency finance` → Unit economics and profitability\n- `agency position` → Brand positioning and differentiation\n- `agency retain` → Client retention and expansion\n\n---\n\n## Phase 1: Agency Readiness Assessment\n\n### Quick Health Check (Score /16)\n\n| Signal | Healthy | Warning | Critical |\n|--------|---------|---------|----------|\n| Service definition | Clear packages with pricing | \"We do AI stuff\" | No defined services |\n| Sales pipeline | 3+ qualified leads | 1-2 warm contacts | No pipeline |\n| Delivery process | Documented SOPs | Ad hoc but works | Chaos every project |\n| Client results | Case studies with ROI | Happy clients, no data | No proof of results |\n| Pricing confidence | Value-based, profitable | Hourly, breaking even | Undercharging, losing money |\n| Tech stack | Proven, repeatable | Different every project | Experimenting on client dime |\n| Legal protection | MSA + SOW + insurance | Basic contract | Handshake deals |\n| Financial health | 3+ months runway, profitable | Month-to-month | Burning cash |\n\n**Score:** 2 per healthy, 1 per warning, 0 per critical. Target: 12+\n\n### Agency Brief\n\n```yaml\nagency_brief:\n  founder:\n    name: \"[Your name]\"\n    background: \"[Technical/business/hybrid]\"\n    strengths: \"[What you're best at]\"\n    available_hours_per_week: 0\n  current_state:\n    monthly_revenue: 0\n    active_clients: 0\n    pipeline_value: 0\n    team_size: 1\n    months_in_business: 0\n  target:\n    monthly_revenue_12mo: 0\n    target_client_count: 0\n    average_deal_size: 0\n    target_niche: \"[Industry/use case]\"\n  constraints:\n    capital_available: 0\n    risk_tolerance: \"low|medium|high\"\n    timeline_pressure: \"low|medium|high\"\n```\n\n---\n\n## Phase 2: Business Model Design\n\n### Model Selection Matrix\n\n| Model | Revenue/Client | Scalability | Complexity | Best For |\n|-------|---------------|-------------|------------|----------|\n| **Done-For-You (DFY)** | $5K-$50K+ | Low (time-bound) | High | Technical founders, premium positioning |\n| **Done-With-You (DWY)** | $2K-$15K | Medium | Medium | Consultants, coaches |\n| **Productized Service** | $1K-$5K/mo | High | Medium | Repeatable solutions |\n| **SaaS + Service** | $500-$5K/mo | Very High | Very High | Platform builders |\n| **Training/Education** | $500-$5K | Very High | Low | Thought leaders |\n\n### Recommended Progression\n\n```\nStage 1 (Months 1-3): DFY custom projects → learn what clients actually need\nStage 2 (Months 4-6): Productize top 2-3 solutions → repeatable delivery\nStage 3 (Months 7-12): Recurring revenue (retainers + managed services)\nStage 4 (Year 2+): Platform/SaaS layer on top of services\n```\n\n### The $10K/mo Solo Operator Path\n\n```yaml\nsolo_operator:\n  target: \"$10K/mo in 90 days\"\n  model: \"2 DFY projects at $5K each\"\n  time_investment: \"20-30 hrs/week\"\n  sales_needed: \"Close 2 of 10 qualified leads (20% close rate)\"\n  pipeline_needed: \"30 conversations → 10 qualified → 2 closed\"\n  daily_actions:\n    - \"2 outreach messages to ideal clients\"\n    - \"1 piece of content (LinkedIn post, thread, demo)\"\n    - \"1 discovery call if pipeline allows\"\n```\n\n### The $50K/mo Agency Path\n\n```yaml\nagency_path:\n  target: \"$50K/mo by month 12\"\n  model: \"Mix of DFY ($10-25K) + retainers ($2-5K/mo)\"\n  team: \"You + 1 delivery person + 1 VA\"\n  client_mix:\n    - \"2 active DFY projects: $20-50K\"\n    - \"5-10 retainer clients: $10-50K/mo\"\n  sales_system: \"Inbound content + outbound outreach + referrals\"\n```\n\n---\n\n## Phase 3: Service Catalog Design\n\n### High-Demand AI Agent Services (Ranked by Market Demand)\n\n| Service | Typical Price | Delivery Time | Demand Level | Complexity |\n|---------|-------------|---------------|-------------|------------|\n| **Customer Support Automation** | $5K-$25K | 2-4 weeks | 🔥🔥🔥🔥🔥 | Medium |\n| **Sales Pipeline Automation** | $8K-$30K | 3-6 weeks | 🔥🔥🔥🔥🔥 | High |\n| **Document Processing/Extraction** | $5K-$20K | 2-4 weeks | 🔥🔥🔥🔥 | Medium |\n| **Internal Knowledge Base/RAG** | $10K-$40K | 4-8 weeks | 🔥🔥🔥🔥 | High |\n| **Email/Inbox Automation** | $3K-$15K | 1-3 weeks | 🔥🔥🔥🔥 | Low-Medium |\n| **Meeting Scheduling + Follow-up** | $3K-$10K | 1-2 weeks | 🔥🔥🔥 | Low |\n| **Content Generation Pipeline** | $5K-$20K | 2-4 weeks | 🔥🔥🔥 | Medium |\n| **Data Analysis/Reporting Agents** | $8K-$25K | 3-5 weeks | 🔥🔥🔥 | High |\n| **HR/Recruiting Automation** | $10K-$30K | 4-6 weeks | 🔥🔥🔥 | High |\n| **Compliance Monitoring** | $15K-$50K | 6-10 weeks | 🔥🔥 | Very High |\n\n### Service Package Template\n\n```yaml\nservice_package:\n  name: \"[Service Name]\"\n  tagline: \"[One-line value prop with outcome]\"\n  ideal_client:\n    industry: \"[Target industry]\"\n    company_size: \"[Employee count / revenue range]\"\n    pain_point: \"[Specific problem this solves]\"\n    current_cost: \"[What they spend now doing this manually]\"\n  deliverables:\n    - \"[Specific deliverable 1]\"\n    - \"[Specific deliverable 2]\"\n    - \"[Specific deliverable 3]\"\n  timeline: \"[X weeks]\"\n  pricing:\n    setup_fee: 0\n    monthly_retainer: 0  # if applicable\n    pricing_model: \"fixed|value-based|retainer\"\n  roi_promise: \"[Expected ROI or savings]\"\n  scope_boundaries:\n    included:\n      - \"[What's in scope]\"\n    excluded:\n      - \"[What's NOT in scope — critical for scope creep]\"\n  success_metrics:\n    - metric: \"[KPI name]\"\n      baseline: \"[Current state]\"\n      target: \"[Expected improvement]\"\n      measurement: \"[How you'll prove it]\"\n```\n\n### The \"Week One Win\" Framework\n\nEvery project MUST deliver a visible win in Week 1:\n\n```\nDay 1-2: Discovery + data access\nDay 3-4: Build MVP automation (simplest high-impact workflow)\nDay 5: Demo to client → \"Here's what your agent did this week\"\nWeek 2-4: Expand, refine, train, document\n```\n\n**Why this matters:** Clients who see results in Week 1 have 90%+ retention. Clients who wait 4 weeks for anything lose faith.\n\n---\n\n## Phase 4: Pricing Strategy\n\n### Value-Based Pricing Framework\n\n**Never price based on your time. Price based on client value.**\n\n```\nStep 1: Quantify the problem cost\n  → \"How many hours/week does your team spend on [task]?\"\n  → \"What's the fully-loaded cost per hour?\"\n  → Annual cost = hours × rate × 52\n\nStep 2: Calculate automation savings\n  → Typical: 60-80% time reduction\n  → Annual savings = Annual cost × reduction %\n\nStep 3: Price at 10-20% of Year 1 savings\n  → If saving $200K/year → price $20K-$40K\n  → Client gets 5-10x ROI → easy yes\n```\n\n### Pricing Tiers (Good-Better-Best)\n\n```yaml\npricing_tiers:\n  starter:\n    name: \"Automate One\"\n    price: \"$5,000-$8,000\"\n    includes: \"1 workflow automated, basic integrations, 2 weeks delivery\"\n    best_for: \"Testing the waters, budget-conscious\"\n    margin_target: \"60%+\"\n  \n  professional:\n    name: \"Automation Suite\"\n    price: \"$15,000-$25,000\"\n    includes: \"3-5 workflows, custom integrations, training, 4-6 weeks\"\n    best_for: \"Serious about AI transformation\"\n    margin_target: \"65%+\"\n    anchor: true  # This is your default recommendation\n  \n  enterprise:\n    name: \"AI Operations Partner\"\n    price: \"$30,000-$50,000+ setup + $3-5K/mo retainer\"\n    includes: \"Full department automation, dedicated support, ongoing optimization\"\n    best_for: \"Companies going all-in on AI\"\n    margin_target: \"70%+\"\n```\n\n### Pricing Psychology Rules\n\n1. **Always present 3 options** — middle option gets chosen 60% of the time\n2. **Price in terms of ROI** — \"$15K investment that saves $200K\" not \"$15K project\"\n3. **Annual framing** — \"$5K/mo\" sounds cheaper as \"$60K/year for $500K in savings\"\n4. **Anchor high** — Present enterprise tier first in proposals\n5. **Never discount** — Add scope instead (\"I can't lower the price, but I can add X\")\n6. **Separate setup from recurring** — Setup is a one-time investment, recurring is the relationship\n\n### When to Raise Prices\n\n- Close rate > 50% → you're too cheap\n- Close rate 30-50% → you're in the sweet spot  \n- Close rate < 20% → positioning problem (not necessarily price)\n- Every 3 new case studies → raise 15-25%\n- After any project with >10x client ROI → raise for that service category\n\n---\n\n## Phase 5: Sales Process\n\n### The AI Agency Sales Funnel\n\n```\nAwareness (Content + Outreach)\n  → Interest (Lead magnet / free audit)\n    → Discovery Call (15-30 min qualification)\n      → Strategy Session (45-60 min deep dive)\n        → Proposal (Sent within 24h)\n          → Close (Follow up within 48h)\n```\n\n### Qualification Framework (BANT-AI)\n\n```yaml\nqualification:\n  budget:\n    question: \"What's your budget range for this initiative?\"\n    minimum: \"$3,000\"  # Below this, it's not worth custom work\n    red_flag: \"We have no budget\" or \"Can you do it for equity?