AI News and Blog Articles

Jul 16, 2026

Workato vs. Zapier for large businesses: Which is best? [2026]

Everyone has opinions about how to run a big meeting. Should the host run the show, or are participants free to jump in with questions or input when they feel like it? (And, if you're me, is this Zoom meeting even worthwhile unless it's just an excuse to meet everyone's dog on camera?) Enterprise automation is equally impacted by a business's approach to leadership and democratization. Every business owner has their own strong feelings about who should touch production systems. Workato and Zapi

Jul 16, 2026

Zapier vs. Gumloop: Which is best? [2026]

AI agents are everywhere right now, and platforms like Gumloop are betting that enterprises want tools built specifically to design, launch, and manage agents. But here's the question: do you need a specialized app for agentic workflows, or a platform that integrates agents more broadly into your existing business processes? Most enterprises already use dozens of tools across departments, including CRMs, project management software, HR platforms, and communication apps. The real challenge isn't

AI agent frameworks: Definition, comparison, and guide

Over the last year, I've seen a shift in how teams talk about AI. Chatbots, once the center of attention, are no longer the primary focus. Instead, more businesses are moving toward autonomous AI systems. AI agents are what you reach for when you want a system that can break down a task, make decisions, interact with tools, and learn from its mistakes (unlike me). Designing and integrating these complex systems with external tools isn't straightforward. AI agent frameworks, which offer pre-built

Built Technologies builds an AI-powered document intelligence solution on AWS to power agents across real estate finance

Built partnered with the AWS Generative AI Innovation Center (GenAIIC), AWS Partner AND Digital, and AWS account teams to create a scalable, AI-powered document processing engine that can classify, split, extract, evaluate, and reason over complex real estate finance documents. It reduces workflows that previously took days to minutes, supports hundreds of document types, and gives technical teams and industry experts a shared environment for building and improving document processors.

Agentic vision: Building visual intelligence with Amazon Bedrock and MCP servers

In this post, we walk you through the Computer Vision MCP Server, which illustrates this approach, representing how AI systems can process visual information and make intelligent decisions through a single, standardized interface. This convergence transforms what was once a complex integration challenge into a streamlined process, making AI capabilities accessible to a broader range of applications and developers.

Monitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards

In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure.

IDC: Why the right networking approach is foundational to agentic AI

Editor's note: Today we hear from IDC on the results of its 2026 AI in Networking Special Report Survey exploring the enterprises' concerns about networking infrastructure to support the rise of agentic AI in their organizations. The survey was sponsored by Google Cloud. Enterprises are moving quickly on AI pilots, but the move from pilot to production remains uneven. While AI models remain important, IDC research indicates that the pilot-to-production bottleneck is primarily infrastructure-centric, with core networking concerns emerging as one of the leading drivers of AI project delays and a

The 4 best read it later apps to save content in 2026

Sometimes, during the work day, I stumble upon a really interesting but really long article that I don't have time to read at the moment. This is the moment read-it-later apps are built for. The idea: you can save the article, then get back to it later when you have time. I don't know how I lived before finding these kinds of apps, which I've been using for around 15 years. For this roundup, I considered over 20 read it later apps. After extensive testing, I can say that these are the four best

84% of companies have AI pilots that never reach deployment. Here's what's keeping them locked in limbo.

Most companies don't have an AI ambition problem. If anything, it's the opposite. Give executives a new AI demo, and they'll find 47 potential use cases before lunch. Companies are spinning up pilots by the dozen, and that appetite is only growing. According to AI spending data, 86% of companies plan to increase their investment over the next 12 months. But deployment is a different story. More than a quarter of organizations (28%) have run over 100 AI pilots, yet only 13% have broadly deployed

The 8 best data integration tools in 2026

If you've ever had to hunt down an important email across one of your seven inboxes, you know the struggle of having information spread out between a bunch of unconnected systems. Ctrl+F can't save you when you aren't even sure where to start looking. Multiply that by hundreds of employees and dozens of systems, and things get real messy. Data integration tools take siloed data and un-silo it, uniting various data sources into a single master view. This means no more swapping between application

Multi-agent social intelligence with Strands Agents and Amazon Bedrock

This post shows how Thrad.ai deployed a multi-agent system with Strands Agents and Amazon Bedrock AgentCore that automates the pipeline from prospect discovery through personalized email generation. The post compares two orchestration patterns (Swarm and Graph) with head-to-head benchmarks on latency, cost, and email quality. You'll also learn how the system scores prospects using weighted criteria, intent classification, and temporal decay, plus governance controls for production deployment.

