Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

after using replit's coding agent i think...its over for a lot of traditional saas wanted slack notifications when customers subscribed/cancelled Zapier was 30/mo JUST to add a price filter instead replit's agent built & deployed one in < 5 mins, with tests. 1/10 of the cost

Sully

58,019 subscribers

364,667 просмотров • 1 год назад •via X (Twitter)

Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля The Canaanite

The Canaanite1 год назад

Kinda wild huh, most people have no idea about the tsunami of change that's forming on the horizon lol

Фото профиля Sully

Sully1 год назад

fr lol

Фото профиля Millin Gabani

Millin Gabani1 год назад

Yep, software or SaaS is race to the bottom. There is going to lots of new software that will be built. I doubt we will ever get to 8B people building their own software, but in a decade 20-30M people will be building it. Relevant comment from another discussion.

Фото профиля Sully

Sully1 год назад

similiar to youtube probably

Фото профиля Ken Greeff

Ken Greeff1 год назад

I think you forget that most businesses don’t want to go and build their own things. They just want to grab something off the shelf and move on with their core product

Фото профиля Sully

Sully1 год назад

what if he thing costs you 1k/mo? b2b saas is insanely expensive

Фото профиля Max the VC 👨‍🚀

Max the VC 👨‍🚀1 год назад

Ironically, had this exact thought last week ahaha

Фото профиля Sully

Sully1 год назад

gg saas lol

Фото профиля Al Cattell

Al Cattell1 год назад

It’s over for no code

Фото профиля Sully

Sully1 год назад

actually yeah lmfao goodnight nocode lol

Похожие видео

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

rvivek

11,870 просмотров • 2 месяцев назад

I used Factory CLI to build a tiny TUI tool that: - monitors web page changes - sends Telegram notifications - runs privately on a $5/mo VPS - uses Droid headless agent to summarise content All in <2hrs. Watch this 11m demo of the app and how I deployed it to my server ↓

I used Factory CLI to build a tiny TUI tool that: - monitors web page changes - sends Telegram notifications - runs privately on a $5/mo VPS - uses Droid headless agent to summarise content All in <2hrs. Watch this 11m demo of the app and how I deployed it to my server ↓

Ian Nuttall

32,008 просмотров • 10 месяцев назад

> Define an API > Tell the agent when to call the API > Set it live > It verifies the logged in user and makes API calls with their user_id > The user can do anything on your app by asking the AI Agent I think a lot websites and apps will have this option in 2025, instead of clicking on the screen to do something, just ask the agent. "Book a room for me for three days." "Show me the analytics for the past 30 days." "Sell my TSLA stock when it reaches $500." Here is an action that upgrades a subscription in a demo music app built with v0

> Define an API > Tell the agent when to call the API > Set it live > It verifies the logged in user and makes API calls with their user_id > The user can do anything on your app by asking the AI Agent I think a lot websites and apps will have this option in 2025, instead of clicking on the screen to do something, just ask the agent. "Book a room for me for three days." "Show me the analytics for the past 30 days." "Sell my TSLA stock when it reaches $500." Here is an action that upgrades a subscription in a demo music app built with v0

Yasser

55,715 просмотров • 1 год назад

Just tried Agent 3 from Replit ⠕ and wow… it actually feels like having a teammate who does the boring stuff for you. > Runs on its own for 200 minutes > Tests and fixes its own apps > Lets you build Slack/Telegram bots & automations All I had to do was tell it what I wanted. See it in action 👇

Just tried Agent 3 from Replit ⠕ and wow… it actually feels like having a teammate who does the boring stuff for you. > Runs on its own for 200 minutes > Tests and fixes its own apps > Lets you build Slack/Telegram bots & automations All I had to do was tell it what I wanted. See it in action 👇

Aditya

70,782 просмотров • 10 месяцев назад

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

Johnny

27,176 просмотров • 1 год назад

Over the last month, I burned over $200k in tokens with gpt-5.6-sol. I built a lot. Instead of just reacting to the benchmarks, news, tweets, etc, I went a different route. This video is an overview of all the cool shit I built using the new model. Proper review coming soon™

