{ "schemaVersion": "1.0", "item": { "slug": "afrexai-ai-agency-blueprint", "name": "AI Automation Agency Blueprint", "source": "tencent", "type": "skill", "category": "其他", "sourceUrl": "https://clawhub.ai/1kalin/afrexai-ai-agency-blueprint", "canonicalUrl": "https://clawhub.ai/1kalin/afrexai-ai-agency-blueprint", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/afrexai-ai-agency-blueprint", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-ai-agency-blueprint", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "README.md", "SKILL.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. 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Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "AI Automation Agency Blueprint", "body": "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." }, { "title": "Quick Commands", "body": "agency audit → Assess current readiness and gaps\nagency model → Design business model and pricing\nagency services → Build service catalog with scope/pricing\nagency sales → Create sales process and pipeline\nagency deliver → Project delivery methodology\nagency scale → Growth and scaling playbook\nagency stack → Technology stack and tools\nagency hire → Team building and delegation\nagency legal → Contracts, liability, IP protection\nagency finance → Unit economics and profitability\nagency position → Brand positioning and differentiation\nagency retain → Client retention and expansion" }, { "title": "Quick Health Check (Score /16)", "body": "SignalHealthyWarningCriticalService definitionClear packages with pricing\"We do AI stuff\"No defined servicesSales pipeline3+ qualified leads1-2 warm contactsNo pipelineDelivery processDocumented SOPsAd hoc but worksChaos every projectClient resultsCase studies with ROIHappy clients, no dataNo proof of resultsPricing confidenceValue-based, profitableHourly, breaking evenUndercharging, losing moneyTech stackProven, repeatableDifferent every projectExperimenting on client dimeLegal protectionMSA + SOW + insuranceBasic contractHandshake dealsFinancial health3+ months runway, profitableMonth-to-monthBurning cash\n\nScore: 2 per healthy, 1 per warning, 0 per critical. Target: 12+" }, { "title": "Agency Brief", "body": "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\"" }, { "title": "Model Selection Matrix", "body": "ModelRevenue/ClientScalabilityComplexityBest ForDone-For-You (DFY)$5K-$50K+Low (time-bound)HighTechnical founders, premium positioningDone-With-You (DWY)$2K-$15KMediumMediumConsultants, coachesProductized Service$1K-$5K/moHighMediumRepeatable solutionsSaaS + Service$500-$5K/moVery HighVery HighPlatform buildersTraining/Education$500-$5KVery HighLowThought leaders" }, { "title": "Recommended Progression", "body": "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" }, { "title": "The $10K/mo Solo Operator Path", "body": "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\"" }, { "title": "The $50K/mo Agency Path", "body": "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\"" }, { "title": "High-Demand AI Agent Services (Ranked by Market Demand)", "body": "ServiceTypical PriceDelivery TimeDemand LevelComplexityCustomer Support Automation$5K-$25K2-4 weeks🔥🔥🔥🔥🔥MediumSales Pipeline Automation$8K-$30K3-6 weeks🔥🔥🔥🔥🔥HighDocument Processing/Extraction$5K-$20K2-4 weeks🔥🔥🔥🔥MediumInternal Knowledge Base/RAG$10K-$40K4-8 weeks🔥🔥🔥🔥HighEmail/Inbox Automation$3K-$15K1-3 weeks🔥🔥🔥🔥Low-MediumMeeting Scheduling + Follow-up$3K-$10K1-2 weeks🔥🔥🔥LowContent Generation Pipeline$5K-$20K2-4 weeks🔥🔥🔥MediumData Analysis/Reporting Agents$8K-$25K3-5 weeks🔥🔥🔥HighHR/Recruiting Automation$10K-$30K4-6 weeks🔥🔥🔥HighCompliance Monitoring$15K-$50K6-10 weeks🔥🔥Very High" }, { "title": "Service Package Template", "body": "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]\"" }, { "title": "The \"Week One Win\" Framework", "body": "Every project MUST deliver a visible win in Week 1:\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\nWhy this matters: Clients who see results in Week 1 have 90%+ retention. Clients who wait 4 weeks for anything lose faith." }, { "title": "Value-Based Pricing Framework", "body": "Never price based on your time. Price based on client value.