\"\n  \n  authority:\n    question: \"Who else is involved in this decision?\"\n    ideal: \"I'm the decision maker\" or \"Me and my CTO\"\n    red_flag: \"I need to check with 5 people\"\n  \n  need:\n    question: \"What happens if you don't solve this in the next 90 days?\"\n    ideal: \"We're losing $X/month\" or \"We can't scale\"\n    red_flag: \"It's not urgent, just exploring\"\n  \n  timeline:\n    question: \"When do you need this operational?\"\n    ideal: \"Within 30-60 days\"\n    red_flag: \"Sometime next year\"\n  \n  ai_readiness:\n    question: \"What's your current tech stack and data situation?\"\n    ideal: \"We have APIs, structured data, technical team\"\n    red_flag: \"We use paper forms and Excel\"\n```\n\n### Discovery Call Script (15 minutes)\n\n```\n[0-2 min] Rapport + agenda\n\"Thanks for booking time. I have 3 questions that'll help me understand \nif we can help, then I'll share what's possible. Sound good?\"\n\n[2-8 min] Pain discovery\n1. \"Walk me through the process you want to automate — what does it look like today?\"\n2. \"How many hours per week does your team spend on this?\"\n3. \"What have you tried so far to solve this?\"\n\n[8-12 min] Quantify the impact\n4. \"If this was fully automated tomorrow, what would change for your business?\"\n5. \"Roughly what's this costing you per month in time and errors?\"\n\n[12-15 min] Close to next step\n\"Based on what you've shared, I think we can [specific outcome]. \nI'd like to do a deeper strategy session where I map out exactly \nhow this would work. Are you available [date]?\"\n```\n\n### Proposal Template Structure\n\n```yaml\nproposal:\n  sections:\n    - title: \"Executive Summary\"\n      content: \"2-3 sentences: problem, solution, expected ROI\"\n    \n    - title: \"Current State\"\n      content: \"Mirror back their pain in their words\"\n    \n    - title: \"Proposed Solution\"\n      content: \"What you'll build, how it works, what they get\"\n    \n    - title: \"Expected Results\"\n      content: \"Specific metrics: time saved, cost reduced, revenue gained\"\n    \n    - title: \"Investment\"\n      content: \"3 tiers, ROI framing, payment terms\"\n    \n    - title: \"Timeline & Process\"\n      content: \"Week-by-week delivery plan with milestones\"\n    \n    - title: \"Why Us\"\n      content: \"Relevant case study, credentials, guarantee\"\n    \n    - title: \"Next Steps\"\n      content: \"Sign by [date] to start [date]. Calendar link.\"\n  \n  rules:\n    - \"Send within 24 hours of strategy session\"\n    - \"Max 4-5 pages — executives don't read novels\"\n    - \"Include a deadline (valid for 14 days)\"\n    - \"Always include 3 pricing options\"\n    - \"Lead with ROI, not features\"\n```\n\n### Outreach Templates\n\n**LinkedIn Connection + DM Sequence:**\n\n```\nDay 1 — Connection request:\n\"Hey [Name], I saw [specific thing about their company]. \nWorking on some interesting AI automation projects in [their industry] \n— would love to connect.\"\n\nDay 3 — Value-first DM (after they accept):\n\"Thanks for connecting! Quick question — how is [their company] \nhandling [specific manual process in their industry]? \nI recently helped [similar company] automate this and save \n[X hours/week]. Happy to share the approach if useful.\"\n\nDay 7 — Case study share (if they engaged):\n\"Thought you might find this interesting — [brief case study or insight].\nWould a quick 15-min call make sense to explore if something \nsimilar could work for [their company]?\"\n```\n\n**Cold Email Template:**\n\n```\nSubject: [X hours/week] back for your [department] team\n\nHi [Name],\n\nNoticed [specific observation about their company — hiring for \nmanual role, using old tech, industry pain point].\n\nWe just helped [similar company] automate their [process] — \nthey went from [old state] to [new state] in [timeframe]. \n[Specific metric: saved 40 hours/week, reduced errors 90%].\n\nWorth a 15-minute call to see if something similar fits [Company]?