Google named a Leader in the 2026 IDC MarketScape for Worldwide Foundation Model Software

For years, we've built with a clear priority: putting the practical needs of the enterprise first. Long before generative AI dominated the headlines, we were focused on building the global infrastructure, security frameworks, and data platforms that power the world's largest organizations. We've always believed that technology is only as good as its reliability, security, and predictability in production. By anchoring our frontier research to this enterprise foundation, we can deliver models built specifically for business impact. We believe that approach is why Google has been named a Leader

Should I use Claude Code or n8n?

Should you build it with Claude Code or n8n? Five questions that let you answer for your own situation, from someone who uses both daily.

Scaling UX testing with Amazon Nova Act: A new approach to user flow analysis

Using generative AI enables parallel execution of comprehensive user flow testing at scale. This solution demonstrates how to build a cloud-deployed UX testing platform that automatically generates test scenarios from documentation, executes user flows at scale using the intelligent navigation capabilities of Nova Act, and provides actionable insights through automated analysis.

ScienceSoft's HIPAA-compliant AI voice scheduler built on AWS

In this post, you will learn how ScienceSoft, an Amazon Web Services (AWS) Services Partner, integrated Amazon Nova 2 Sonic with Amazon Bedrock Guardrails to build a Health Insurance Portability and Accountability Act (HIPAA)-compliant AI voice scheduler. You will see how the solution addresses healthcare scheduling challenges while maintaining privacy, compliance, and responsible AI standards, and how you can apply the same architecture to your own workflows.

Claude at scale on Google Cloud: Frontier AI, built for enterprise production

Running frontier AI in production is demanding - accelerators to manage, latency to hold steady across continents, regulated data to keep in-region, and long-context requests to serve reliably. Claude on Google Cloud is built for exactly this. Like Monet and water lilies, frontier models and the enterprise platforms are often better together. In our case, Claude brings the reasoning, and Google Cloud brings the managed infrastructure, global reach, and compliance posture that enterprises already run on. Calling Claude becomes operationally identical to calling any other Google Cloud service -

What is an AI agent?

When you think of AI agents, do you imagine a personal AI assistant like Tony Stark's Jarvis? Perhaps a calm-under-pressure TARS from Interstellar? Or, more on the scary spectrum, an amoral HAL 9000 straight out of 2001: A Space Odyssey? Current technology doesn't come close to that kind of science fiction (yet). But the field is evolving fast. What AI agents are capable of today looks nothing like it did even just a few months ago. Here's how AI agents actually work, what they can do right now

Meet the June 2026 Zappy Award monthly winners

This month's three Zappy Award winners are turning scattered company knowledge into shared context that AI and humans can actually use. The strongest June Zappy Award submissions had the same shape: shared context. AI can only help with work it can see. When customer history lives in someone's head, when policy hides in a stale doc, when product knowledge is scattered across videos, help articles, and slide decks, AI has to guess, and a guessing AI is an unreliable one. Eric McNulty at Mercari,

OpenAI models: Every model (including GPT-5.6) and what it's best for

Keeping track of all the new AI models getting released at the moment is practically a full-time job. The most recent model, GPT-5.6, was released less than three months after GPT 5.5, which itself was released two months after GPT-5.4. I've been writing about OpenAI's models for the past few years, and it feels like every time I publish an article, another new model drops. OpenAI is one of the worst offenders (or prolific innovators), and things aren't helped by how confusing all the OpenAI mod

Anthropic commits $10 million to Canadian AI research

Introducing Claude for Teachers

Building an agentic AI solution at Bluesight with Amazon Bedrock

In this post, we describe how Bluesight used two AWS engagements and Amazon Bedrock AgentCore to evolve from a single-product AI prototype to Prism, a unified agentic AI solution spanning six healthcare compliance products. Prism Assistant for ControlCheck launched in May 2026 and is already in use by 20 health systems. A more complex multi-product agentic solution is on track for later in 2026.

Implement on-behalf-of token exchange for multi-tenant agents with Amazon Bedrock AgentCore Gateway

Building multi-tenant agents with Amazon Bedrock AgentCore and Apply fine-grained access control with Bedrock AgentCore Gateway interceptors establish the conceptual foundation for on-behalf-of (OBO) token exchange in agentic systems. This post is the implementation guide. It walks through a complete multi-tenant OBO setup against Okta, shows the JSON Web Token (JWT) claim transformations on each hop, and demonstrates how audience binding produces defense in depth that scales across tenants.

Launching UI for generative AI inference recommendations in Amazon SageMaker AI

In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives you programmatic access to recommendations, but it assumes you know which parameters to set and how to interpret raw benchmark output. The UI removes that assumption. It guides you through preset use-case profiles, visual comparisons of results, and one-click deployment, so teams without deep infrastructure expertise can get a validated configuration on their own.