\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" }, { "title": "Pricing Tiers (Good-Better-Best)", "body": "pricing_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%+\"" }, { "title": "Pricing Psychology Rules", "body": "Always present 3 options — middle option gets chosen 60% of the time\nPrice in terms of ROI — \"$15K investment that saves $200K\" not \"$15K project\"\nAnnual framing — \"$5K/mo\" sounds cheaper as \"$60K/year for $500K in savings\"\nAnchor high — Present enterprise tier first in proposals\nNever discount — Add scope instead (\"I can't lower the price, but I can add X\")\nSeparate setup from recurring — Setup is a one-time investment, recurring is the relationship" }, { "title": "When to Raise Prices", "body": "Close rate > 50% → you're too cheap\nClose rate 30-50% → you're in the sweet spot\nClose rate < 20% → positioning problem (not necessarily price)\nEvery 3 new case studies → raise 15-25%\nAfter any project with >10x client ROI → raise for that service category" }, { "title": "The AI Agency Sales Funnel", "body": "Awareness (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)" }, { "title": "Qualification Framework (BANT-AI)", "body": "qualification:\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\"" }, { "title": "Discovery Call Script (15 minutes)", "body": "[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]?\"" }, { "title": "Proposal Template Structure", "body": "proposal:\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\"" }, { "title": "Outreach Templates", "body": "LinkedIn Connection + DM Sequence:\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\nCold Email Template:\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]" }, { "title": "The RAPID Delivery Framework", "body": "R — 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" }, { "title": "Scope Creep Defense", "body": "Client SaysYou SayWhy\"Can you also add...\"\"Absolutely — let me scope that as Phase 2\"Protects timeline AND creates upsell\"This isn't quite right\"\"Let's review the requirements doc together\"Anchors to agreed scope\"We need it faster\"\"I can accelerate with [trade-off]. Which priority?\"Maintains quality\"Can you just quickly...\"\"I'll log that in the enhancement backlog\"Prevents unbounded work" }, { "title": "Client Communication Cadence", "body": "communication:\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\"" }, { "title": "Recommended Agency Stack", "body": "LayerToolCostWhyAI FrameworkOpenClaw / LangChain / CrewAIFree-$50/moAgent orchestrationLLMClaude / GPT-4 / local models$20-500/moCore intelligenceAutomationn8n (self-hosted) / Make / ZapierFree-$100/moWorkflow orchestrationVector DBPinecone / ChromaDB / WeaviateFree-$70/moRAG / knowledge baseHostingRailway / Fly.io / AWS$20-200/moDeploymentMonitoringLangfuse / LangSmithFree-$50/moLLM observabilityCRMHubSpot Free / PipedriveFree-$50/moPipeline managementProject MgmtLinear / NotionFree-$20/moDelivery trackingContractsPandaDoc / DocuSign$20-50/moLegal documentsPaymentsStripe2.9% + $0.30Billing" }, { "title": "Stack Selection Rules", "body": "Standardize ruthlessly — Use the same stack for 80%+ of projects\nClient systems stay client systems — Never move their data to your infrastructure without agreement\nBill API costs to client — LLM API costs are a pass-through, not your margin\nSelf-host when possible — More margin, more control, better for enterprise clients\nDocument everything — Client should be able to maintain without you (reduces your liability)" }, { "title": "Essential Legal Documents", "body": "legal_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\"" }, { "title": "IP Ownership