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🚀 Here’s more on AgentCore, launched today: If AI agents are going to transform how we work and live, developers need the right set of tools to move them from prototype to production at scale. Today, I'm thrilled to announce Amazon Bedrock AgentCore, a comprehensive set of services to...

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Swami Sivasubramanian

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11,646 Aufrufe • vor 1 Jahr •via X (Twitter)

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🚀 Today we're announcing the first managed end-to-end payment capabilities for autonomous agents in preview in Amazon Bedrock AgentCore. Built with Coinbase and Stripe, so developers can focus on what their agents do, not on how they pay. The agentic economy is just getting started. Here's a first look at AgentCore payments ➡️
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🚀 Today we're announcing the first managed end-to-end payment capabilities for autonomous agents in preview in Amazon Bedrock AgentCore. Built with Coinbase and Stripe, so developers can focus on what their agents do, not on how they pay. The agentic economy is just getting started. Here's a first look at AgentCore payments ➡️

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We just raised a $75M Series B to *finally* automate AML/KYC with AI agents. KYC/AML software has been around for a long time. Bretton AI is different: - Autonomous browsing: agents hop between multiple tools to complete reviews without the need for a massive engineering lift for the bank - Long Horizon Agents: our agents complete iterative, complex reviews that take humans hours to complete - Bank-grade model risk management: built for regulators, internal audit and third-party reviews It's why companies like Robinhood, Lead Bank and Gusto use us to scale efficiently and deliver great customer experiences. Our Series B is led by Rajeev Dham and Sapphire Ventures , with participation from Greylock, Y Combinator, Thomson Reuters Ventures, Canvas Ventures and TIAA Ventures. 3 years ago, this company was just a dream. Now I get to work with 40 of the smartest, hardest working poeple I’ve ever met to solve big problems at the heart of finance. I'm pumped for the future! Now back to building.
1:18

We just raised a $75M Series B to *finally* automate AML/KYC with AI agents. KYC/AML software has been around for a long time. Bretton AI is different: - Autonomous browsing: agents hop between multiple tools to complete reviews without the need for a massive engineering lift for the bank - Long Horizon Agents: our agents complete iterative, complex reviews that take humans hours to complete - Bank-grade model risk management: built for regulators, internal audit and third-party reviews It's why companies like Robinhood, Lead Bank and Gusto use us to scale efficiently and deliver great customer experiences. Our Series B is led by Rajeev Dham and Sapphire Ventures , with participation from Greylock, Y Combinator, Thomson Reuters Ventures, Canvas Ventures and TIAA Ventures. 3 years ago, this company was just a dream. Now I get to work with 40 of the smartest, hardest working poeple I’ve ever met to solve big problems at the heart of finance. I'm pumped for the future! Now back to building.

Will Lawrence

93,716 Aufrufe • vor 5 Monaten

"Everyone will have a team of AI agents." Arvind (CEO Glean) and I had a great chat about how you can delegate work to AI agents now, even without knowing how to code. In my new episode, Arvind Jain reveals: • How to build AI agents for work today • Glean's secret to reaching $100M ARR in 3 years • 3 critical skills for building AI products Some quotes from Arvind: "We will all have this amazing team of agents around us who will handle most of our work because they understand who we are." "With enterprise AI, you can't just ship products and expect customers to adopt them. You need a collaborative go-to-market motion like this..." "With AI products, the ground is always shifting beneath your feet, so you need these three principles..." 📌 Watch now:
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"Everyone will have a team of AI agents." Arvind (CEO Glean) and I had a great chat about how you can delegate work to AI agents now, even without knowing how to code. In my new episode, Arvind Jain reveals: • How to build AI agents for work today • Glean's secret to reaching $100M ARR in 3 years • 3 critical skills for building AI products Some quotes from Arvind: "We will all have this amazing team of agents around us who will handle most of our work because they understand who we are." "With enterprise AI, you can't just ship products and expect customers to adopt them. You need a collaborative go-to-market motion like this..." "With AI products, the ground is always shifting beneath your feet, so you need these three principles..." 📌 Watch now:

Peter Yang

29,149 Aufrufe • vor 1 Jahr

We've all experienced how consumer AI can help in our personal lives, but that same experience hasn't been available at work. Most enterprise data is siloed, consumer AI can't access your work tools, and many orgs won't allow it due to security concerns. We built Amazon Quick Suite to solve those problems. It’s an agentic AI app that acts as your AI teammate at work – connecting to your business data and apps, and letting you interact with AI agents that can find insights, conduct research, and even take actions across your systems – with the security and privacy enterprises need. Quick works across your existing ecosystem, from emails to Salesforce to Slack to AWS services. You can create custom agents to draft content in your personal style, use Quick Research for in-depth analysis, or set up Quick Flow to automate tasks. And most importantly, your interactions never train the underlying models. We've been testing with Amazon employees and select customers and early results show just how transformational Quick is… cutting analysis time from months to days, and turning week-long tasks into minutes. This is an exciting moment and we're just getting started. Quick is available now, so have at it!
0:50

We've all experienced how consumer AI can help in our personal lives, but that same experience hasn't been available at work. Most enterprise data is siloed, consumer AI can't access your work tools, and many orgs won't allow it due to security concerns. We built Amazon Quick Suite to solve those problems. It’s an agentic AI app that acts as your AI teammate at work – connecting to your business data and apps, and letting you interact with AI agents that can find insights, conduct research, and even take actions across your systems – with the security and privacy enterprises need. Quick works across your existing ecosystem, from emails to Salesforce to Slack to AWS services. You can create custom agents to draft content in your personal style, use Quick Research for in-depth analysis, or set up Quick Flow to automate tasks. And most importantly, your interactions never train the underlying models. We've been testing with Amazon employees and select customers and early results show just how transformational Quick is… cutting analysis time from months to days, and turning week-long tasks into minutes. This is an exciting moment and we're just getting started. Quick is available now, so have at it!

Andy Jassy

48,762 Aufrufe • vor 9 Monaten

AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:
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AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:

DeepLearning.AI

23,255 Aufrufe • vor 1 Jahr

The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.
36:32

The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.

Alex (BCP)

20,791 Aufrufe • vor 2 Monaten