Over the last month, I burned over $200k in tokens with gpt-5.6-sol. I built a lot. Instead of just reacting to the benchmarks, news, tweets, etc, I went a different route. This video is an overview of all the cool shit I built using the new model. Proper review coming soon™

Theo - t3.gg

251,965 просмотров • 24 дней назад

Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

Harjot Gill

4,775,106 просмотров • 3 месяцев назад

haha, i used OpenAI operator build, deploy, and open source a tool on github using Replit ⠕ agent. took about 30 min, here's an ~8 min supercut video thoughts: - while working with replit agent, it actually deployed the app, tested it, and described the error back to replit agent for me - operator asked me a few more Qs than i wanted, but it was mostly for safety (eg filling forms) so i guess okay with it - it had trouble with a few things around UI like knowing it needs to scroll a page to see the rest of it, and it needed pointers to find the git feature in replit - once it found the git feature it didn't need my assistance to create a repo and open source after having the agent write a readme while a bit slower, this was even more automated than replit agent (especially testing features and working through errors) - which is impressive would be nice to have: push notifications for when it needs my attention, and voice mode capabilities

haha, i used OpenAI operator build, deploy, and open source a tool on github using Replit ⠕ agent. took about 30 min, here's an ~8 min supercut video thoughts: - while working with replit agent, it actually deployed the app, tested it, and described the error back to replit agent for me - operator asked me a few more Qs than i wanted, but it was mostly for safety (eg filling forms) so i guess okay with it - it had trouble with a few things around UI like knowing it needs to scroll a page to see the rest of it, and it needed pointers to find the git feature in replit - once it found the git feature it didn't need my assistance to create a repo and open source after having the agent write a readme while a bit slower, this was even more automated than replit agent (especially testing features and working through errors) - which is impressive would be nice to have: push notifications for when it needs my attention, and voice mode capabilities

Yohei

211,889 просмотров • 1 год назад

Anthropic Managed Agents team: "Fable 5 is our best model for running self-improving agent systems. Add /loops, dynamic workflows, dreaming and you are unstoppable" in this video he breaks down exactly how most people are using Claude: - the 34% you lose to CLAUDE.md before typing a word - one agent researching. one building. one reviewing. one orchestrating - the architecture that separates hobbyists from real builders - the 3 properties every agent team needs to actually survive if you've been using Claude for more than a month and never left the chat window, you've been using one agent when you could be running a team of them instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Anthropic Managed Agents team: "Fable 5 is our best model for running self-improving agent systems. Add /loops, dynamic workflows, dreaming and you are unstoppable" in this video he breaks down exactly how most people are using Claude: - the 34% you lose to CLAUDE.md before typing a word - one agent researching. one building. one reviewing. one orchestrating - the architecture that separates hobbyists from real builders - the 3 properties every agent team needs to actually survive if you've been using Claude for more than a month and never left the chat window, you've been using one agent when you could be running a team of them instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Khairallah AL-Awady

21,533 просмотров • 1 месяц назад

I shot this video last week to onboard a new set of alpha customers to Notion Custom Agents. Figured I should just put it out here so you can follow along the latest and greatest. It's so cool to see all the things people are building with it. You can see some of my own use cases here: (0:00) Intro to custom agents Starting with personal use cases (1:00) Building a mail triage agent (5:00) Creating a prep doc for all my daily meetings (6:45) Generating a daily report that helps me catch up with multiple slack channels Switching to company use cases (8:30) Agent that automatically answers questions in a slack channel and files tasks when necessary (10:30) Agent that auto-routes product feedback to the right team channel and task db. And it does this with routing rules, that it wrote itself. (12:40) Build your own agent. Let your imaginations run wild! Send us feedback! The product is rolling out quickly, and everyone should have access in the next couple weeks.