Rules", "body": "DEFAULT 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" }, { "title": "Insurance Minimums", "body": "CoverageMinimumWhyProfessional Liability (E&O)$1MCovers mistakes, bad advice, project failuresGeneral Liability$1MCovers physical damages, bodily injuryCyber Liability$1MCovers data breaches, AI-related incidents\n\nCost: Approximately $1,500-$3,000/year for a small agency. Non-negotiable for enterprise clients." }, { "title": "Retention Strategy", "body": "retention:\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\"" }, { "title": "QBR Template", "body": "qbr:\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\"" }, { "title": "The Expansion Playbook", "body": "Land: 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)" }, { "title": "Agency Unit Economics", "body": "unit_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\"" }, { "title": "Monthly P&L Template", "body": "monthly_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%\"" }, { "title": "Cash Flow Rules", "body": "50% upfront, 50% on delivery — non-negotiable for projects under $25K\nMonthly retainers billed in advance — net 0, not net 30\nEnterprise (>$25K): 40/30/30 at milestones\nNever start work without payment — \"We'll pay after\" = they won't pay\n3-month cash reserve minimum — covers dry pipeline months\nAPI costs are pass-through — bill client directly or markup 20%" }, { "title": "Growth Stages", "body": "StageRevenueTeamFocusSolo$0-$15K/moJust youFind product-market fit, build case studiesMicro$15-$40K/moYou + 1-2 contractorsSystematize delivery, build pipelineSmall Agency$40-$100K/mo3-5 peopleDelegate delivery, focus on sales & strategyGrowth Agency$100K-$300K/mo6-15 peopleHire managers, build departmentsScale$300K+/mo15+Platform/product layer, M&A opportunities" }, { "title": "First Hire Decision Tree", "body": "If 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." }, { "title": "Delegation Framework", "body": "delegation:\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)\"" }, { "title": "Content Marketing for Agencies", "body": "content_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\"" }, { "title": "Niche Selection Framework", "body": "The riches are in the niches. \"AI automation agency\" is not a niche. These are:\n\nNicheMarket SizeCompetitionExample PositioningAI for law firms$330B legal marketLow\"We automate legal document review — 90% faster\"AI for healthcare ops$4.5T healthcareMedium\"Patient intake automation for multi-location clinics\"AI for real estate$380B real estateLow\"AI-powered property management operations\"AI for e-commerce$6.3T e-commerceHigh\"AI customer service for Shopify stores doing $1M+\"AI for recruiting$500B HR marketMedium\"Automated candidate screening for tech companies\"AI for finance ops$26T financial servicesMedium\"Invoice processing automation for mid-market companies\"AI for construction$13T constructionVery Low\"AI bid estimation and document processing\"AI for SaaS companies$200B SaaS marketHigh\"AI-powered customer success for B2B SaaS\"" }, { "title": "Positioning Statement Template", "body": "We help [specific type of company] [achieve specific outcome] \nusing AI automation, so they can [ultimate benefit].\n\nUnlike [alternative], we [key differentiator].\n\nExample:\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.\"" }, { "title": "Differentiation Strategies", "body": "Speed — \"Operational in 7 days, not 7 months\"\nSpecialization — \"We only do [niche]. We've done it 50+ times.