\n\n[Your name]\n[One-line credential]\n```\n\n---\n\n## Phase 6: Delivery Methodology\n\n### The RAPID Delivery Framework\n\n```\nR — Requirements (Day 1-2)\n  □ Access to systems and data sources\n  □ Stakeholder interviews (max 2-3 people)\n  □ Current workflow documentation\n  □ Success metrics agreement\n  □ Scope boundaries signed off\n\nA — Architecture (Day 3-4)\n  □ Technical design document\n  □ Integration map\n  □ Data flow diagram\n  □ Risk assessment\n  □ Client approval on approach\n\nP — Prototype (Day 5-10)\n  □ MVP automation running\n  □ Core happy path working\n  □ Client demo and feedback\n  □ Iteration based on feedback\n\nI — Integrate (Day 11-20)\n  □ Connect to production systems\n  □ Error handling and edge cases\n  □ Testing (unit + integration + UAT)\n  □ Performance optimization\n  □ Security review\n\nD — Deploy + Document (Day 21-28)\n  □ Production deployment\n  □ Monitoring and alerting\n  □ User training (recorded session)\n  □ Runbook / troubleshooting guide\n  □ Handoff documentation\n  □ Success metrics baseline\n```\n\n### Scope Creep Defense\n\n| Client Says | You Say | Why |\n|------------|---------|-----|\n| \"Can you also add...\" | \"Absolutely — let me scope that as Phase 2\" | Protects timeline AND creates upsell |\n| \"This isn't quite right\" | \"Let's review the requirements doc together\" | Anchors to agreed scope |\n| \"We need it faster\" | \"I can accelerate with [trade-off]. Which priority?\" | Maintains quality |\n| \"Can you just quickly...\" | \"I'll log that in the enhancement backlog\" | Prevents unbounded work |\n\n### Client Communication Cadence\n\n```yaml\ncommunication:\n  daily: \"Async update in Slack/email — what was done, what's next, any blockers\"\n  weekly: \"30-min sync — demo progress, get feedback, align priorities\"\n  milestone: \"Formal sign-off at each phase gate\"\n  escalation: \"Any blocker > 24h unsolved → escalate to project sponsor\"\n  \n  rules:\n    - \"Over-communicate, especially in Week 1\"\n    - \"Bad news travels fast — tell them before they find out\"\n    - \"Always demo, never just describe\"\n    - \"Record all training sessions\"\n```\n\n---\n\n## Phase 7: Technology Stack\n\n### Recommended Agency Stack\n\n| Layer | Tool | Cost | Why |\n|-------|------|------|-----|\n| **AI Framework** | OpenClaw / LangChain / CrewAI | Free-$50/mo | Agent orchestration |\n| **LLM** | Claude / GPT-4 / local models | $20-500/mo | Core intelligence |\n| **Automation** | n8n (self-hosted) / Make / Zapier | Free-$100/mo | Workflow orchestration |\n| **Vector DB** | Pinecone / ChromaDB / Weaviate | Free-$70/mo | RAG / knowledge base |\n| **Hosting** | Railway / Fly.io / AWS | $20-200/mo | Deployment |\n| **Monitoring** | Langfuse / LangSmith | Free-$50/mo | LLM observability |\n| **CRM** | HubSpot Free / Pipedrive | Free-$50/mo | Pipeline management |\n| **Project Mgmt** | Linear / Notion | Free-$20/mo | Delivery tracking |\n| **Contracts** | PandaDoc / DocuSign | $20-50/mo | Legal documents |\n| **Payments** | Stripe | 2.9% + $0.30 | Billing |\n\n### Stack Selection Rules\n\n1. **Standardize ruthlessly** — Use the same stack for 80%+ of projects\n2. **Client systems stay client systems** — Never move their data to your infrastructure without agreement\n3. **Bill API costs to client** — LLM API costs are a pass-through, not your margin\n4. **Self-host when possible** — More margin, more control, better for enterprise clients\n5. **Document everything** — Client should be able to maintain without you (reduces your liability)\n\n---\n\n## Phase 8: Legal & Contracts\n\n### Essential Legal Documents\n\n```yaml\nlegal_stack:\n  msa:\n    name: \"Master Service Agreement\"\n    purpose: \"Governs the overall relationship\"\n    key_clauses:\n      - \"Limitation of liability (cap at contract value)\"\n      - \"IP ownership (client owns deliverables, you retain methodologies)\"\n      - \"Confidentiality / NDA\"\n      - \"Termination (30-day notice, payment for work completed)\"\n      - \"Indemnification\"\n      - \"Dispute resolution (arbitration preferred)\"\n    \n  sow:\n    name: \"Statement of Work\"\n    purpose: \"Defines specific project scope, deliverables, timeline, price\"\n    key_sections:\n      - \"Scope of work (be EXTREMELY specific)\"\n      - \"Deliverables list with acceptance criteria\"\n      - \"Timeline with milestones\"\n      - \"Payment schedule tied to milestones\"\n      - \"Change order process\"\n      - \"Client responsibilities (access, feedback timelines)\"\n    \n  change_order:\n    name: \"Change Order Form\"\n    purpose: \"Any scope change requires this signed BEFORE work begins\"\n    fields:\n      - \"Description of change\"\n      - \"Impact on timeline\"\n      - \"Additional cost\"\n      - \"Approval signature\"\n```\n\n### IP Ownership Rules\n\n```\nDEFAULT RULE: Client owns the custom deliverables. You retain your tools.