I shot this video last week to onboard a new set of alpha customers to Notion Custom Agents. Figured I should just put it out here so you can follow along the latest and greatest. It's so cool to see all the things people are building with it. You can see some of my own use cases here: (0:00) Intro to custom agents Starting with personal use cases (1:00) Building a mail triage agent (5:00) Creating a prep doc for all my daily meetings (6:45) Generating a daily report that helps me catch up with multiple slack channels Switching to company use cases (8:30) Agent that automatically answers questions in a slack channel and files tasks when necessary (10:30) Agent that auto-routes product feedback to the right team channel and task db. And it does this with routing rules, that it wrote itself. (12:40) Build your own agent. Let your imaginations run wild! Send us feedback! The product is rolling out quickly, and everyone should have access in the next couple weeks.

Akshay Kothari

74,770 просмотров • 6 месяцев назад

JUST IN: Iran has published footage showing the destruction of a US MQ-1 Predator drone over southern Iran yesterday, using one of its modern air defense systems. MQ-1 is estimated to cost between $4 million and $5 million per unit.

JUST IN: Iran has published footage showing the destruction of a US MQ-1 Predator drone over southern Iran yesterday, using one of its modern air defense systems. MQ-1 is estimated to cost between $4 million and $5 million per unit.

Current Report

15,489 просмотров • 2 месяцев назад

🚀New Amazon Q Developer agent for software development is available to customers: This agent is based on a new agent architecture that has exciting results coming from the SWE-bench scores (on the full and verified benchmarks) representing AI models’ ability to resolve real-world coding problems. Interesting aspect of Q Agent is that with these newest updates, Q drove nearly 50% more successful coding tasks completed. What makes Q Dev Agent remarkable? The agent architecture is not just about using the best LLMs (which we do), but also giving the agent the ability to constantly explore multiple paths to find the best way to resolve a particular problem (and back tracking when it has reached dead end like a developer would do). Needless to say, we are just getting started on the developer agent and we are constantly pushing to advance our AI capabilities while maintaining quality, security, privacy, and reliability to keep Amazon Q Developer an innovative and trusted option available to our customers using agents for software development. We highlighted the results of our first SWE-bench submission of Amazon Q Developer back in June blog post; with these updates, our new agent resolves 51% more coding tasks than its previous iteration on the SWE-bench verified dataset, and 43% more on the full dataset. That’s the difference a few months make, and I can’t wait to share what our teams will deliver at re:Invent this December. Here's a quick demo showcasing our new Agent in action:

🚀New Amazon Q Developer agent for software development is available to customers: This agent is based on a new agent architecture that has exciting results coming from the SWE-bench scores (on the full and verified benchmarks) representing AI models’ ability to resolve real-world coding problems. Interesting aspect of Q Agent is that with these newest updates, Q drove nearly 50% more successful coding tasks completed. What makes Q Dev Agent remarkable? The agent architecture is not just about using the best LLMs (which we do), but also giving the agent the ability to constantly explore multiple paths to find the best way to resolve a particular problem (and back tracking when it has reached dead end like a developer would do). Needless to say, we are just getting started on the developer agent and we are constantly pushing to advance our AI capabilities while maintaining quality, security, privacy, and reliability to keep Amazon Q Developer an innovative and trusted option available to our customers using agents for software development. We highlighted the results of our first SWE-bench submission of Amazon Q Developer back in June blog post; with these updates, our new agent resolves 51% more coding tasks than its previous iteration on the SWE-bench verified dataset, and 43% more on the full dataset. That’s the difference a few months make, and I can’t wait to share what our teams will deliver at re:Invent this December. Here's a quick demo showcasing our new Agent in action:

Swami Sivasubramanian

28,946 просмотров • 1 год назад

Most scripts never get made. And it's rarely about the writing. It's about risk. About economics. About no one in the room willing to take the bet. One of our directors stopped waiting. He built a 10-min episode of his in a week using InVideo Agent One. We're taking it to full production. The line just moved. The stories that didn't make it through the room now have a way through. Just spend 10 mins watching it. An Invideo original - Penumbra - EP - 1

Most scripts never get made. And it's rarely about the writing. It's about risk. About economics. About no one in the room willing to take the bet. One of our directors stopped waiting. He built a 10-min episode of his in a week using InVideo Agent One. We're taking it to full production. The line just moved. The stories that didn't make it through the room now have a way through. Just spend 10 mins watching it. An Invideo original - Penumbra - EP - 1