\"\nGuarantee — \"If you don't save [X hours] in 30 days, we refund your setup fee\"\nMethodology — \"Our RAPID framework delivers predictable results\"\nProof — \"Average client ROI: 12x in Year 1 (backed by case studies)\"" }, { "title": "Quality Scoring Rubric (0-100)", "body": "DimensionWeight0-25 (Critical)50 (Developing)75 (Good)100 (Excellent)Service Definition15%No defined packagesBasic services listedClear packages with pricingProductized with case studies per serviceSales Process15%No pipelineAd hoc salesDocumented funnel, scriptsRepeatable system, tracked metricsDelivery Quality20%Chaotic, missed deadlinesProjects complete but messyRAPID framework, consistentClients rave, referrals flowFinancial Health15%Losing moneyBreaking evenProfitable, some runway70%+ margins, 6mo+ runwayClient Retention15%One-off projects onlySome repeat work60%+ retain or expand80%+ NRR, systematic expansionPositioning10%\"We do AI\"Some niche focusClear niche, some proofCategory leader in nicheOperations10%Everything manualSome templatesDocumented SOPsSystemized, runs without founder\n\nScoring: 0-40 = Pre-revenue / broken fundamentals | 41-60 = Growing but fragile | 61-80 = Healthy agency | 81-100 = Scale-ready" }, { "title": "Common Mistakes", "body": "MistakeFixPricing too lowCalculate client ROI, price at 10-20% of valueNo nichePick ONE industry, dominate it, then expandBuilding before sellingSell first, build second. Pre-sell with mockupsOver-engineeringMVP in 1 week, iterate based on real usageNo case studiesDocument EVERY project's results, even small winsHandshake dealsMSA + SOW or no work starts. Period.Doing everything yourselfFirst hire should free your highest-value timeIgnoring retentionExisting clients are 5x cheaper than new onesNo content marketing2 LinkedIn posts/week minimum — compound effectChasing every leadQualify ruthlessly — say no to bad-fit clients" }, { "title": "Solo Technical Founder", "body": "Start with DFY projects to fund operations\nProductize within 3 months\nHire sales/marketing before more developers\nYour technical skill is the moat — don't let it become the bottleneck" }, { "title": "Non-Technical Founder", "body": "Partner with a technical co-founder (equity) or hire senior dev (contract)\nFocus on sales, positioning, and client relationships\nUse no-code/low-code tools (n8n, Make) for simpler projects\nDon't oversell technical capabilities you can't deliver" }, { "title": "Transitioning from Freelance", "body": "Raise prices 2x immediately (you're an agency now)\nProductize your most-repeated freelance project\nBuild SOPs for everything you do repeatedly\nStop taking projects under $5K" }, { "title": "Enterprise Sales", "body": "Longer sales cycle (3-6 months) — plan cash flow accordingly\nNeed case studies, security certifications, insurance proof\nMultiple stakeholders — identify champion + decision maker\nStart with pilot ($20-50K) → expand to enterprise deal ($200K+)\nProcurement departments require specific legal language — have a lawyer review" }, { "title": "Recession/Downturn", "body": "Double down on \"save money\" positioning (not \"grow revenue\")\nOffer smaller packages ($3-5K quick wins)\nFocus on retention over acquisition\nAutomation becomes MORE valuable when companies cut headcount" }, { "title": "⚡ Level Up — AfrexAI Context Packs", "body": "This free skill gives you the blueprint. For deep industry-specific context that makes your AI agents genuinely expert in your client's domain:\n\nYour Client's IndustryContext PackLaw firms, legal opsLegal AI Context Pack — $47Healthcare, clinicsHealthcare AI Context Pack — $47Real estate, property mgmtReal Estate AI Context Pack — $47E-commerce, retailEcommerce AI Context Pack — $47SaaS companiesSaaS AI Context Pack — $47Financial servicesFintech AI Context Pack — $47Manufacturing, operationsManufacturing AI Context Pack — $47Construction, estimationConstruction AI Context Pack — $47Consulting, professional servicesProfessional Services AI Context Pack — $47Recruiting, staffingRecruitment AI Context Pack — $47\n\nWhy 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/" }, { "title": "🔗 More Free Skills by AfrexAI", "body": "clawhub install afrexai-openclaw-mastery — Master OpenClaw agent setup\nclawhub install afrexai-agent-engineering — Build production-grade AI agents\nclawhub install afrexai-sales-playbook — B2B sales methodology\nclawhub install afrexai-proposal-gen — Generate winning proposals\nclawhub install afrexai-pricing-strategy — Optimize pricing for maximum revenue\n\nBuilt by AfrexAI — AI that builds businesses. 