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| 1 | +{ |
| 2 | + "slug": "ai-agent-development", |
| 3 | + "title": "AI Agent Development", |
| 4 | + "metaTitle": "AI Agent Developer for Hire — Agentic AI Systems | Avaab Razzaq", |
| 5 | + "metaDescription": "Build autonomous multi-agent AI systems using LangGraph, CrewAI, and MCP. I design AI agents that take real-world actions and complete complex tasks end-to-end.", |
| 6 | + "heroTitle": "AI Agent Development", |
| 7 | + "heroSubtitle": "I build autonomous, multi-agent AI systems that perceive, plan, use tools, and complete complex tasks without constant human input.", |
| 8 | + "introduction": "I design and build agentic AI systems — from single autonomous agents to multi-agent orchestration pipelines. Using LangGraph, CrewAI, and Model Context Protocol, I deliver AI that acts, not just answers.", |
| 9 | + "benefits": [ |
| 10 | + { |
| 11 | + "title": "True Autonomy", |
| 12 | + "description": "Agents that plan, use tools, delegate, and complete goals end-to-end — not just answer prompts." |
| 13 | + }, |
| 14 | + { |
| 15 | + "title": "Real-World Tool Access", |
| 16 | + "description": "Via MCP and direct integrations, agents act on your business systems: CRM, databases, email, APIs." |
| 17 | + }, |
| 18 | + { |
| 19 | + "title": "Safe by Design", |
| 20 | + "description": "Human-in-the-loop checkpoints, confidence thresholds, and full audit logs built in from day one." |
| 21 | + } |
| 22 | + ], |
| 23 | + "services": [ |
| 24 | + { |
| 25 | + "name": "Single Agent Systems", |
| 26 | + "description": "Autonomous agents with tool access, memory, and goal-directed behavior for specific business tasks.", |
| 27 | + "icon": "agent" |
| 28 | + }, |
| 29 | + { |
| 30 | + "name": "Multi-Agent Orchestration", |
| 31 | + "description": "CrewAI and LangGraph pipelines with specialized agent roles that collaborate and delegate sub-tasks.", |
| 32 | + "icon": "workflow" |
| 33 | + }, |
| 34 | + { |
| 35 | + "name": "MCP Tool Integration", |
| 36 | + "description": "Connect agents to your business systems via Model Context Protocol servers for standardized tool access.", |
| 37 | + "icon": "integration" |
| 38 | + }, |
| 39 | + { |
| 40 | + "name": "Agent Evaluation & Safety", |
| 41 | + "description": "Evaluation frameworks, safety guardrails, and monitoring systems that make agents production-ready.", |
| 42 | + "icon": "check" |
| 43 | + } |
| 44 | + ], |
| 45 | + "technologies": [ |
| 46 | + "LangGraph", |
| 47 | + "CrewAI", |
| 48 | + "Model Context Protocol", |
| 49 | + "Anthropic Claude", |
| 50 | + "OpenAI", |
| 51 | + "Python", |
| 52 | + "TypeScript", |
| 53 | + "PostgreSQL" |
| 54 | + ], |
| 55 | + "cta": { |
| 56 | + "title": "Ready to Build an AI Agent?", |
| 57 | + "description": "Book a free discovery call to scope your agentic AI use case.", |
| 58 | + "buttonText": "Book a Free Call", |
| 59 | + "buttonLink": "/contact/" |
| 60 | + }, |
| 61 | + "faqs": [ |
| 62 | + { |
| 63 | + "question": "What's the difference between AI automation and an AI agent?", |
| 64 | + "answer": "AI automation executes predefined workflows. An AI agent perceives context, decides which steps to take, uses tools dynamically, and adapts when things change. Agents handle complexity that automation can't." |
| 65 | + }, |
| 66 | + { |
| 67 | + "question": "What frameworks do you use?", |
| 68 | + "answer": "LangGraph for stateful workflows with complex branching. CrewAI for multi-agent role-based systems. MCP for standardized tool access. I choose based on your use case." |
| 69 | + } |
| 70 | + ], |
| 71 | + "relatedServices": [ |
| 72 | + "ai-automation", |
| 73 | + "mcp-integration", |
| 74 | + "llm-integration" |
| 75 | + ] |
| 76 | +} |
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