Claims Browser

AI agents are on the rise.

"The rise of AI agents"

The book 'AI Agents in Action' has been updated with a second edition.

"New! Updated! 2nd Edition!"

The main topics in agentic AI engineering include reasoning loops, core components, system prompt and tool design, and building single- and multi-agent systems in Python.

"Main Topics: • How autonomous systems differ from automation • Reasoning loops and core components • Designing system prompts and tools • Building single- and multi-agent systems in Python"

Agentic AI engineering is about designing, building, and prompting LLM-based agents for systems that reason and act autonomously and are ready for real-world deployment.

"Agentic AI Engineering for Systems that Reason and Act Autonomously – Design, Build, and Prompt LLM-Based Agents for Real-World Deployment"

The guide includes case study blueprints with before and after numbers to present ROI clearly and secure buy-in fast.

"🚀Case study blueprints with before and after numbers so you will learn to present ROI clearly and secure buy in fast"

The guide provides deployment playbooks with error handling for moving from staging to production with rollbacks, alerts, and audit trails.

"🚀Deployment playbooks with error handling so you will learn to move from staging to production with rollbacks alerts and audit trails"

The guide includes an evaluation harness tied to business KPIs to measure accuracy, reliability, and cost under real load.

"🚀Evaluation harness tied to business KPIs so you will learn to measure accuracy reliability and cost under real load"

The guide offers a model selection and routing rubric to hit service level objectives (SLOs) while reducing spend without sacrificing quality.

"🚀Model selection and routing rubric so you will learn to hit SLOs while reducing spend without sacrificing quality"

The guide provides security guardrails and red teaming methods to resist prompt injection, data leakage, and risky code execution.

"🚀Security guardrails and red teaming methods so you will learn to resist prompt injection data leakage and risky code execution"

The guide designs memory systems for short-term, episodic, semantic, and long-term memory to stabilize long context OCR and multi-file workflows.

"🚀Memory designs for short term episodic semantic and long term so you will learn to stabilize long context OCR and multi file workflows"

The guide includes perception-reasoning-action loop diagnostics for cutting latency and cost while fixing failures at the right step.

"🚀Perception reasoning action loop diagnostics so you will learn to cut latency and cost while fixing failures at the right step"

The guide covers modular architecture patterns that allow safe component replacement and scaling without regressions.

"🚀Modular architecture patterns so you will learn to replace components safely and scale without regressions"

The guide provides a precise definition of AI agents across academia, industry, and startups, enabling stakeholders to align quickly and prevent scope creep.

"🚀A precise definition of AI agents across academia industry and startups so you will learn to align stakeholders quickly and prevent scope creep"

LLM-powered NetOps workflows can be designed using Python, Ollama, MCP, and tool calling to build AI agents for network operations.

"Build AI Agents for Network Operations — Design LLM-powered NetOps workflows with Python, Ollama, MCP, and tool calling"

It is possible to engineer a Python-based agentic AI framework with tool use, memory, and multi-agent workflows using MCP and A2A.

"Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows"

Building Claude Skills turns repeatable work into reusable skills

"Building Claude Skills — Turn repeatable work into reusable skills: https://t.co/gHq1nNQhLt"

Agentic AI can be used in cybersecurity to build autonomous defenders and adversaries.

"Agentic AI for Cybersecurity — Building Autonomous Defenders and Adversaries: https://t.co/e6XEu08kXV https://t.co/lkubMLYFG7"

AI-driven agents can be used to build and automate penetration testing workflows for offensive cybersecurity

"Build and Automate Smarter Penetration Testing Workflows using AI-driven Agents"