🖤💛" } ], "body": "AI Automation Agency Blueprint\n\nYou 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.\n\nQuick Commands\nagency audit → Assess current readiness and gaps\nagency model → Design business model and pricing\nagency services → Build service catalog with scope/pricing\nagency sales → Create sales process and pipeline\nagency deliver → Project delivery methodology\nagency scale → Growth and scaling playbook\nagency stack → Technology stack and tools\nagency hire → Team building and delegation\nagency legal → Contracts, liability, IP protection\nagency finance → Unit economics and profitability\nagency position → Brand positioning and differentiation\nagency retain → Client retention and expansion\nPhase 1: Agency Readiness Assessment\nQuick Health Check (Score /16)\nSignal\tHealthy\tWarning\tCritical\nService definition\tClear packages with pricing\t\"We do AI stuff\"\tNo defined services\nSales pipeline\t3+ qualified leads\t1-2 warm contacts\tNo pipeline\nDelivery process\tDocumented SOPs\tAd hoc but works\tChaos every project\nClient results\tCase studies with ROI\tHappy clients, no data\tNo proof of results\nPricing confidence\tValue-based, profitable\tHourly, breaking even\tUndercharging, losing money\nTech stack\tProven, repeatable\tDifferent every project\tExperimenting on client dime\nLegal protection\tMSA + SOW + insurance\tBasic contract\tHandshake deals\nFinancial health\t3+ months runway, profitable\tMonth-to-month\tBurning cash\n\nScore: 2 per healthy, 1 per warning, 0 per critical. Target: 12+\n\nAgency Brief\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\nPhase 2: Business Model Design\nModel Selection Matrix\nModel\tRevenue/Client\tScalability\tComplexity\tBest For\nDone-For-You (DFY)\t$5K-$50K+\tLow (time-bound)\tHigh\tTechnical founders, premium positioning\nDone-With-You (DWY)\t$2K-$15K\tMedium\tMedium\tConsultants, coaches\nProductized Service\t$1K-$5K/mo\tHigh\tMedium\tRepeatable solutions\nSaaS + Service\t$500-$5K/mo\tVery High\tVery High\tPlatform builders\nTraining/Education\t$500-$5K\tVery High\tLow\tThought leaders\nRecommended Progression\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\nThe $10K/mo Solo Operator Path\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\nThe $50K/mo Agency Path\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\nPhase 3: Service Catalog Design\nHigh-Demand AI Agent Services (Ranked by Market Demand)\nService\tTypical Price\tDelivery Time\tDemand Level\tComplexity\nCustomer Support Automation\t$5K-$25K\t2-4 weeks\t🔥🔥🔥🔥🔥\tMedium\nSales Pipeline Automation\t$8K-$30K\t3-6 weeks\t🔥🔥🔥🔥🔥\tHigh\nDocument Processing/Extraction\t$5K-$20K\t2-4 weeks\t🔥🔥🔥🔥\tMedium\nInternal Knowledge Base/RAG\t$10K-$40K\t4-8 weeks\t🔥🔥🔥🔥\tHigh\nEmail/Inbox Automation\t$3K-$15K\t1-3 weeks\t🔥🔥🔥🔥\tLow-Medium\nMeeting Scheduling + Follow-up\t$3K-$10K\t1-2 weeks\t🔥🔥🔥\tLow\nContent Generation Pipeline\t$5K-$20K\t2-4 weeks\t🔥🔥🔥\tMedium\nData Analysis/Reporting Agents\t$8K-$25K\t3-5 weeks\t🔥🔥🔥\tHigh\nHR/Recruiting Automation\t$10K-$30K\t4-6 weeks\t🔥🔥🔥\tHigh\nCompliance Monitoring\t$15K-$50K\t6-10 weeks\t🔥🔥\tVery High\nService Package Template\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\nThe \"Week One Win\" Framework\n\nEvery project MUST deliver a visible win in Week 1:\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\nWhy this matters: Clients who see results in Week 1 have 90%+ retention. Clients who wait 4 weeks for anything lose faith.\n\nPhase 4: Pricing Strategy\nValue-Based Pricing Framework\n\nNever price based on your time. Price based on client value.