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Agentomorphizing is treating AI agents like smart humans. And it might be the simplest way to get better results from your agents right now. When an agent underperforms, ask what a smart person would have needed to succeed with the same instructions. Our CTO Ben Kus explains why in...

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Box

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86,031 次观看 • 1 个月前 •via X (Twitter)

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In our latest AI Explainer episode, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus, tackle beliefs holding enterprises back today. They dive into: • Model Hosting: Why "hosting it yourself" isn't the only path to enterprise-grade security. • The Reality of AI Tricking: A look at prompt injection and the "action guardrails" needed to protect your agents. • The "Clean Data" Fallacy: Why you don't need perfect data to start. • Determinism vs. Utility: Understanding why the "unpredictability" of LLMs is a feature for reasoning tasks. • Training vs. RAG: Why the models of today rarely need custom training sets.
2:05

In our latest AI Explainer episode, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus, tackle beliefs holding enterprises back today. They dive into: • Model Hosting: Why "hosting it yourself" isn't the only path to enterprise-grade security. • The Reality of AI Tricking: A look at prompt injection and the "action guardrails" needed to protect your agents. • The "Clean Data" Fallacy: Why you don't need perfect data to start. • Determinism vs. Utility: Understanding why the "unpredictability" of LLMs is a feature for reasoning tasks. • Training vs. RAG: Why the models of today rarely need custom training sets.

Box

460,230 次观看 • 4 个月前

“Enterprises should probably never train an AI model.” In this episode of our AI Explainer Series, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus explain the challenges enterprises will face with training a model, and then explore why the smarter path is a combination of AI agents + RAG. Timestamps: 1:07 Reasons why enterprises shouldn't train a model 1:24 What it means to train a model 2:36 Explaining the concept of fine-tuning 4:50 Privacy challenges: AI doesn't keep secrets 6:40 What can enterprises do? 9:48 How enterprises can choose the right path
11:25

“Enterprises should probably never train an AI model.” In this episode of our AI Explainer Series, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus explain the challenges enterprises will face with training a model, and then explore why the smarter path is a combination of AI agents + RAG. Timestamps: 1:07 Reasons why enterprises shouldn't train a model 1:24 What it means to train a model 2:36 Explaining the concept of fine-tuning 4:50 Privacy challenges: AI doesn't keep secrets 6:40 What can enterprises do? 9:48 How enterprises can choose the right path

Box

354,042 次观看 • 7 个月前

The real power of AI agents is collaboration. Box CTO Ben Kus joins LangChain CEO Harrison Chase to discuss what the future looks like when AI systems can work more like teammates than just assistants. Timestamps: 00:52 - Harrison's path to starting LangChain 01:54 - The different definitions of AI agents 03:16 - How agentic systems differ from traditional automation 06:20 - The evolution of AI agents 13:06 - The impact of deep research 17:22 - Deep agent capabilities and benefits 22:16 - How to recognize different modes 25:25 - The future of evaluation
31:11

The real power of AI agents is collaboration. Box CTO Ben Kus joins LangChain CEO Harrison Chase to discuss what the future looks like when AI systems can work more like teammates than just assistants. Timestamps: 00:52 - Harrison's path to starting LangChain 01:54 - The different definitions of AI agents 03:16 - How agentic systems differ from traditional automation 06:20 - The evolution of AI agents 13:06 - The impact of deep research 17:22 - Deep agent capabilities and benefits 22:16 - How to recognize different modes 25:25 - The future of evaluation

Box

54,980 次观看 • 8 个月前

Box CTO Ben Kus and Meena Ganesh, Sr. Product Marketing Manager of AI discuss reasoning models, and how they represent the nextstep in the AI evolution in episode 6 of the Box AI Explainer Series. Watch now 👇
7:24

Box CTO Ben Kus and Meena Ganesh, Sr. Product Marketing Manager of AI discuss reasoning models, and how they represent the nextstep in the AI evolution in episode 6 of the Box AI Explainer Series. Watch now 👇

Box

615,313 次观看 • 1 年前

In our latest partner podcast episode, Ben Kus, CTO of Box, sat down with Ankur Goyal, CEO of Braintrust, to explore how organizations can effectively evaluate, test, and deploy AI agents at scale. Timestamps 00:39 Ankur Goyal shares his journey from AI document processing to Braintrust 03:01 Defining evals and how they work in AI 07:03 Non-determinism and complexity in AI agents' decision-making 15:12 Advice on handling non-determinism when working with financial data in AI 17:40 Using multiple paths for validation and the importance of cross-checking results 22:12 The critical role of context in evaluating AI output accuracy 26:03 Internal evals as the cornerstone of reliable AI product development 32:16 Promoting transparency in AI evaluation with vendors 34:45 Advice for enterprises to avoid failure when deploying agentic capabilities
37:08

