AGENTIKA: How AI Gets Things Done Itself — The Practical Guide to Building AI Agents

AI is moving from answering questions to getting things done.

AGENTIKA is a practical engineering guide to building AI agents that can reason, plan, use tools, take actions, learn from state and memory, and work together to accomplish real-world goals.

Rather than focusing on AI theory or simple chatbot implementations, this book takes you through the architecture and engineering disciplines required to build real, production-grade agentic systems.

You will start with the fundamentals of how an agent works, then progressively build toward sophisticated multi-agent architectures and complete real-world systems.

What you’ll learn

• Understand the difference between chatbots, LLM applications, and autonomous agents
• Build the core agent loop: understand → plan → act → observe → evaluate → continue
• Design and integrate reliable tools and APIs
• Give agents access to real-world systems such as CRMs, databases, email and other services
• Implement memory and state
• Build agents capable of planning and executing multi-step tasks
• Connect agents to external systems through MCP
• Run code safely using sandboxed execution
• Design human-in-the-loop workflows
• Build multi-agent systems with supervisors and specialized agents
• Use the agent-as-a-tool pattern to create composable systems
• Design sequential, parallel, hierarchical and other multi-agent architectures
• Protect agents with guardrails and permissions
• Understand and defend against prompt injection and other agent security threats
• Build reliable systems with retries, timeouts, checkpoints and failure handling
• Implement observability and tracing for agent runs
• Evaluate agents systematically instead of relying on traditional software tests
• Optimize LLM costs and performance
• Move from an experimental prototype to a production-grade agent system

Build real AI agents

AGENTIKA doesn’t stop at concepts.

The final part of the book puts the architecture into practice through complete projects:

🔎 Research Agent
Build an agent that searches for information, evaluates sources, collects evidence, writes a cited report and reviews its own work.

💼 Sales Agent
Build an agent that takes a raw lead through research, qualification, personalization, human approval, outreach and CRM tracking.

👨‍💻 AI Developer Agent
Build an agent that can inspect a repository, plan changes, write code, run tests, debug failures, review its work and commit changes — inside a controlled sandbox.

🏢 Multi-Agent Company
Bring everything together into an AI organization with specialized agents for research, sales, finance and operations, coordinated by a central supervisor and controlled by a human.

And finally, you’ll learn how to transform these concepts into a reusable AI agent platform that can support completely different types of agents and businesses.

Who is this book for?

AGENTIKA is designed for:

• Software developers
• AI engineers
• Automation developers
• Technical founders
• CTOs and technology leaders
• Developers building with LLM APIs
• n8n and workflow automation developers
• Entrepreneurs exploring AI-powered businesses
• Anyone who wants to move beyond prompting and start building AI systems that actually perform tasks

From AI assistant to AI system

The central idea behind AGENTIKA is simple:

An AI agent isn’t just a model that generates an answer. It’s a system that can pursue a goal through a controlled sequence of actions.

The book takes you from a single LLM call all the way to production-grade, multi-agent systems.

If you want to understand not only what AI agents are, but how to architect, build, secure, evaluate and deploy them, AGENTIKA is built for you.

Start building AI agents that get things done.