\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\nPricing Tiers (Good-Better-Best)\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\nPricing Psychology Rules\nAlways present 3 options — middle option gets chosen 60% of the time\nPrice in terms of ROI — \"$15K investment that saves $200K\" not \"$15K project\"\nAnnual framing — \"$5K/mo\" sounds cheaper as \"$60K/year for $500K in savings\"\nAnchor high — Present enterprise tier first in proposals\nNever discount — Add scope instead (\"I can't lower the price, but I can add X\")\nSeparate setup from recurring — Setup is a one-time investment, recurring is the relationship\nWhen to Raise Prices\nClose rate > 50% → you're too cheap\nClose rate 30-50% → you're in the sweet spot\nClose rate < 20% → positioning problem (not necessarily price)\nEvery 3 new case studies → raise 15-25%\nAfter any project with >10x client ROI → raise for that service category\nPhase 5: Sales Process\nThe AI Agency Sales Funnel\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\nQualification Framework (BANT-AI)\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\nDiscovery Call Script (15 minutes)\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\nProposal Template Structure\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\nOutreach Templates\n\nLinkedIn Connection + DM Sequence:\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\nCold Email Template:\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\nPhase 6: Delivery Methodology\nThe RAPID Delivery Framework\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\nScope Creep Defense\nClient Says\tYou Say\tWhy\n\"Can you also add...\"\t\"Absolutely — let me scope that as Phase 2\"\tProtects timeline AND creates upsell\n\"This isn't quite right\"\t\"Let's review the requirements doc together\"\tAnchors to agreed scope\n\"We need it faster\"\t\"I can accelerate with [trade-off]. Which priority?\"\tMaintains quality\n\"Can you just quickly...\"\t\"I'll log that in the enhancement backlog\"\tPrevents unbounded work\nClient Communication Cadence\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\nPhase 7: Technology Stack\nRecommended Agency Stack\nLayer\tTool\tCost\tWhy\nAI Framework\tOpenClaw / LangChain / CrewAI\tFree-$50/mo\tAgent orchestration\nLLM\tClaude / GPT-4 / local models\t$20-500/mo\tCore intelligence\nAutomation\tn8n (self-hosted) / Make / Zapier\tFree-$100/mo\tWorkflow orchestration\nVector DB\tPinecone / ChromaDB / Weaviate\tFree-$70/mo\tRAG / knowledge base\nHosting\tRailway / Fly.io / AWS\t$20-200/mo\tDeployment\nMonitoring\tLangfuse / LangSmith\tFree-$50/mo\tLLM observability\nCRM\tHubSpot Free / Pipedrive\tFree-$50/mo\tPipeline management\nProject Mgmt\tLinear / Notion\tFree-$20/mo\tDelivery tracking\nContracts\tPandaDoc / DocuSign\t$20-50/mo\tLegal documents\nPayments\tStripe\t2.9% + $0.30\tBilling\nStack Selection Rules\nStandardize ruthlessly — Use the same stack for 80%+ of projects\nClient systems stay client systems — Never move their data to your infrastructure without agreement\nBill API costs to client — LLM API costs are a pass-through, not your margin\nSelf-host when possible — More margin, more control, better for enterprise clients\nDocument everything — Client should be able to maintain without you (reduces your liability)\nPhase 8: Legal & Contracts\nEssential Legal Documents\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\nIP Ownership Rules\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\nInsurance Minimums\nCoverage\tMinimum\tWhy\nProfessional Liability (E&O)\t$1M\tCovers mistakes, bad advice, project failures\nGeneral Liability\t$1M\tCovers physical damages, bodily injury\nCyber Liability\t$1M\tCovers data breaches, AI-related incidents\n\nCost: Approximately $1,500-$3,000/year for a small agency. Non-negotiable for enterprise clients.