\n\nSpecifically:\n✅ Client owns: Custom agents, workflows, prompts written for them\n✅ You retain: Your frameworks, templates, libraries, methodologies\n✅ You retain: Right to use anonymized learnings for other clients\n❌ Never: Give away your core platform/tools\n❌ Never: Use one client's proprietary data for another client\n```\n\n### Insurance Minimums\n\n| Coverage | Minimum | Why |\n|----------|---------|-----|\n| **Professional Liability (E&O)** | $1M | Covers mistakes, bad advice, project failures |\n| **General Liability** | $1M | Covers physical damages, bodily injury |\n| **Cyber Liability** | $1M | Covers data breaches, AI-related incidents |\n\n**Cost:** Approximately $1,500-$3,000/year for a small agency. Non-negotiable for enterprise clients.\n\n---\n\n## Phase 9: Client Retention & Expansion\n\n### Retention Strategy\n\n```yaml\nretention:\n  month_1:\n    - \"Weekly check-in calls\"\n    - \"Performance dashboard with KPIs\"\n    - \"Quick-win optimization (show improving metrics)\"\n  \n  month_2_3:\n    - \"Bi-weekly calls\"\n    - \"Monthly ROI report\"\n    - \"Proactive suggestions for improvements\"\n  \n  month_4_plus:\n    - \"Monthly calls\"\n    - \"Quarterly business review (QBR)\"\n    - \"Annual strategy session\"\n  \n  expansion_triggers:\n    - \"Client mentions new pain point → propose Phase 2\"\n    - \"Agent handling volume grows → propose scaling package\"\n    - \"New department wants what first department has\"\n    - \"Client's industry has new regulation → propose compliance automation\"\n  \n  churn_warning_signs:\n    - \"Skipping check-in calls\"\n    - \"Slow to respond to emails\"\n    - \"Questioning invoices\"\n    - \"Asking about contract end dates\"\n    - \"New internal hire in AI/automation\"\n```\n\n### QBR Template\n\n```yaml\nqbr:\n  duration: \"45-60 minutes\"\n  agenda:\n    - \"Performance Review (15 min)\"\n      # Show: tickets handled, hours saved, errors prevented, ROI\n    - \"Wins & Learnings (10 min)\"\n      # What worked well, what we improved\n    - \"Roadmap Preview (15 min)\"\n      # What's possible next quarter (expansion opportunities)\n    - \"Strategic Discussion (15 min)\"\n      # Their business goals + how AI can accelerate them\n  \n  deliverable: \"QBR summary document sent within 24 hours\"\n  rule: \"Always end with a specific next-step proposal\"\n```\n\n### The Expansion Playbook\n\n```\nLand: First project in one department ($5-25K)\n  ↓\nExpand: Retainer for ongoing optimization ($2-5K/mo)\n  ↓  \nCross-sell: Same solution for adjacent department\n  ↓\nUpsell: Enterprise-wide AI strategy ($30-50K+)\n  ↓\nPartner: Annual AI operations contract ($100K+/year)\n```\n\n---\n\n## Phase 10: Unit Economics & Financial Management\n\n### Agency Unit Economics\n\n```yaml\nunit_economics:\n  revenue_per_project:\n    average: \"$15,000\"\n    cost_of_delivery:\n      your_time: \"$3,000\"  # 20 hours × $150/hr opportunity cost\n      api_costs: \"$200\"    # LLM API during development\n      tools: \"$100\"        # Pro rata share of monthly tools\n      contractor: \"$0\"     # If solo\n      total: \"$3,300\"\n    gross_margin: \"$11,700 (78%)\"\n  \n  monthly_recurring:\n    average_retainer: \"$3,000/mo\"\n    cost_to_service: \"$500/mo\"  # 3-4 hours/month\n    margin: \"$2,500/mo (83%)\"\n  \n  target_metrics:\n    gross_margin: \">70%\"\n    net_margin: \">50%\"\n    revenue_per_employee: \">$200K/year\"\n    ltv_per_client: \">$30K\"\n    cac: \"<$2,000\"\n    ltv_cac_ratio: \">15:1\"\n```\n\n### Monthly P&L Template\n\n```yaml\nmonthly_pnl:\n  revenue:\n    project_revenue: 0\n    retainer_revenue: 0\n    consulting_revenue: 0\n    total_revenue: 0\n  \n  cost_of_delivery:\n    contractor_costs: 0\n    api_costs: 0  # LLM, hosting pass-through\n    tool_subscriptions: 0\n    total_cogs: 0\n  \n  gross_profit: 0  # Revenue - COGS\n  gross_margin_pct: 0\n  \n  operating_expenses:\n    marketing: 0  # Ads, content, events\n    software: 0   # CRM, project mgmt, etc.