Securing the AI supply chain on GKE: Introducing k8s-aibom for automated AI BOMs

How should your security team manage shadow AI? Workloads deployed by developers without formal registration can often evade traditional security scanners, because organizations are reluctant to slow down development and compromise stability by demanding privileged Daemonsets, kernel-level access, and manual pod-spec edits. To break this deadlock, today we are open-sourcing k8s-aibom. This lightweight, unprivileged Kubernetes controller continuously monitors the cluster API and container environments to automatically detect running AI runtimes (like vLLM and Triton) and generate standard Cyclo

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Google DeepMind

Empowering India's next generation of innovators with ATL Saathi

Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.

Pipedream vs. Zapier: Which is best? [2026]

"Developer-friendly" sounds like a good thing, and for the most part it is. But there's also an unspoken subtext: "business-team-unfriendly." Automation tools that put developers first can offer greater flexibility and customization, but it often comes at the expense of usability for nontechnical users. If you're trying to scale AI and automation quickly across your organization, there's a real opportunity cost at play when only developers can build workflows and agents. Pipedream-which was acqu

Zapier vs. Power Automate: Which is best? [2026]

If your business uses Microsoft 365, you already have access to Power Automate. It's a capable automation platform that integrates deeply with Teams, SharePoint, Dynamics, and the rest of Microsoft's ecosystem. For Microsoft-to-Microsoft workflows, it's a smart place to start. But most enterprises have a substantial portion of their tech stack spread across multiple vendors. While Power Automate offers modest support for outside apps, Zapier works natively across whatever combination of apps you

Frontier and Center: Who evaluates the evaluations?

Editor's note: Some of the most interesting questions in AI are being asked by information theoreticians, around how to provide context to an emerging class of AI agents. A few weeks ago, we waded into those waters with a blog about the Open Knowledge Format, a specification that formalizes the LLM-wiki pattern into a portable, interoperable format to represent the metadata, context, and curated knowledge that modern AI systems need to operate. That blog generated a ton of interest, so we've decided to bring you more of the same, as part of our new "Frontier and Center" series. Today, we hear

Real-time dental image verification with Amazon SageMaker AI at Henry Schein One

This post describes how Henry Schein One closed that gap by building Image Verify, an AI-powered quality verification system on Amazon SageMaker AI that evaluates dental X-ray quality at the point of capture, in real time, across thousands of locations. The system went from concept to over 10,000 active locations within months and has already processed over 11 million X-rays and growing at 1.5 million per week. Henry Schein One is now scaling toward 40,000 locations globally across four regions.

Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

In this post we show how to build a semantic layer on AWS using Stardog's Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 questions across both sources without extract, transform, and load (ETL). The same Stardog deployment works behind AWS computes (Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), and AWS Lambda). We use AgentCore here because it bundles inbound auth, hosting, and tool credentials into one managed service

Scaling agentic workflows with native case management in Amazon Quick Automate

In this post, we show you how to combine case management with agentic automation capabilities in Quick Automate. We introduce case management and explore the lifecycle of cases in an agentic workflow from case creation through processing to resolution. We cover how to create and manage single or multiple cases, automatically track and update status, handle exceptions, and incorporate Human-in-the-loop (HITL) steps within workflows. We also show the case creator-processor pattern that enables dynamic scaling. Finally, we walk through how to structure case management for enterprise processes, in

Deploying quantized models on Amazon SageMaker AI with Unsloth

In this post, you will learn four deployment patterns for taking models that have already been quantized with Unsloth and deploying them on AWS infrastructure. The patterns use Amazon Elastic Compute Cloud (Amazon EC2) for direct instance access, Amazon SageMaker AI inference endpoints for managed serving, and Amazon Elastic Kubernetes Service (Amazon EKS) or Amazon Elastic Container Service (Amazon ECS) when inference needs to fit into an existing container framework. You also learn operational practices for production deployments.

How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore

Evolving from a traditional software as a service (SaaS) platform into a next-generation agentic AI platform meant orchestrating multiple specialized agents across long-running enterprise programs. Each agent operates with persistent context, secure tool access, and production-grade reliability. We built that system on Amazon Bedrock AgentCore using the Strands Agents SDK. This post walks through how we architected it, which agents we built, and the outcomes for our customers.

Compliance Automation Software: What To Evaluate

Compare compliance automation software, including features, trade-offs, and how to build flexible workflows with n8n on infrastructure you control.