Invideo

15,030 просмотров • 2 месяцев назад

After testing Kimi.ai K2 for a few hours, My overall take: - Performance between Claude 3.5 & Claude 4 (Just my vibe eval!) - The UI generation seems great - But the cost is only 20% of Claude 3.5 - So good enough for most coding agent with a lot more manageable cost Easiest way to use Kimi K2 in Claude Code: - export ANTHROPIC_AUTH_TOKEN=YOUR_MOONSHOT_API - export ANTHROPIC_BASE_URL= - claude ------ Here are my tests & how to integrate to Claude Code: 1. Whole UI component library 2. Make online IDE UI 3. Build Functional mario game ...

After testing Kimi.ai K2 for a few hours, My overall take: - Performance between Claude 3.5 & Claude 4 (Just my vibe eval!) - The UI generation seems great - But the cost is only 20% of Claude 3.5 - So good enough for most coding agent with a lot more manageable cost Easiest way to use Kimi K2 in Claude Code: - export ANTHROPIC_AUTH_TOKEN=YOUR_MOONSHOT_API - export ANTHROPIC_BASE_URL= - claude ------ Here are my tests & how to integrate to Claude Code: 1. Whole UI component library 2. Make online IDE UI 3. Build Functional mario game ...

Jason Zhou

80,871 просмотров • 1 год назад

This was a top 3 moment in my life. After losing Ben, I’ve wanted to continue to honor him in my music & at my shows. I put together a couple of moments at the end of the set with a lot of feeling & this was one of the highlights. LLBB

This was a top 3 moment in my life. After losing Ben, I’ve wanted to continue to honor him in my music & at my shows. I put together a couple of moments at the end of the set with a lot of feeling & this was one of the highlights. LLBB

Robert Oliver

17,134 просмотров • 9 месяцев назад

What happens when you give a frontier agent access to a full company's history of docs, messages, tasks and more? As I'm onboarding to ClickUp, this feels like an absolute cheat code. "Cursor for your entire job." Full history of the company's thinking, decision making and operations are natively accessible w/ first-party tools and data access. No exaggeration this has reduced the amount of overhead to get ramped up (# of messages sent) by >60%. At Codegen we built an agent that straddles multiple applications - Slack, Linear, Notion, etc. - with many obvious limitations. Agents cannot search Slack historical conversations, for example, nor can you index Slack data. Any question concerning a historical decision is just out of reach. There are clear constraints of fragmentation preventing otherwise extremely capable models from performing productive tasks. Seems the biggest bottleneck to agent productivity in early 2026 is not capabilities or knowledge, it's the politics and incentives around SAAS fragmentation. Very bullish for all-in-one horizontal SAAS and what that unlocks

What happens when you give a frontier agent access to a full company's history of docs, messages, tasks and more? As I'm onboarding to ClickUp, this feels like an absolute cheat code. "Cursor for your entire job." Full history of the company's thinking, decision making and operations are natively accessible w/ first-party tools and data access. No exaggeration this has reduced the amount of overhead to get ramped up (# of messages sent) by >60%. At Codegen we built an agent that straddles multiple applications - Slack, Linear, Notion, etc. - with many obvious limitations. Agents cannot search Slack historical conversations, for example, nor can you index Slack data. Any question concerning a historical decision is just out of reach. There are clear constraints of fragmentation preventing otherwise extremely capable models from performing productive tasks. Seems the biggest bottleneck to agent productivity in early 2026 is not capabilities or knowledge, it's the politics and incentives around SAAS fragmentation. Very bullish for all-in-one horizontal SAAS and what that unlocks

Jay Hack

17,226 просмотров • 6 месяцев назад

I just created a 30-second Louis Vuitton fashion campaign by sharing just one thought with my Pika Agent ✨ Told my Pika agent: "using me as the character, create a 30s video in Louis Vuitton, fashion campaign vibe, absolutely cinematic and cool, ends with a black screen. have some pixelated elements, keep the facial identity of the character throughout the video" That's it. One message and my Pika Agent handled the rest- casting, directing, editing, sound! This is what it means when I say creation just got insane. Pika Agent is the most personal creative tool I've ever used.