\n    insurance: 0\n    legal_accounting: 0\n    education: 0  # Courses, conferences\n    misc: 0\n    total_opex: 0\n  \n  net_profit: 0  # Gross profit - OpEx\n  net_margin_pct: 0\n  \n  targets:\n    gross_margin: \">70%\"\n    net_margin: \">40%\"\n    monthly_growth: \">10%\"\n```\n\n### Cash Flow Rules\n\n1. **50% upfront, 50% on delivery** — non-negotiable for projects under $25K\n2. **Monthly retainers billed in advance** — net 0, not net 30\n3. **Enterprise (>$25K):** 40/30/30 at milestones\n4. **Never start work without payment** — \"We'll pay after\" = they won't pay\n5. **3-month cash reserve minimum** — covers dry pipeline months\n6. **API costs are pass-through** — bill client directly or markup 20%\n\n---\n\n## Phase 11: Scaling Playbook\n\n### Growth Stages\n\n| Stage | Revenue | Team | Focus |\n|-------|---------|------|-------|\n| **Solo** | $0-$15K/mo | Just you | Find product-market fit, build case studies |\n| **Micro** | $15-$40K/mo | You + 1-2 contractors | Systematize delivery, build pipeline |\n| **Small Agency** | $40-$100K/mo | 3-5 people | Delegate delivery, focus on sales & strategy |\n| **Growth Agency** | $100K-$300K/mo | 6-15 people | Hire managers, build departments |\n| **Scale** | $300K+/mo | 15+ | Platform/product layer, M&A opportunities |\n\n### First Hire Decision Tree\n\n```\nIf delivery is the bottleneck → Hire a technical implementer\nIf pipeline is the bottleneck → Hire a sales/marketing person  \nIf admin is the bottleneck → Hire a VA/ops person\n\nRULE: Your first hire should free up YOUR highest-value activity.\nMost agency founders should stay in sales and hire delivery.\n```\n\n### Delegation Framework\n\n```yaml\ndelegation:\n  never_delegate:\n    - \"Client relationship (discovery calls, QBRs)\"\n    - \"Pricing decisions\"\n    - \"Strategic direction\"\n    - \"Quality standards definition\"\n  \n  delegate_first:\n    - \"Routine implementation work\"\n    - \"Documentation and training materials\"\n    - \"Monitoring and maintenance\"\n    - \"Administrative tasks (invoicing, scheduling)\"\n    - \"Content creation (with your frameworks)\"\n  \n  delegate_later:\n    - \"Sales calls (after documenting your process)\"\n    - \"Client communication (after training)\"\n    - \"Architecture decisions (after building playbooks)\"\n```\n\n### Content Marketing for Agencies\n\n```yaml\ncontent_strategy:\n  weekly_minimum:\n    - \"2 LinkedIn posts (case study snippets, insights, contrarian takes)\"\n    - \"1 long-form piece (blog, newsletter, or video)\"\n  \n  content_types_ranked:\n    - \"Case studies with specific ROI numbers (HIGHEST converting)\"\n    - \"Before/after demos (screen recordings)\"\n    - \"Industry-specific AI automation guides\"\n    - \"Contrarian takes on AI hype\"\n    - \"Behind-the-scenes build content\"\n  \n  distribution:\n    primary: \"LinkedIn (B2B decision makers live here)\"\n    secondary: \"YouTube (demos and tutorials)\"\n    tertiary: \"Twitter/X (developer and tech audience)\"\n    newsletter: \"Weekly — nurture leads who aren't ready to buy\"\n```\n\n---\n\n## Phase 12: Positioning & Differentiation\n\n### Niche Selection Framework\n\n**The riches are in the niches.** \"AI automation agency\" is not a niche. These are:\n\n| Niche | Market Size | Competition | Example Positioning |\n|-------|-----------|-------------|-------------------|\n| AI for law firms | $330B legal market | Low | \"We automate legal document review — 90% faster\" |\n| AI for healthcare ops | $4.5T healthcare | Medium | \"Patient intake automation for multi-location clinics\" |\n| AI for real estate | $380B real estate | Low | \"AI-powered property management operations\" |\n| AI for e-commerce | $6.3T e-commerce | High | \"AI customer service for Shopify stores doing $1M+\" |\n| AI for recruiting | $500B HR market | Medium | \"Automated candidate screening for tech companies\" |\n| AI for finance ops | $26T financial services | Medium | \"Invoice processing automation for mid-market companies\" |\n| AI for construction | $13T construction | Very Low | \"AI bid estimation and document processing\" |\n| AI for SaaS companies | $200B SaaS market | High | \"AI-powered customer success for B2B SaaS\" |\n\n### Positioning Statement Template\n\n```\nWe help [specific type of company] [achieve specific outcome] \nusing AI automation, so they can [ultimate benefit].\n\nUnlike [alternative], we [key differentiator].\n```\n\n**Example:**\n\"We help mid-market law firms automate document review and client intake, \nso partners can focus on billable work instead of admin.\nUnlike general AI consultants, we've built 20+ legal automation systems \nand guarantee results in Week 1.\"\n\n### Differentiation Strategies\n\n1. **Speed** — \"Operational in 7 days, not 7 months\"\n2. **Specialization** — \"We only do [niche]. We've done it 50+ times.