Agent Identity, Reliable Execution, and Intent are only half-way solved

After spending the past couple of months looking at hundreds of tech docs from n8n, Google, Gumloop, and the rest, I tallied up 75 capabilities you'd expect an agent development tool to offer. But there are so many more things you can, need, or should do to agents

The best predictive analytics software in 2026

You could argue that pretty much all analytics are meant to be predictive. Isn't the point of analyzing past performance, on some level, to project future performance? (I guess you could just be nostalgic for the metrics underlying your favorite past fiscal quarter.) As a dedicated tool class, however, predictive analytics software helps analysts of all kinds see what past data says about the future. While tools like these can't tell you what will happen, they can tell you what massive amounts o

AI agents for marketing: What they are, benefits, and examples

I've always wanted a little robot helper of my own. Not the kind that automatically vacuums your floor and terrifies your dog. More like the one from Bicentennial Man (without the existential crisis and tears). That's what AI agents are: software teammates that can figure out and execute the steps needed to achieve a task-and talk to each other while they're at it. For marketers juggling campaigns, copy, and analytics across a dozen tools, AI agents for marketing are shifting how work gets done

The best Salesforce automation tools in 2026

My early days with Salesforce were a classic love-hate experience: loved its power, but resented the hours I lost to manual CSV juggling and frantic VLOOKUPs, always fearing a critical lead was gathering dust in some forgotten queue. Things really clicked when I stopped just using Salesforce and focused on making it work for me. It wasn't about some mythical magic button-those rarely exist in enterprise software. My goal was to pinpoint the real time sinks and systematically apply automation.

Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integration

In this post, we walk through five capabilities now available in SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hugging Face Hub, local NVMe model loading for faster cold starts, automated Route 53 DNS for custom domains, and pod-level IAM through custom service accounts.

Solve harder problems with AlphaEvolve, now available to everyone on Google Cloud

Many of the most challenging and valuable problems in the world are related to optimization. Now, AI is making these problems tractable. If you've ever tried to design a microchip, plan a delivery network, or optimize a training architecture for a large AI model, you know how hard it is to find the most optimized code. Traditional coding methods often cannot explore all the possible algorithms and implementations because the search space is simply too vast. To help, we introduced AlphaEvolve last year in private preview - an agent to help you design better algorithms on Google Cloud. What's ne

Building an AI-powered incident response workflow in n8n

Build an AI-powered incident response workflow with n8n. Combine RAG, threat intelligence, and historical incidents to accelerate SOC investigations.

How to automate ChatGPT (GPT-5.6 Sol, GPT-5.6 Terra, and more)

In a livestream on July 9, OpenAI rolled out the red carpet for not one but three new models: Sol, Terra, and Luna. These celestial models mark three tiers within the GPT-5.6 generation, each built to cut down on how often you have to re-explain your context in ChatGPT. All three are available on Zapier, so you can connect them securely to the other apps you already use in Zap workflows (what we call automations). Below, I'll share some of the most popular ChatGPT automations, plus templates you

The 6 best MuleSoft alternatives in 2026

My uncle bought himself some farmland and found a tractor guy. Not a general mechanic; a rural Einstein who has the knowledge, parts, and patience to service a tractor that predates the metric system. Every time that piece of metal makes a weird noise or just won't work right, it's off to the guy, where it will return (after a few weeks and a few hundred dollars later) good-as-new. MuleSoft is the tractor guy. It's a Salesforce-owned integration and API platform that's excellent for working with

The 6 best UiPath alternatives in 2026

My house was built in the '70s, but sometimes I swear that means the 1870s. Whenever I have a problem with the fixtures, I can't just hire a general electrician-I need someone who knows how to work around the archaic, nonsensical infrastructure that infects my home. Ideally, without ripping my entire house apart. My specialized electrician is basically what UiPath does for a company's tech stack. It's built to work around the ancient infrastructure-the mainframes, the Citrix environments, the d

The 6 best API integration platforms in 2026

APIs have changed the world for the better. I can check the weather without getting out of bed, or cheat on my diet when the urge for a delivered burrito is just too strong. For consumers like me, the story is pretty clean: an API connects the dots, data transfers, something happens, and life gets a little easier. The enterprise side is a little messier. You probably have dozens of SaaS tools in your tech stack, each with its own data model and authentication quirks. Getting them all to play nic

Introducing Claude apps gateway for AWS

Today, we're announcing the Claude apps gateway for AWS, a self-hosted control plane that gives organizations a single point of control over access, cost, and policy for Claude Code and Claude Desktop. In this post, we show how to set up and run Claude apps gateway for AWS with Amazon Bedrock and Claude Platform on AWS.

