Agentic AI

108 articles

Aug 20, 2026

OpenAI's Browser-Control Push Makes Agentic AI a Permissions Problem

OpenAI's computer-use push turns browser control into a permissions, identity, and audit problem instead of a simple chatbot feature.

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Ledger's Agent Stack Is a Warning That Autonomous AI Needs Financial Seatbelts

Agentic AI

Jul 16, 2026

Ledger's Agent Stack Is a Warning That Autonomous AI Needs Financial Seatbelts

Ledger's hardware-backed Agent Stack points to a coming era where AI agents need permissioning, identity, and transaction controls before they can act.

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Amazon Nova 2 Sonic Turns Healthcare Appointment Calls Into a Real Workflow

Agentic AI

Jun 25, 2026

Amazon Nova 2 Sonic Turns Healthcare Appointment Calls Into a Real Workflow

Amazon Nova 2 Sonic and Bedrock AgentCore are pushing voice AI past demo land and into the messy, high-stakes world of appointment management.

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Why Telecom Is Becoming AI’s First Autonomous Operations Lab

Agentic AI

Jun 25, 2026

Why Telecom Is Becoming AI’s First Autonomous Operations Lab

NVIDIA’s telecom AI push is a sign that network operators are moving from task automation to systems that can reason, route, and recover in real time.

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Anthropic's Stainless Deal Puts the Agent Connectivity Layer in Play

Agentic AI

Jun 2, 2026

Anthropic's Stainless Deal Puts the Agent Connectivity Layer in Play

Anthropic's acquisition of Stainless puts SDK generation and MCP server tooling closer to Claude's agent platform strategy.

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Confidential AI Is Becoming the Missing Security Layer for Agents That Handle Secrets

Agentic AI

May 19, 2026

Confidential AI Is Becoming the Missing Security Layer for Agents That Handle Secrets

A new confidential computing survey explains why agentic AI needs hardware-rooted trust when agents hold memory, credentials, and sensitive context.

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Anthropic Buying Stainless Shows the Agent Race Is Becoming an API Race

Agentic AI

May 19, 2026

Anthropic Buying Stainless Shows the Agent Race Is Becoming an API Race

Anthropic acquired Stainless to deepen Claude SDKs, CLIs, and MCP server tooling as agents become useful through connected systems.

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Anthropic's Finance Agents Put Claude Directly Into Wall Street's Workflow Problem

Agentic AI

May 12, 2026

Anthropic's Finance Agents Put Claude Directly Into Wall Street's Workflow Problem

Anthropic's financial services agent push shows banks want AI inside controlled workflows, not just chat windows.

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Agentic AI

Feb 3, 2026

From Chatbots to Coworkers: How Agentic AI Is Quietly Eating White-Collar Work

Discover how AI is evolving from simple chat interfaces to autonomous agents that act as coworkers. This guide explains agentic workflows, realistic use cases in support and research, and how your team can start small with AI agents.

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Building Your First AI Agent That Touches Production Safely

Agentic AI

Feb 3, 2026

Building Your First AI Agent That Touches Production Safely

Taking your first AI agent from a prototype to a production environment is a major milestone. Learn the step-by-step process of defining tasks, designing tools, and setting the rigorous guardrails needed for safe deployment.

Agentic AI

OpenAI's Browser-Control Push Makes Agentic AI a Permissions Problem

Ledger's Agent Stack Is a Warning That Autonomous AI Needs Financial Seatbelts

Amazon Nova 2 Sonic Turns Healthcare Appointment Calls Into a Real Workflow

Why Telecom Is Becoming AI’s First Autonomous Operations Lab

Anthropic's Stainless Deal Puts the Agent Connectivity Layer in Play

Confidential AI Is Becoming the Missing Security Layer for Agents That Handle Secrets

Anthropic Buying Stainless Shows the Agent Race Is Becoming an API Race

Anthropic's Finance Agents Put Claude Directly Into Wall Street's Workflow Problem