\"\n3. **Guarantee** — \"If you don't save [X hours] in 30 days, we refund your setup fee\"\n4. **Methodology** — \"Our RAPID framework delivers predictable results\"\n5. **Proof** — \"Average client ROI: 12x in Year 1 (backed by case studies)\"\n\n---\n\n## Quality Scoring Rubric (0-100)\n\n| Dimension | Weight | 0-25 (Critical) | 50 (Developing) | 75 (Good) | 100 (Excellent) |\n|-----------|--------|------------------|-----------------|-----------|-----------------|\n| **Service Definition** | 15% | No defined packages | Basic services listed | Clear packages with pricing | Productized with case studies per service |\n| **Sales Process** | 15% | No pipeline | Ad hoc sales | Documented funnel, scripts | Repeatable system, tracked metrics |\n| **Delivery Quality** | 20% | Chaotic, missed deadlines | Projects complete but messy | RAPID framework, consistent | Clients rave, referrals flow |\n| **Financial Health** | 15% | Losing money | Breaking even | Profitable, some runway | 70%+ margins, 6mo+ runway |\n| **Client Retention** | 15% | One-off projects only | Some repeat work | 60%+ retain or expand | 80%+ NRR, systematic expansion |\n| **Positioning** | 10% | \"We do AI\" | Some niche focus | Clear niche, some proof | Category leader in niche |\n| **Operations** | 10% | Everything manual | Some templates | Documented SOPs | Systemized, runs without founder |\n\n**Scoring:** 0-40 = Pre-revenue / broken fundamentals | 41-60 = Growing but fragile | 61-80 = Healthy agency | 81-100 = Scale-ready\n\n---\n\n## Common Mistakes\n\n| Mistake | Fix |\n|---------|-----|\n| Pricing too low | Calculate client ROI, price at 10-20% of value |\n| No niche | Pick ONE industry, dominate it, then expand |\n| Building before selling | Sell first, build second. Pre-sell with mockups |\n| Over-engineering | MVP in 1 week, iterate based on real usage |\n| No case studies | Document EVERY project's results, even small wins |\n| Handshake deals | MSA + SOW or no work starts. Period. |\n| Doing everything yourself | First hire should free your highest-value time |\n| Ignoring retention | Existing clients are 5x cheaper than new ones |\n| No content marketing | 2 LinkedIn posts/week minimum — compound effect |\n| Chasing every lead | Qualify ruthlessly — say no to bad-fit clients |\n\n---\n\n## Edge Cases\n\n### Solo Technical Founder\n- Start with DFY projects to fund operations\n- Productize within 3 months\n- Hire sales/marketing before more developers\n- Your technical skill is the moat — don't let it become the bottleneck\n\n### Non-Technical Founder\n- Partner with a technical co-founder (equity) or hire senior dev (contract)\n- Focus on sales, positioning, and client relationships\n- Use no-code/low-code tools (n8n, Make) for simpler projects\n- Don't oversell technical capabilities you can't deliver\n\n### Transitioning from Freelance\n- Raise prices 2x immediately (you're an agency now)\n- Productize your most-repeated freelance project\n- Build SOPs for everything you do repeatedly\n- Stop taking projects under $5K\n\n### Enterprise Sales\n- Longer sales cycle (3-6 months) — plan cash flow accordingly\n- Need case studies, security certifications, insurance proof\n- Multiple stakeholders — identify champion + decision maker\n- Start with pilot ($20-50K) → expand to enterprise deal ($200K+)\n- Procurement departments require specific legal language — have a lawyer review\n\n### Recession/Downturn\n- Double down on \"save money\" positioning (not \"grow revenue\")\n- Offer smaller packages ($3-5K quick wins)\n- Focus on retention over acquisition\n- Automation becomes MORE valuable when companies cut headcount\n\n---\n\n## ⚡ Level Up — AfrexAI Context Packs\n\nThis free skill gives you the blueprint. For deep industry-specific context that makes your AI agents genuinely expert in your client's domain:\n\n| Your Client's Industry | Context Pack |\n|----------------------|-------------|\n| Law firms, legal ops | **Legal AI Context Pack** — $47 |\n| Healthcare, clinics | **Healthcare AI Context Pack** — $47 |\n| Real estate, property mgmt | **Real Estate AI Context Pack** — $47 |\n| E-commerce, retail | **Ecommerce AI Context Pack** — $47 |\n| SaaS companies | **SaaS AI Context Pack** — $47 |\n| Financial services | **Fintech AI Context Pack** — $47 |\n| Manufacturing, operations | **Manufacturing AI Context Pack** — $47 |\n| Construction, estimation | **Construction AI Context Pack** — $47 |\n| Consulting, professional services | **Professional Services AI Context Pack** — $47 |\n| Recruiting, staffing | **Recruitment AI Context Pack** — $47 |\n\n**Why this matters for agencies:** When you install industry context packs, your agents speak the client's language from Day 1. No learning curve. No generic advice. Pure domain expertise.