Building and connecting a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio

In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy with AWS Cloud Development Kit (AWS CDK), and connect the result to Mistral AI's Vibe. The post also covers prerequisites, solution architecture, best practices for MCP servers and Vibe connectors, and resource cleanup. The ecommerce server that you build supports product search, order placement, review submission, and returns processing using Amazon DynamoDB for data and Amazon Cognito for identity management.

Securing Amazon Bedrock AgentCore Runtime with AWS WAF

This post shows you two architecture patterns that address this problem. Both use an internet-facing ALB with AWS WAF and route traffic through a VPC Interface Endpoint to AgentCore Runtime. Pattern 1 places an AWS Lambda proxy between the ALB and the VPC Endpoint, giving you full control over request transformation. Pattern 2 targets the VPC Endpoint ENI IP addresses directly from the ALB, removing the Lambda hop entirely. You also learn how to close the direct-access backdoor with a resource policy so that traffic flows through AWS WAF only. Both patterns have been tested end-to-end with Sig

Zapier vs. ChatGPT: When to use each (or both) [2026]

Comparing ChatGPT and Zapier might seem like comparing AI apples to automated oranges. But over the last couple of years, both platforms have picked up new agentic AI features, and now they share a lot of capabilities-and they combine into a delightful AI automation fruit juice. I've been using both tools every day for over three years, so I'm very keyed into the differences between the two, where each one shines, and how to run them together in ways that cut your token spend and make it safer f

A look inside my vibe coding portfolio

If you'd asked me a year ago whether I could turn my barely-there coding knowledge into fully functional apps, internal tools, and custom widgets without hiring a developer, I would've smiled politely and quietly choked on my LaCroix. But since early 2025, I've been vibe coding my way to actual tools. The code is minimal, the confidence is unearned, and the results are surprisingly functional. Here, I'll show you the apps I built, the tools I used to build them, and how they actually work-in the

Vibe CodingRead Summary

The 9 best email apps to manage your inbox in 2026

The past few years have shown that email isn't going anywhere, no matter how much your workplace uses Slack, Teams, and other remote work tools-and AI isn't coming to save us. In fact, email apps seem to have gotten better. What were once niche features you had to pay for, like scheduling emails to send later or turning them into reminders in your inbox, are now available in almost every email app, even the default ones and web apps. And that's before you even consider all the new AI-powered fea

Paragon vs. Zapier: Which is best for your business? [2026]

In the 1999 cult classic Office Space, three employees take an error-prone office printer outside and smash it to pieces with a bat. I can relate. My last printer-may it rest in pieces-was so unreliable that I occasionally drove to the print shop to avoid dealing with its endless excuses. Its go-to error was the classic "nonexistent paper jam," but occasionally, to mix things up, it sent me on a wild goose chase to find a new device driver, or refused to print black-and-white documents due to a

Data modeling best practices for Amazon Quick Sight multi-dataset relationships

Today, we are excited to announce Multi-Dataset Relationships in Amazon Quick Sight. This new capability lets you define logical relationships between Quick Sight datasets and perform runtime joins at query time. Instead of flattening tables ahead of time, you keep each table as its own Quick Sight dataset and declare how those datasets relate to one another inside a Quick Sight Topic.

Build a serverless image editing agent with Amazon Bedrock AgentCore harness

This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The agent runs on AgentCore harness without custom orchestration code. We deploy the full solution, including authentication, encrypted storage, three image editing tools, and a React frontend, with a single deployment command. The infrastructure is defined using AWS Cloud Development Kit (AWS CDK).

Monitoring discriminative ML models using Amazon SageMaker AI with MLflow

Implementing a data and model monitoring solution is necessary to maintain prediction accuracy and help achieve the best outcome for your machine learning use case. This post shows how you can use open source Evidently together with Amazon SageMaker AI to generate monitoring reports, organize and compare the results in MLflow, scale through pipelines, and trigger drift notifications.

Build an AI-powered AWS support companion with Amazon Bedrock AgentCore

In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through the Model Context Protocol (MCP). By the end, you have a working agent that can analyze CloudWatch logs, search AWS documentation, query community knowledge from AWS re:Post, and create support cases, all from a single conversational interface. The solution deploys with a single script using AWS CloudFormation and includes a web frontend built on AWS Amplify for interacting with the agent.

