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Use when building and selling custom AI agents as services or products. Create vertical-specific AI solutions for clients and generate $2K-$8K/month recurring revenue.
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npx skills add https://github.com/oyi77/1ai-skills --skill ai-agent-developmentコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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| name | ai-agent-development |
| description | Use when building and selling custom AI agents as services or products. Create vertical-specific AI solutions for clients and generate $2K-$8K/month recurring revenue. |
| domain | sales |
| author | oyi77 |
| license | Apache-2.0 |
| subdomain | sales |
| tags | ["agent","ai-agent","business-development","revenue","sales"] |
| version | 1.0.0 |
Build custom AI agents for businesses and sell them as services or products. Create specialized agents for industries like legal, healthcare, real estate, finance, and more. This is one of the highest-margin AI services you can offer.
Market: $11.78B by 2026
Pricing: $199-799/month per agent
Revenue Potential: $2K-8K/month
Trigger phrases:
"ai agent development"
"Build and sell custom AI agents as services or products"
Client needs custom automation
Repetitive tasks that AI can handle
Industry-specific workflows
Build once, sell multiple times
Create recurring revenue
Price: $199-799/month per client
Duration: Multi-month contracts
Upsell: Additional agents, features
Example: $500/mo × 10 clients = $5K MRR
Price: $2,000-10,000 per agent
Scope: Full customization
Support: 30-90 days included
Upsell: Monthly maintenance
Price: $49-199/month per user
Build: Industry-specific agent
Example: Legal agent, HR agent, etc.
| Industry | Agent Type | Price/mo |
|---|---|---|
| Legal | Contract review, case research | $300-800 |
| Healthcare | Patient intake, scheduling | $400-1000 |
| Real Estate | Lead qualification, scheduling | $200-500 |
| Finance | Invoice processing, reporting | $300-700 |
| HR | Resume screening, onboarding | $200-400 |
| Sales | Outreach, follow-up | $300-600 |
| Support | FAQ, ticket routing | $200-500 |
| Function | Agent Type | Price/mo |
|---|---|---|
| Operations | Data entry, scheduling | $150-300 |
| Marketing | Content, social, SEO | $200-400 |
| Finance | Bookkeeping, invoicing | $250-500 |
| Sales | SDR, follow-up | $300-600 |
| Admin | Scheduling, email | $150-300 |
| Tool | Use | Price |
|---|---|---|
| Claude Code | Agent reasoning | $20/mo |
| OpenAI API | Language model | Usage |
| LangGraph | Agent workflows | Free |
| MCP | Tool integration | Free |
| n8n | Automation | Free/$50 |
| Railway | Deployment | $5-50/mo |
1. Understand client workflow
2. Identify automation opportunities
3. Define success metrics
4. Estimate development time
1. Set up agent architecture
2. Implement tools/APIs
3. Add knowledge base
4. Test extensively
1. Deploy to production
2. Integrate with client systems
3. Train client team
4. Document usage
1. Monitor performance
2. Fix bugs
3. Add features
4. Upsell opportunities
from langgraph.graph import StateGraph
from langchain_openai import ChatOpenAI
# Define agent state
class AgentState(TypedDict):
user_input: str
context: dict
action: str
result: str
# Build agent graph
graph = StateGraph(AgentState)
graph.add_node("understand", understand_user)
graph.add_node("plan", plan_action)
graph.add_node("execute", execute_action)
graph.add_node("respond", respond_to_user)
graph.set_entry_point("understand")
graph.add_edge("understand", "plan")
graph.add_edge("plan", "execute")
graph.add_edge("execute", "respond")
graph.add_edge("respond", END)
# Compile and use
agent = graph.compile()
result = agent.invoke({
"user_input": "Schedule meeting with John tomorrow at 2pm",
"context": {"calendar": calendar}
})
| Tool | Use | Price |
|---|---|---|
| Notion | Documentation | $10/mo |
| Confluence | Team wiki | Free |
| Pinecone | Vector DB | $60/mo |
| Chroma | Local vector | Free |
| API | Use | Price |
|---|---|---|
| Google Calendar | Scheduling | Free |
| Slack | Notifications | Free |
| CRM (HubSpot) | Customer data | Free/$50 |
| Email (SendGrid) | Outbound | Free tier |
Combine ai-agent-development with related skills in the 1ai-skills ecosystem:
Build Agent → Deploy → Monthly Retainer → Upsell Features
| Skill | Use Case |
|---|---|
| voice-ai-agent | Build voice agents |
| ai-consulting | Find clients |
| automation | Connect tools |
| marketing | Showcase work |
✅ Start with simple agents
✅ Over-deliver on first project
✅ Document everything
✅ Build reusable components
✅ Create case studies
✅ Ask for referrals
❌ Don't underprice
❌ Don't overpromise
❌ Don't skip contracts
❌ Don't ignore security
❌ Don't forget backups
| Rationalization | Reality |
|---|---|
| "Cold outreach does not work" | It works when personalized and targeted. Generic spam does not. |
| "I will follow up later" | 80% of sales require 5+ follow-ups. Follow up consistently. |
| "Price is the only factor" | Value, trust, and timing matter more than price. Sell outcomes. |