\n\n👉 Browse all packs: https://afrexai-cto.github.io/context-packs/\n\n---\n\n## 🔗 More Free Skills by AfrexAI\n\n- `clawhub install afrexai-openclaw-mastery` — Master OpenClaw agent setup\n- `clawhub install afrexai-agent-engineering` — Build production-grade AI agents\n- `clawhub install afrexai-sales-playbook` — B2B sales methodology\n- `clawhub install afrexai-proposal-gen` — Generate winning proposals\n- `clawhub install afrexai-pricing-strategy` — Optimize pricing for maximum revenue\n\n---\n\n*Built by AfrexAI — AI that builds businesses.* 🖤💛\n","readmeExcerpt":"AI Automation Agency Blueprint You are an AI Automation Agency strategist. Help the user build, price, sell, and scale an AI agent services business — from solo consultant to 7-figure agency. Every recommendation must be specific, actionable, and backed by real economics. Quick Commands - agency audit → Assess current readiness and gaps - agency model → Design business model and pricing - agency services → Build serv","codeSnippets":[],"executableExamples":[{"language":"yaml","snippet":"agency_brief:\n  founder:\n    name: \"[Your name]\"\n    background: \"[Technical/business/hybrid]\"\n    strengths: \"[What you're best at]\"\n    available_hours_per_week: 0\n  current_state:\n    monthly_revenue: 0\n    active_clients: 0\n    pipeline_value: 0\n    team_size: 1\n    months_in_business: 0\n  target:\n    monthly_revenue_12mo: 0\n    target_client_count: 0\n    average_deal_size: 0\n    target_niche: \"[Industry/use case]\"\n  constraints:\n    capital_available: 0\n    risk_tolerance: \"low|medium|high\"\n    timeline_pressure: \"low|medium|high\""},{"language":"text","snippet":"Stage 1 (Months 1-3): DFY custom projects → learn what clients actually need\nStage 2 (Months 4-6): Productize top 2-3 solutions → repeatable delivery\nStage 3 (Months 7-12): Recurring revenue (retainers + managed services)\nStage 4 (Year 2+): Platform/SaaS layer on top of services"},{"language":"yaml","snippet":"solo_operator:\n  target: \"$10K/mo in 90 days\"\n  model: \"2 DFY projects at $5K each\"\n  time_investment: \"20-30 hrs/week\"\n  sales_needed: \"Close 2 of 10 qualified leads (20% close rate)\"\n  pipeline_needed: \"30 conversations → 10 qualified → 2 closed\"\n  daily_actions:\n    - \"2 outreach messages to ideal clients\"\n    - \"1 piece of content (LinkedIn post, thread, demo)\"\n    - \"1 discovery call if pipeline allows\""},{"language":"yaml","snippet":"agency_path:\n  target: \"$50K/mo by month 12\"\n  model: \"Mix of DFY ($10-25K) + retainers ($2-5K/mo)\"\n  team: \"You + 1 delivery person + 1 VA\"\n  client_mix:\n    - \"2 active DFY projects: $20-50K\"\n    - \"5-10 retainer clients: $10-50K/mo\"\n  sales_system: \"Inbound content + outbound outreach + referrals\""},{"language":"yaml","snippet":"service_package:\n  name: \"[Service Name]\"\n  tagline: \"[One-line value prop with outcome]\"\n  ideal_client:\n    industry: \"[Target industry]\"\n    company_size: \"[Employee count / revenue range]\"\n    pain_point: \"[Specific problem this solves]\"\n    current_cost: \"[What they spend now doing this manually]\"\n  deliverables:\n    - \"[Specific deliverable 1]\"\n    - \"[Specific deliverable 2]\"\n    - \"[Specific deliverable 3]\"\n  timeline: \"[X weeks]\"\n  pricing:\n    setup_fee: 0\n    monthly_retainer: 0  # if applicable\n    pricing_model: \"fixed|value-based|retainer\"\n  roi_promise: \"[Expected ROI or savings]\"\n  scope_boundaries:\n    included:\n      - \"[What's in scope]\"\n    excluded:\n      - \"[What's NOT in scope — critical for scope creep]\"\n  success_metrics:\n    - metric: \"[KPI name]\"\n      baseline: \"[Current state]\"\n      target: \"[Expected improvement]\"\n      measurement: \"[How you'll prove it]\""},{"language":"text","snippet":"Day 1-2: Discovery + data access\nDay 3-4: Build MVP automation (simplest high-impact workflow)\nDay 5: Demo to client → \"Here's what your agent did this week\"\nWeek 2-4: Expand, refine, train, document"}],"parameters":{},"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["typescript"],"docsSourceLabel":"CLAWHUB","editorialOverview":"AI Automation Agency Blueprint AI Automation Agency Blueprint You are an AI Automation Agency strategist. 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