Report: 83% of organizations need to upgrade their infrastructure to support agentic AI

For years, enterprise AI has been synonymous with conversational AI - the customer service bots and digital assistants we interact with every day. But today, the market has shifted. We've officially moved from moving from AI that answers through simple chats, to AI that takes action, automated workflows, and executes complex tasks on its own. While this unlocks entirely new use cases, there's a catch: it places significant stress on the underlying infrastructure we've relied on in the past. We recently surveyed more than 1,400 senior IT leaders for our State of AI Infrastructure report, and a

20 questions for the Agentic Enterprise (and how Agent Platform can help)

If you're an IT leader, you might be getting a lot of questions about how to build and deploy agents. The pressure to move fast is intense, but the engineering reality is incredibly complex. Where do your teams even begin? How do you untangle a fragmented mess of disconnected tools? And as things grow, how do you ensure your agents don't accidentally leak sensitive data, or burn through your token budget in an afternoon? It's a lot to balance, and trying to establish a secure foundation for an entire organization can quickly feel overwhelming. That's why we built Gemini Enterprise Agent Platfo

A developer's guide to publishing agents in Gemini Enterprise and Google Cloud Marketplace

Software-as-a-service (SaaS) is evolving into Agents-as-a-service (AaaS). Instead of isolated applications, developers are creating AI agents that interoperate using standardized open protocols such as the Agent2Agent (A2A) protocol and can be orchestrated through centralized agent platforms like Gemini Enterprise Agent Platform. When building for your specific use case, we believe the goal should always be to engineer high-quality agents that combine autonomy with the ability to reliably execute complex, multi-step workflows that deliver clear business value. For agent builders and developers

Drive proactive security, prioritize risks with Google Threat Intelligence and Wiz ASM

Being more proactive continues to be a leading goal for security organizations. As AI accelerates the pace of vulnerability discovery and exploitation, organizations will rely on the personalization of their security investments to help prioritize their defenses. To help you be more proactive by matching your real-world exposures with real-time adversary activity, we've begun integration efforts between Google Threat Intelligence and Wiz Attack Surface Management (ASM). By connecting exposure and validated exploitable risks directly to real-time threat intelligence, we can help you detect and

AI Security Monitoring: Risks, Detection, and Automated Response

Learn how AI security monitoring works from both sides. Discover the unique AI risks and the strategies engineers use to automate detection and response.

Fix Agent Failures With Context Engineering for LLMs

Context engineering for LLMs goes beyond prompt design. Learn how to manage context rot, budget tokens, and build reliable production AI agents with n8n.

AI Agent Memory: Types, Storage, and How To Implement It

Learn how AI agent memory works, from in-context buffers to vector stores. Discover how to build persistent memory into real-world agent workflows at scale.

Zoom vs. Teams: Which is best? [2026]

Microsoft Teams and Zoom are both excellent video conferencing and collaboration apps, and over the last few years, Zoom has added all sorts of all-in-one features that make the Zoom vs. Teams comparison more relevant than ever. I've used both apps a lot in the past, and to write this guide, I spent more time diving deep into each of these tools and exploring all their features to pull out the most important differences that still exist between them. Based on my past experiences of using these

What is ambient AI?

Chatbots keep getting smarter, but they're creating a new kind of busywork. Even if they simplify an entire workflow, you still have to open an app, start a new chat, and get to the objective prompt-by-prompt. If you're the one doing the repetitive work, who's actually the copilot in this equation? Ambient AI puts you back into the pilot seat. It sits in the background, reads your context, and acts when needed, not when you call it. Here's how to stop defaulting to chatbots that give you more wo

What is a token in AI?

Understanding what tokens in AI are matters more now than it did even a year ago. Tokens have gone from a background technical detail to the primary usage limit and billing unit for top AI models. If you've ever hit your usage limit with Claude Code, you've hit a token limit. If you've ever wondered why switching to a reasoning model burned through your quota faster, that's tokens, too. How AI models read your input, generate a response, think through hard problems, and rack up costs-it all com

The 7 best database-powered app builders in 2026

Spreadsheets are fantastic. You can put together an accounting system, a task manager, or an inventory tracker with columns, rows, and formulas-all without slamming into a wall of code at any point. But there's a cap to how much you can achieve with spreadsheets alone. If you want to view, manipulate, and understand your data better, you want a database tool. Not all databases are flexible and easy to use, though, which is why I rounded up the ones that are right on the money: a perfect blend of

Introducing Muse Image and Muse Video

Teaching models to forget: Selective unlearning with Amazon Nova

In this post, we introduce Reverse Direct Preference Optimization (rDPO), the novel unlearning technique behind Amazon Nova Customizable Content Moderation Settings (CCMS), and show how it reduces over-deflection while preserving model quality. We also provide pointers for customers who want to apply these preference optimization techniques to their own experiments.

