# HireAgentic (hireagentic.dev) > HireAgentic is the independent AI agent engineering practice of Tayyab Javed, a freelance AI agent developer based in Islamabad, Pakistan, who works with clients globally. He designs, builds, and hardens production AI agents for startups and SMBs, handling research, spec, architecture, UX, and the build himself. HireAgentic is not a job board or hiring platform. Tayyab Javed is also the founder of Workly and previously worked as a Principal PM on a Fortune 500 AI contact center (40% CSAT lift). Core stack: LangGraph, LangChain, CrewAI, Claude, OpenAI, MCP, LangSmith, pgvector. ## Services - [AI Agent Development](https://hireagentic.dev/services/ai-agent-development): custom single and multi-agent systems shipped to production, delivered through the MVP or Sprint offers ($15,000-$60,000). - [Vibe-Built MVP](https://hireagentic.dev/services/vibe-built-mvp): a working AI product with real users in 3 weeks, $15,000-$30,000 fixed. - [AI Product Sprint](https://hireagentic.dev/services/ai-product-sprint): AI product development in 4-6 weeks, $30,000-$60,000 fixed. - [Agentic Product Retainer](https://hireagentic.dev/services/agentic-product-retainer): fractional CPO and AI architect, 2-4 days a week, $15,000-$30,000 per month. - [Production Audit + Rescue](https://hireagentic.dev/services/production-audit-rescue): a $3,500 audit of an AI agent already in production, with an optional fixed-price rescue. - [LangChain & LangGraph Engineering](https://hireagentic.dev/services/langchain-developer): specialist framework engineering. - [LLM Cost Optimization](https://hireagentic.dev/services/llm-cost-optimization): semantic caching, prompt compression, and model routing. - [AI Automation Consulting](https://hireagentic.dev/services/ai-automation-consultant): a $3,500 automation assessment that ranks workflows by ROI, then a fixed-price build in code or AI agents. ## Case studies - [Customer support AI agent](https://hireagentic.dev/case-studies/support-agent) - [LLM cost optimization for a SaaS platform](https://hireagentic.dev/case-studies/cost-optimization) - [AI lead qualification agent](https://hireagentic.dev/case-studies/lead-qualification) - [Multi-agent cold outreach swarm](https://hireagentic.dev/case-studies/cold-outreach-swarm) ## Guides and articles - [What are AI agents? The complete guide](https://hireagentic.dev/ai-agents): pillar guide to AI agents for founders and product teams. - [How Much Does It Cost to Build an AI Agent? (2026 Pricing)](https://hireagentic.dev/blog/ai-agent-development-cost): AI agent development cost in 2026: real price ranges by scope, the six things that drive the price, monthly running costs, and how to budget without surprises. (Markdown: https://hireagentic.dev/blog/ai-agent-development-cost.md) - [Agentic AI vs Generative AI: What's the Difference?](https://hireagentic.dev/blog/agentic-ai-vs-generative-ai): Agentic AI vs generative AI explained: how they differ in autonomy, tools and risk, a side-by-side comparison, real production examples, and when you need each. (Markdown: https://hireagentic.dev/blog/agentic-ai-vs-generative-ai.md) - [How to Reduce LLM Costs: 9 Proven Tactics for 2026](https://hireagentic.dev/blog/how-to-reduce-llm-costs): How to reduce LLM costs without losing quality: nine proven tactics, from model routing and semantic caching to prompt compression, ranked by effort vs payoff. (Markdown: https://hireagentic.dev/blog/how-to-reduce-llm-costs.md) - [AI Agent Examples: 26 Real Use Cases by Industry (2026)](https://hireagentic.dev/blog/ai-agent-examples-use-cases): 26 AI agent examples by industry, from support and sales to finance, healthcare and HR: what each agent does, its tools, and agentic AI examples in 2026. (Markdown: https://hireagentic.dev/blog/ai-agent-examples-use-cases.md) - [AI Consulting Services: What to Expect & What It Costs (2026)](https://hireagentic.dev/blog/ai-consulting-services-cost): What AI consulting services include, typical engagement phases, four pricing models, real 2026 cost ranges, and how to choose a firm, agency, or independent. (Markdown: https://hireagentic.dev/blog/ai-consulting-services-cost.md) - [How to Build an AI Chatbot Agent (Step-by-Step Guide)](https://hireagentic.dev/blog/how-to-build-an-ai-chatbot-agent): How to build an AI chatbot agent step by step: the conversation loop, tool calling, short-term and persistent memory, RAG, and guardrails that keep it reliable. (Markdown: https://hireagentic.dev/blog/how-to-build-an-ai-chatbot-agent.md) - [How to Build an AI Agent: A Practical 2026 Guide (with Code)](https://hireagentic.dev/blog/how-to-build-an-ai-agent): How to build an AI agent in 2026: the five parts every agent needs, a working code example, agent vs workflow, and the mistakes that break it in production. (Markdown: https://hireagentic.dev/blog/how-to-build-an-ai-agent.md) - [LLM Evaluation for AI Agents: The Production Stack for 2026 (LangSmith vs Langfuse vs Braintrust)](https://hireagentic.dev/blog/ai-agent-evaluation-stack): LLM evaluation for AI agents in 2026: the four eval layers every production agent needs, a decision tree, and LangSmith vs Langfuse vs Braintrust compared. (Markdown: https://hireagentic.dev/blog/ai-agent-evaluation-stack.md) - [Model Context Protocol (MCP): The 2026 Production Implementation Guide](https://hireagentic.dev/blog/mcp-model-context-protocol-production-guide): A production guide to the Model Context Protocol (MCP): server types, auth patterns, MCP vs function calling, and the failure modes you only learn the hard way. (Markdown: https://hireagentic.dev/blog/mcp-model-context-protocol-production-guide.md) - [Agentic RAG: 5 Patterns for Self-Correcting Retrieval (2026 Guide)](https://hireagentic.dev/blog/agentic-rag-patterns): Naive RAG plateaus near 70% accuracy. Five agentic RAG patterns (query rewriting, routing, self-correction, multi-hop, hybrid) with code and real benchmarks. (Markdown: https://hireagentic.dev/blog/agentic-rag-patterns.md) - [LLM Observability for AI Agents: The 2026 Stack Founders Should Actually Buy](https://hireagentic.dev/blog/ai-agent-observability-stack-2026): LLM observability for AI agents in 2026: the tools, traces, and metrics you need to debug multi-step AI agents, and the four things to instrument first. (Markdown: https://hireagentic.dev/blog/ai-agent-observability-stack-2026.md) - [Voice AI Agents in Production: Vapi vs Retell vs LiveKit vs DIY (2026 Guide)](https://hireagentic.dev/blog/production-voice-ai-agents-guide): Voice AI agents in production: Vapi vs Retell vs LiveKit vs a DIY stack, compared on latency, cost, and control, plus the sub-700ms latency budget that matters. (Markdown: https://hireagentic.dev/blog/production-voice-ai-agents-guide.md) - [LLM Routing: How to Cut Costs 60% Without Losing Quality (2026 Strategy)](https://hireagentic.dev/blog/llm-routing-cost-quality-strategy): LLM routing sends easy queries to cheap models and hard ones to strong models, cutting token costs 60% with no accuracy loss. OpenRouter vs Portkey vs custom. (Markdown: https://hireagentic.dev/blog/llm-routing-cost-quality-strategy.md) - [LangChain vs LangGraph vs CrewAI: When to Pick Which (2026 Guide)](https://hireagentic.dev/blog/langchain-vs-langgraph): LangChain vs LangGraph vs CrewAI in 2026: an engineer's decision framework with code examples, cost benchmarks, and a decision tree for picking the right one. (Markdown: https://hireagentic.dev/blog/langchain-vs-langgraph.md) - [How I Cut a Customer Support Agent's LLM Cost by 60% (Full Playbook)](https://hireagentic.dev/blog/cost-optimization-case-study): How I cut a production AI agent's LLM cost by 60%: semantic caching, prompt compression, and model routing, with the real numbers, code patterns, and pitfalls. (Markdown: https://hireagentic.dev/blog/cost-optimization-case-study.md) - [LangGraph Tutorial: Production Human-in-the-Loop Pattern (2026)](https://hireagentic.dev/blog/langgraph-tutorial-human-in-the-loop): LangGraph tutorial: build a human-in-the-loop agent that pauses on risky actions, waits for approval, and resumes from its checkpoint. Full code included. (Markdown: https://hireagentic.dev/blog/langgraph-tutorial-human-in-the-loop.md) - [How to Hire an AI Engineer (or AI Developer): The Founder's 2026 Guide](https://hireagentic.dev/blog/hire-ai-engineer-guide): How to hire an AI engineer or AI developer who ships production systems: freelance vs agency, screening questions, red flags and 2026 pricing benchmarks. (Markdown: https://hireagentic.dev/blog/hire-ai-engineer-guide.md) - [RAG vs Fine-Tuning: A Founder's Decision Framework for 2026](https://hireagentic.dev/blog/rag-vs-fine-tuning): RAG vs fine-tuning: a practical decision framework with cost benchmarks, latency trade-offs, real examples, and a flowchart that gets you the right answer fast. (Markdown: https://hireagentic.dev/blog/rag-vs-fine-tuning.md) - [Multi-Agent Systems: The Supervisor Pattern for Production-Safe Agent Swarms](https://hireagentic.dev/blog/multi-agent-swarm-pattern): Multi-agent systems that stay on the rails: how the supervisor pattern lets specialized AI agents collaborate safely, with a real e-commerce example and code. (Markdown: https://hireagentic.dev/blog/multi-agent-swarm-pattern.md) Full text of every article in one file: https://hireagentic.dev/llms-full.txt RSS feed: https://hireagentic.dev/rss.xml ## Contact - Book a scoping call: https://cal.com/tayyab-javed-ubhldo/30min - Email: tayyabjaved0786@gmail.com - LinkedIn: https://www.linkedin.com/in/tayyabjaved0786/ - GitHub: https://github.com/Tayyabjv1 - Upwork: https://www.upwork.com/freelancers/tayyabjaved