From Chatbots to Coworkers: How Agentic AI Is Quietly Eating White-Collar Work

Building Your First AI Agent That Touches Production Safely

Final Capstone: The Autonomous Market Analyst

Module 1 Lesson 1: What Agentic AI Is

Module 1 Lesson 2: Agents vs Chatbots

Module 1 Lesson 3: Reasoning, Planning, and Acting

Module 1 Lesson 4: Deterministic vs Non-Deterministic Systems

Module 1 Lesson 5: When You Should Not Use Agents

Module 1 Lesson 6: Real-World Agent Use Cases

Module 1 Wrap-up: Your First Agentic Decision

Module 10 Lesson 1: What ADK Solves

Module 10 Lesson 2: Agent Lifecycle Management

Module 10 Lesson 3: Configuration-Driven Agents

Module 10 Lesson 4: Policy and Guardrails

Module 10 Lesson 5: Enterprise Integration

Module 10 Wrap-up: Scaling with Governance

Module 11 Lesson 1: Side-by-Side Comparison

Module 11 Lesson 2: When to use LangChain

Module 11 Lesson 3: When to use LangGraph

Module 11 Lesson 4: When to use CrewAI

Module 11 Lesson 5: Mixing Frameworks

Module 11 Wrap-up: The Strategic Selection

Module 12 Lesson 1: Why Agents Hallucinate

Module 12 Lesson 2: Prompt Engineering for Accuracy

Module 12 Lesson 3: Output Parsing and Validation

Module 12 Lesson 4: Self-Correction Loops

Module 12 Lesson 5: Benchmarking Agent Performance

Module 12 Wrap-up: Engineering for 99% Accuracy

Module 13 Lesson 1: Prompt Injection Attacks

Module 13 Lesson 2: Data Privacy and PII

Module 13 Lesson 3: Sovereignty and Local Models

Module 13 Lesson 4: Rate Limiting and Cost Guards

Module 13 Lesson 5: Compliance and Ethics

Module 13 Wrap-up: The Secure Perimeter

Module 14 Lesson 1: The Reliability Gap

Module 14 Lesson 2: Finite State Machines (FSMs)

Module 14 Lesson 3: Using LLMs as State Transitions

Module 14 Lesson 4: Constraining Output with Outlines

Module 14 Lesson 5: FSMs in Customer Service

Module 14 Wrap-up: The Sovereign Architect

Module 15 Lesson 1: Vector Databases for Agents

Module 15 Lesson 2: Semantic Caching

Module 15 Lesson 3: Monitoring and Logs

Module 15 Lesson 4: Scaling Agent Concurrency

Module 15 Lesson 5: CI/CD for Agents

Module 15 Wrap-up: Engineering for the Millions

Module 16 Lesson 1: The Chat Box is Not Enough

Module 16 Lesson 2: Generative UI

Module 16 Lesson 3: Streaming Intermediate Steps

Module 16 Lesson 4: Designing for Long Latency

Module 16 Lesson 5: Multi-Modal Agents

Module 16 Wrap-up: The Experience Engineer

Module 2 Lesson 1: Agent Components

Module 2 Lesson 2: Agent State

Module 2 Lesson 3: Short-Term vs Long-Term Memory

Module 2 Lesson 4: Tool Invocation Basics

Module 2 Lesson 5: Feedback Loops

Module 2 Wrap-up: Your First Minimal Agent

Module 3 Lesson 1: The ReAct Pattern

Module 3 Lesson 2: The Planner–Executor Pattern

Module 3 Lesson 3: The Supervisor Pattern

Module 3 Lesson 4: The Critic and Validator Pattern

Module 3 Lesson 5: Human-in-the-Loop Pattern

Module 3 Wrap-up: The Strategic Architect

Module 4 Lesson 1: Agents in LangChain

Module 4 Lesson 2: Tool Definitions

Module 4 Lesson 3: Agent Executors

Module 4 Lesson 4: Memory Integration

Module 4 Lesson 5: Agent Failure Modes

Module 4 Lesson 6: Cost and Loop Control

Module 4 Wrap-up: Your First LangChain Agent