In our latest partner podcast episode, Ben Kus, CTO of Box, sat down with Ankur Goyal, CEO of Braintrust, to explore how organizations can effectively evaluate, test, and deploy AI agents at scale. Timestamps 00:39 Ankur Goyal shares his journey from AI document processing to Braintrust 03:01 Defining evals and how they work in AI 07:03 Non-determinism and complexity in AI agents' decision-making 15:12 Advice on handling non-determinism when working with financial data in AI 17:40 Using multiple paths for validation and the importance of cross-checking results 22:12 The critical role of context in evaluating AI output accuracy 26:03 Internal evals as the cornerstone of reliable AI product development 32:16 Promoting transparency in AI evaluation with vendors 34:45 Advice for enterprises to avoid failure when deploying agentic capabilities

Box

340,056 次观看 • 4 个月前

.Aaron Levie shared with CNBC why the rapid rise of AI agents is good news for enterprises that have the right foundation in place. "If you want to be able to include them in your workflow, have them augment your work, they need access to your critical enterprise data. And they need to access it in a secure way, in a way that's governed."
1:26

.Aaron Levie shared with CNBC why the rapid rise of AI agents is good news for enterprises that have the right foundation in place. "If you want to be able to include them in your workflow, have them augment your work, they need access to your critical enterprise data. And they need to access it in a secure way, in a way that's governed."

Box

1,904,830 次观看 • 3 个月前

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.
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$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

2xnmore

12,893 次观看 • 3 个月前

On a Reddit dupe called Moltbook, AI agents post much like we would, chatting about everything from religion to crypto and even about "their humans." But why? And is the AI doing this all on its own? In the latest installment of AI, Explained by Humans — our new series where our tech team breaks down developments in AI and how they could affect our daily lives — tech reporter Tharin Pillay explains what we're learning from this, and why it matters.
1:03

On a Reddit dupe called Moltbook, AI agents post much like we would, chatting about everything from religion to crypto and even about "their humans." But why? And is the AI doing this all on its own? In the latest installment of AI, Explained by Humans — our new series where our tech team breaks down developments in AI and how they could affect our daily lives — tech reporter Tharin Pillay explains what we're learning from this, and why it matters.

TIME

30,973 次观看 • 5 个月前

AI agents work better when they bring in context step by step. With Box Agent skills and progressive disclosure of LangChain skills, developers can quickly build AI agents that load the right skill at the right time, stay grounded in Box content, and keep access tightly scoped. Less context bloat. More control. Faster enterprise AI development.
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AI agents work better when they bring in context step by step. With Box Agent skills and progressive disclosure of LangChain skills, developers can quickly build AI agents that load the right skill at the right time, stay grounded in Box content, and keep access tightly scoped. Less context bloat. More control. Faster enterprise AI development.

Box

627,810 次观看 • 3 个月前

AI agents are only as powerful as the content they can access. Anthropic announced Dispatch in Claude Cowork — assign tasks from your phone, let Claude navigate your computer, get complex work done autonomously. But without a file system built for AI, even the most capable agent is working blind. Connect Claude Cowork to Box and your files become the foundation it reasons from. Is your content infrastructure ready for AI agents?
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AI agents are only as powerful as the content they can access. Anthropic announced Dispatch in Claude Cowork — assign tasks from your phone, let Claude navigate your computer, get complex work done autonomously. But without a file system built for AI, even the most capable agent is working blind. Connect Claude Cowork to Box and your files become the foundation it reasons from. Is your content infrastructure ready for AI agents?

Box

432,932 次观看 • 4 个月前

How Smart Is Your Trading Agent? Do you know how it actually makes trading decisions? Introducing the SMART benchmark for AI trading agents, co-hosted with Sonic SVM. Get your agent’s trading score and see how it ranks. Test your agent:
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How Smart Is Your Trading Agent? Do you know how it actually makes trading decisions? Introducing the SMART benchmark for AI trading agents, co-hosted with Sonic SVM. Get your agent’s trading score and see how it ranks. Test your agent:

Manic Trade ✈️ Rare Evo 2026 - Las Vegas

128,520 次观看 • 3 个月前

The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️
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The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️

KITE AI

25,038 次观看 • 4 个月前

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.
0:35

NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

Matt Schlicht

290,828 次观看 • 8 个月前

Don’t DIY your AI: building a custom Agentforce agent is as simple as describing the job and integrating it directly into your workflow—no separate models, hyperscalers, databases, or AI engineers needed! With all apps, data, AI, and workflows seamlessly integrated on the Salesforce Platform, humans + agents = customer success. This is what AI was meant to be! #DF24
2:36

Don’t DIY your AI: building a custom Agentforce agent is as simple as describing the job and integrating it directly into your workflow—no separate models, hyperscalers, databases, or AI engineers needed! With all apps, data, AI, and workflows seamlessly integrated on the Salesforce Platform, humans + agents = customer success. This is what AI was meant to be! #DF24

Marc Benioff

44,730 次观看 • 1 年前

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!
0:20

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!