34% of people shipping software using AI tools have no formal programming background

AI was impressive enough when skilled developers could use ChatGPT to troubleshoot code. But now, the tech has evolved to the point that workers with no programming background can use AI to build apps from scratch, refine them, and ship them, all in a matter of days or even hours. Some folks call it vibe coding, but that undersells what's actually happening. There's a lot more than vibes behind these projects. The vibey part comes from how easy it is for someone to describe what they want to cr

Vibe CodingRead Summary

Run MiniMax models on Amazon Bedrock

In this post, we walk through how to get started with MiniMax models on Amazon Bedrock, including the capabilities supported by these models, the service tiers available, how on-demand inference scales to handle your workloads, and the different APIs you can use to access them. Using these models, customers can build agentic applications, long-context document analysis pipelines, and software engineering workflows, all backed by the security and operational guarantees of AWS.

Deploying Multi-Turn RL Infrastructure for Amazon Nova on Amazon SageMaker HyperPod

In this post, you deploy a two-phase infrastructure for multi-turn RL using Amazon Nova Forge on Amazon SageMaker HyperPod. By the end, you have an event-driven pipeline that starts training when you upload data to Amazon Simple Storage Service (Amazon S3). The training job teaches the model to play Wordle, a placeholder for your own RL task.

Automatically redact PII in images with Amazon Nova

In this post, we present a multi-step pipeline directed by Amazon Nova, which uses its contextual vision reasoning to coordinate complementary tools, including Meta's open-source Segment Anything Model (SAM 3) deployed on Amazon SageMaker AI for pixel-level segmentation, and Amazon Textract for optical character recognition (OCR). This pipeline is designed to provide comprehensive and compliant PII redaction even for challenging edge cases such as fingerprints, ID cards, or license plates in arbitrary orientations.

Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI

In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatically stream experiment data into a unified tracking interface. This integration streams metrics, parameters, and charts into your serverless Amazon SageMaker MLflow App in real time and you get a unified experiment tracking experience.

Shift into high gear with agents: Securing the software-defined vehicle

The automotive industry is at a pivotal crossroads as it hits the gas on adopting new technology. The era of the traditional connected vehicle has shifted into the age of the software-defined vehicle (SDV), notable for rapid innovation with many new capabilities delivered over the air. By integrating AI and agents, the next generation of SDVs will be capable of turning raw telemetry into actionable insights in real-time, allowing for a fundamental rethink of how vehicles interact with their environment and their users. To better support and secure SDVs, Google Cloud and Valtech have partnered

Jasper vs. ChatGPT: Which is better? [2026]

At first glance, Jasper and ChatGPT seem similar-they're both generative AI tools that can create content in a split second. But there's a big difference here: ChatGPT is an AI chatbot that's flexible enough to handle just about any task you throw at it, while Jasper is a specialized AI marketing tool. I've spent countless hours using both apps in my personal and professional life. For example, I used Jasper to help me scale content production for my previously niche website. And I've been usin

MarketingRead Summary

The 16 best marketing newsletters in 2026

With new technologies like AI revolutionizing the way we approach marketing, the landscape is becoming increasingly more complex-and it feels like it's shifting every day. To stay up to date with the latest trends, I've become something of a marketing newsletter hoarder. To my own detriment, I've subscribed to more marketing newsletters than I can possibly read each day. And it doesn't help that I'm constantly leveraging X, Reddit, and LinkedIn for other people's recommendations. But my bad hab

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Government of Alberta uses Claude to find and fix cybersecurity vulnerabilities across government systems

Jul 5, 2026

The 6 best Microsoft Power Automate alternatives in 2026

My dad still uses Internet Explorer. Not because he thinks it's the best browser-if you pressed him, he'd struggle to explain the difference between a browser and a search engine-but because it was already there when he bought his first computer, and nothing has ever gone wrong enough to make him switch. That's how a lot of teams end up with Microsoft Power Automate. It's bundled into Microsoft 365, it works, and switching feels like a project. So you stay. Even if the connectors are spotty outs

Architectural Guide To Error Handling for LLM Tool Calling

This guide to LLM tool calling error handling covers how to classify failures, implement smart retries, design fallbacks, and wire circuit breakers.

The 11 best CRMs for small business in 2026

As a small business, you're no longer in the early days of figuring out how things work. You have a good client base, your metrics are solid, and now you're looking to scale. To do that, you need CRM software that's not too basic but not too expensive, a blend of useful features and competitive pricing. Efficiency is the name of the game. I know you didn't start a business to shop around for the perfect apps to help you grow. I'm taking some of the load off: I rounded up over 140 apps on the mar

How to conduct an AI agent security audit

My friend once raved about an AI tool he used for meeting summaries-until I asked what the tool had access to. It was only then that he realized he'd never actually looked into it. For all he knew, his AI tool could've had access to customer profiles with personally identifiable information (PII). You never know how low-stakes a tool truly is until you've investigated its connections and mapped out what it does with those connections. Here's how to conduct a security audit of your AI agent work