\n\nPhase 9: Client Retention & Expansion\nRetention Strategy\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\nQBR Template\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\nThe Expansion Playbook\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\nPhase 10: Unit Economics & Financial Management\nAgency Unit Economics\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\nMonthly P&L Template\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\nCash Flow Rules\n50% upfront, 50% on delivery — non-negotiable for projects under $25K\nMonthly retainers billed in advance — net 0, not net 30\nEnterprise (>$25K): 40/30/30 at milestones\nNever start work without payment — \"We'll pay after\" = they won't pay\n3-month cash reserve minimum — covers dry pipeline months\nAPI costs are pass-through — bill client directly or markup 20%\nPhase 11: Scaling Playbook\nGrowth Stages\nStage\tRevenue\tTeam\tFocus\nSolo\t$0-$15K/mo\tJust you\tFind product-market fit, build case studies\nMicro\t$15-$40K/mo\tYou + 1-2 contractors\tSystematize delivery, build pipeline\nSmall Agency\t$40-$100K/mo\t3-5 people\tDelegate delivery, focus on sales & strategy\nGrowth Agency\t$100K-$300K/mo\t6-15 people\tHire managers, build departments\nScale\t$300K+/mo\t15+\tPlatform/product layer, M&A opportunities\nFirst Hire Decision Tree\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\nDelegation Framework\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\nContent Marketing for Agencies\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\nPhase 12: Positioning & Differentiation\nNiche Selection Framework\n\nThe riches are in the niches. \"AI automation agency\" is not a niche. These are:\n\nNiche\tMarket Size\tCompetition\tExample Positioning\nAI for law firms\t$330B legal market\tLow\t\"We automate legal document review — 90% faster\"\nAI for healthcare ops\t$4.5T healthcare\tMedium\t\"Patient intake automation for multi-location clinics\"\nAI for real estate\t$380B real estate\tLow\t\"AI-powered property management operations\"\nAI for e-commerce\t$6.3T e-commerce\tHigh\t\"AI customer service for Shopify stores doing $1M+\"\nAI for recruiting\t$500B HR market\tMedium\t\"Automated candidate screening for tech companies\"\nAI for finance ops\t$26T financial services\tMedium\t\"Invoice processing automation for mid-market companies\"\nAI for construction\t$13T construction\tVery Low\t\"AI bid estimation and document processing\"\nAI for SaaS companies\t$200B SaaS market\tHigh\t\"AI-powered customer success for B2B SaaS\"\nPositioning Statement Template\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\nExample: \"We help mid-market law firms automate document review and client intake, so partners can focus on billable work instead of admin. Unlike general AI consultants, we've built 20+ legal automation systems and guarantee results in Week 1.\"\n\nDifferentiation Strategies\nSpeed — \"Operational in 7 days, not 7 months\"\nSpecialization — \"We only do [niche]. We've done it 50+ times.\"\nGuarantee — \"If you don't save [X hours] in 30 days, we refund your setup fee\"\nMethodology — \"Our RAPID framework delivers predictable results\"\nProof — \"Average client ROI: 12x in Year 1 (backed by case studies)\"\nQuality Scoring Rubric (0-100)\nDimension\tWeight\t0-25 (Critical)\t50 (Developing)\t75 (Good)\t100 (Excellent)\nService Definition\t15%\tNo defined packages\tBasic services listed\tClear packages with pricing\tProductized with case studies per service\nSales Process\t15%\tNo pipeline\tAd hoc sales\tDocumented funnel, scripts\tRepeatable system, tracked metrics\nDelivery Quality\t20%\tChaotic, missed deadlines\tProjects complete but messy\tRAPID framework, consistent\tClients rave, referrals flow\nFinancial Health\t15%\tLosing money\tBreaking even\tProfitable, some runway\t70%+ margins, 6mo+ runway\nClient Retention\t15%\tOne-off projects only\tSome repeat work\t60%+ retain or expand\t80%+ NRR, systematic expansion\nPositioning\t10%\t\"We do AI\"\tSome niche focus\tClear niche, some proof\tCategory leader in niche\nOperations\t10%\tEverything manual\tSome