Loomlay

26,140 次观看 • 1 年前

We made it. 24 episodes. 6 months. One wild ride through the future of agentic AI. In Episode 24 of Agents Unleashed, maybrier ☴ looks back at Season One: what we got right, what we’re still figuring out, and why AI agents are only getting started. • What people still don’t get about AI agents ft. David Minarsch ☴ • Tradeoffs of computer-use agents (and why they matter) • Can a model be loyal? ft. Oleg Golev • Big questions: What is an AI agent, really? • Ethereum’s 10-year plan ft. Tomasz K. Stańczak 00:00 – Introduction 00:52 – Do people "get" AI agents? with David Minarsch 02:13 – Letting an AI agent use your computer 03:50 – Measuring model "loyalty" with Oleg Golev, Sentient 06:06 – What makes something an AI agent? 07:44 – The next decade of Ethereum with Tomasz Stańczak This episode is sponsored by Olas (formerly Autonolas)
11:19

We made it. 24 episodes. 6 months. One wild ride through the future of agentic AI. In Episode 24 of Agents Unleashed, maybrier ☴ looks back at Season One: what we got right, what we’re still figuring out, and why AI agents are only getting started. • What people still don’t get about AI agents ft. David Minarsch ☴ • Tradeoffs of computer-use agents (and why they matter) • Can a model be loyal? ft. Oleg Golev • Big questions: What is an AI agent, really? • Ethereum’s 10-year plan ft. Tomasz K. Stańczak 00:00 – Introduction 00:52 – Do people "get" AI agents? with David Minarsch 02:13 – Letting an AI agent use your computer 03:50 – Measuring model "loyalty" with Oleg Golev, Sentient 06:06 – What makes something an AI agent? 07:44 – The next decade of Ethereum with Tomasz Stańczak This episode is sponsored by Olas (formerly Autonolas)

Olas (formerly Autonolas)

22,807 次观看 • 10 个月前

Why credit cards can't power the agent economy, and what will. At the USC VanEck Southern California Blockchain Conference, our Co-founder & CEO Chi Zhang broke down why existing payment infrastructure fails when AI agents transact: ▷ Privacy risk: Agents need your CVV, name, and card number with zero accountability. ▷ Fraud triggers: Automated browser clicks get flagged by Visa/Chase algorithms instantly. ▷ No agent identity: Agents can't sign up or sign in. Humans must intervene every time. The fix? Stablecoin-native rails with smart contract delegation. Giving agents a specific amount, a specific purpose, and a specific time window. Not your whole wallet. This is what Kite is building.
3:55

Why credit cards can't power the agent economy, and what will. At the USC VanEck Southern California Blockchain Conference, our Co-founder & CEO Chi Zhang broke down why existing payment infrastructure fails when AI agents transact: ▷ Privacy risk: Agents need your CVV, name, and card number with zero accountability. ▷ Fraud triggers: Automated browser clicks get flagged by Visa/Chase algorithms instantly. ▷ No agent identity: Agents can't sign up or sign in. Humans must intervene every time. The fix? Stablecoin-native rails with smart contract delegation. Giving agents a specific amount, a specific purpose, and a specific time window. Not your whole wallet. This is what Kite is building.

KITE AI

44,482 次观看 • 2 个月前

NOW you can BUILD REAL Multi-Modal Agents with our API! 🚀 Excited to announce our API is now publicly available Memories.ai 😃 Memories.ai is building the visual memory layer for AI, it enables AI to see and remember like humans do. 2025 is the year of agents, 2026 is the year of multi-modal agents! 🌟
1:03

NOW you can BUILD REAL Multi-Modal Agents with our API! 🚀 Excited to announce our API is now publicly available Memories.ai 😃 Memories.ai is building the visual memory layer for AI, it enables AI to see and remember like humans do. 2025 is the year of agents, 2026 is the year of multi-modal agents! 🌟

Shawn Shen

530,527 次观看 • 11 个月前

Say goodbye to the ugly chat UI of your AI Agents! 👋 I've built a workflow with instructions to give all your n8n AI Agents a ChatGPT-like chat interface. Download the workflow, required files, and instructions for free (link in comment).
1:20

Say goodbye to the ugly chat UI of your AI Agents! 👋 I've built a workflow with instructions to give all your n8n AI Agents a ChatGPT-like chat interface. Download the workflow, required files, and instructions for free (link in comment).

Victor

27,101 次观看 • 1 年前