What is a multi-agent system? A complete guide

Hot take: I really liked the "Stranger Things" finale. Yeah, the final fight was formulaic, but I love a good boss fight. Everyone has a specialty, and they all contribute to the win. That's how high-performing teams work everywhere, whether it's a psychic, demon-fighting group of teenagers or an automation system. AI agents can do a lot on their own, but organized into a multi-agent system, they can specialize, share information, and delegate. Like Dustin and Steve, they're better together. In

Acquisitions & M&ARead Summary

Types of AI agents: A comprehensive guide

My whole life, I've held onto a few key metrics of wealth and success: the ability to effortlessly purchase a wheel of fancy cheese, owning a detailed and historically accurate dollhouse, and hiring someone to manage my schedule and decade-old inboxes. AI agents can't do the first two, but they can definitely handle the last one-and that's just one of the simpler tasks they can take on. AI agents can follow rules, remember context, make choices toward a goal, and (in some cases) improve over tim

The best large language models (LLMs) in 2026

Large language models (LLMs) are what most people think of when they think of AI. They're what you're interacting with in ChatGPT and Claude, they write the code generated by Claude Code and Codex, and they power other AI features like Google's AI answers and Apple Intelligence. If something has a chatbot, some kind of text generator or text summarization built in, or writes code or automates your computer, it almost certainly uses an LLM. LLMs have been studied in research labs since the late 2

The 5 best free keyword research tools in 2026

There's no shortage of tools purpose-built for keyword research (literally hundreds of them), and they run the gamut from beginner-focused to highly advanced. They also range from totally basic and unhelpful to super valuable. When done right, the best keyword research tools simplify and streamline your workflow-they make it easier to find the right keywords to target and give you the data you need to actually rank for them. But they shouldn't require you to empty out your bank account and sell

The 6 best autonomous AI CRM tools in 2026

My very first CRM was a DOS-based system I was forced to use in 2009. Which, just to be clear, was well after the invention of the iPhone, streaming services, and functioning graphical user interfaces. It didn't integrate with anything, it didn't suggest or automate a single thing, and if it had any "intelligence," it was the kind that treated the tab key as a threat to its authority. I've seen the CRM evolution-from command lines and black screens to the sleek, AI-infused platforms of today tha

Power Automate vs. UiPath: Which is best? [2026]

Power Automate and UiPath overlap just enough to look like rivals, but they're built for very different kinds of work. One is designed to slot neatly into the Microsoft ecosystem and help teams automate everyday processes. The other is built for heavier, more complex automation-especially when things start getting messy. So the useful question isn't "which one is better?" It's "which one fits the way your business actually runs?"-and, as I'll get to, whether a third option fits it better than ei

What is UiPath?

Every company has a stack of work nobody wants to claim: copying data between systems, re-keying invoices, and logging into five different tools to move a single record from A to B. It's the kind of work that gets called "quick" by whoever isn't doing it. UiPath is built for the heaviest end of this kind of work-large-scale, rules-heavy processes inside complex business systems. It's serious software for serious enterprise problems and it does what it does well. But if your workflows live mostly

The 8 best cold email software options in 2026

As a serial email deleter, I know how hard it is to get people to open a cold email. But I've also had the unique privilege (yes, I'm calling it a privilege) of being a sender of cold emails. I know that personalizing hundreds of emails, scheduling sequences, and replying to leads that bite takes time-so much time that doing it manually is impossible once you have a sizable prospect list. Cold email software speeds up and optimizes your outreach. If you're looking to try out a cold email app a

How Amazon Bedrock catches AI-generated phishing

Social engineering through phishing remains one of the most common tactics for launching cyberattacks. AI-generated phishing email messages now pose a new challenge for security teams managing email systems, significantly raising the risk because of their advanced sophistication. Modern social engineers use generative AI and open source intelligence (OSINT) to craft thousands of unique messages [...]

Best practices for multi-turn reinforcement learning in Amazon SageMaker AI

In this post, we share best practices for reliable multi-turn RL training. We cover how to build a training environment you can trust, set up an external evaluation, design a reward aligned with the end task, manage what changes once the agent runs for multiple turns, and monitor the metrics that tell you when to iterate.

How to automate Claude safely with Zapier MCP

I've been playing this game at coffee shops where every time I overhear somebody say they're "building with AI," I take a sip of my cold brew. Suffice it to say, I'm staying caffeinated (and staying up at night). Your IT admins may be losing sleep too, if everyone's handing AI tools like Claude access to their work apps, giving it more chances to do something it shouldn't. You can prevent these mishaps with Zapier MCP, which connects Claude to your tech stack with governance built in. That way,