templates\tDocumented SOPs\tSystemized, runs without founder\n\nScoring: 0-40 = Pre-revenue / broken fundamentals | 41-60 = Growing but fragile | 61-80 = Healthy agency | 81-100 = Scale-ready\n\nCommon Mistakes\nMistake\tFix\nPricing too low\tCalculate client ROI, price at 10-20% of value\nNo niche\tPick ONE industry, dominate it, then expand\nBuilding before selling\tSell first, build second. Pre-sell with mockups\nOver-engineering\tMVP in 1 week, iterate based on real usage\nNo case studies\tDocument EVERY project's results, even small wins\nHandshake deals\tMSA + SOW or no work starts. Period.\nDoing everything yourself\tFirst hire should free your highest-value time\nIgnoring retention\tExisting clients are 5x cheaper than new ones\nNo content marketing\t2 LinkedIn posts/week minimum — compound effect\nChasing every lead\tQualify ruthlessly — say no to bad-fit clients\nEdge Cases\nSolo Technical Founder\nStart with DFY projects to fund operations\nProductize within 3 months\nHire sales/marketing before more developers\nYour technical skill is the moat — don't let it become the bottleneck\nNon-Technical Founder\nPartner with a technical co-founder (equity) or hire senior dev (contract)\nFocus on sales, positioning, and client relationships\nUse no-code/low-code tools (n8n, Make) for simpler projects\nDon't oversell technical capabilities you can't deliver\nTransitioning from Freelance\nRaise prices 2x immediately (you're an agency now)\nProductize your most-repeated freelance project\nBuild SOPs for everything you do repeatedly\nStop taking projects under $5K\nEnterprise Sales\nLonger sales cycle (3-6 months) — plan cash flow accordingly\nNeed case studies, security certifications, insurance proof\nMultiple stakeholders — identify champion + decision maker\nStart with pilot ($20-50K) → expand to enterprise deal ($200K+)\nProcurement departments require specific legal language — have a lawyer review\nRecession/Downturn\nDouble down on \"save money\" positioning (not \"grow revenue\")\nOffer smaller packages ($3-5K quick wins)\nFocus on retention over acquisition\nAutomation becomes MORE valuable when companies cut headcount\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\nYour Client's Industry\tContext Pack\nLaw firms, legal ops\tLegal AI Context Pack — $47\nHealthcare, clinics\tHealthcare AI Context Pack — $47\nReal estate, property mgmt\tReal Estate AI Context Pack — $47\nE-commerce, retail\tEcommerce AI Context Pack — $47\nSaaS companies\tSaaS AI Context Pack — $47\nFinancial services\tFintech AI Context Pack — $47\nManufacturing, operations\tManufacturing AI Context Pack — $47\nConstruction, estimation\tConstruction AI Context Pack — $47\nConsulting, professional services\tProfessional Services AI Context Pack — $47\nRecruiting, staffing\tRecruitment AI Context Pack — $47\n\nWhy 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🔗 More Free Skills by AfrexAI\nclawhub install afrexai-openclaw-mastery — Master OpenClaw agent setup\nclawhub install afrexai-agent-engineering — Build production-grade AI agents\nclawhub install afrexai-sales-playbook — B2B sales methodology\nclawhub install afrexai-proposal-gen — Generate winning proposals\nclawhub install afrexai-pricing-strategy — Optimize pricing for maximum revenue\n\nBuilt by AfrexAI — AI that builds businesses. 🖤💛" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/1kalin/afrexai-ai-agency-blueprint", "publisherUrl": "https://clawhub.ai/1kalin/afrexai-ai-agency-blueprint", "owner": "1kalin", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/afrexai-ai-agency-blueprint", "downloadUrl": "https://openagent3.xyz/downloads/afrexai-ai-agency-blueprint", "agentUrl": "https://openagent3.xyz/skills/afrexai-ai-agency-blueprint/agent", "manifestUrl": "https://openagent3.xyz/skills/afrexai-ai-agency-blueprint/agent.json", "briefUrl": "https://openagent3.xyz/skills/afrexai-ai-agency-blueprint/agent.md" } }