I just created a 30-second Louis Vuitton fashion campaign by sharing just one thought with my Pika Agent ✨ Told my Pika agent: "using me as the character, create a 30s video in Louis Vuitton, fashion campaign vibe, absolutely cinematic and cool, ends with a black screen. have some pixelated elements, keep the facial identity of the character throughout the video" That's it. One message and my Pika Agent handled the rest- casting, directing, editing, sound! This is what it means when I say creation just got insane. Pika Agent is the most personal creative tool I've ever used.

Oluwatimileyin✨🦋

430,708 просмотров • 3 месяцев назад

JUST IN: Off-duty ATF agent paralyzed after being shot in the neck trying to stop a fight while leaving a bowling alley with his family 'WE DON'T GIVE A F-CK ABOUT YOUR KIDS' 18-year-old Christopher Smith was arrested seven hours after the shooting and faces charges of attempted murd-r, aggravated battery, tampering with evidence, and carrying a concealed firearm The off-duty ATF agent was with his family at the bowling alley when he saw a fight in the parking lot The agent tried to intervene and was shot in the neck

JUST IN: Off-duty ATF agent paralyzed after being shot in the neck trying to stop a fight while leaving a bowling alley with his family 'WE DON'T GIVE A F-CK ABOUT YOUR KIDS' 18-year-old Christopher Smith was arrested seven hours after the shooting and faces charges of attempted murd-r, aggravated battery, tampering with evidence, and carrying a concealed firearm The off-duty ATF agent was with his family at the bowling alley when he saw a fight in the parking lot The agent tried to intervene and was shot in the neck

Unlimited L's

712,352 просмотров • 1 год назад

My Researcher Agent - {Xinstein} was a HIT. It is performing very well. But now I want to take Xinstein to the next level. I am implementing the "Chain of Density" Summarization Technique. To gather the best context for the Agent to explain the concept even better. Here are a few ideas to build your next AI Agent in ChatGPT: 1. Add Writer Agent prompt structure after the summarization step. And you'll have your Blog Writer Agent. 2. Add "Doc Maker A+" Plugin in the end to save all your Research in Google Doc or PDF format. 3. Wait till DALL-E 3 and you'll be able to design infographics for your research, posts, blogs. Xinstein was 1 of 100 weird experiments I did with ChatGPT. Results: I think I have found a technique that erases hallucinations & assumptions from AI Agents. I am experimenting with this technique. Once I'll format it correctly, I might publish a paper on that. I call it the "Agent Benchmark Technique." This week was crazy! ✦ I have cracked the best offer for AI Automation Agency. ✦ I got solid breakthrough with HypeGenius. ✦ I got invited to speak in one of the biggest LLM Firm. ✦ I got another viral post after 25 days of gap. ✦ 100 days left in New Year: I have an exciting ANNOUNCEMENT for AI Hustlers, I will share that in Monday's Newsletter Edition. If you haven't tried Xinstein Agent in ChatGPT, try it. It'll sort your research with just ONE prompt. Here's a link: --- That's a wrap for today. Get Ready for Monday's Newsletter Edition. *Something coming to push you forward and make you take Action! Follow me CJ for daily AI breakdowns and Crazy AI experiments. Peace.

My Researcher Agent - {Xinstein} was a HIT. It is performing very well. But now I want to take Xinstein to the next level. I am implementing the "Chain of Density" Summarization Technique. To gather the best context for the Agent to explain the concept even better. Here are a few ideas to build your next AI Agent in ChatGPT: 1. Add Writer Agent prompt structure after the summarization step. And you'll have your Blog Writer Agent. 2. Add "Doc Maker A+" Plugin in the end to save all your Research in Google Doc or PDF format. 3. Wait till DALL-E 3 and you'll be able to design infographics for your research, posts, blogs. Xinstein was 1 of 100 weird experiments I did with ChatGPT. Results: I think I have found a technique that erases hallucinations & assumptions from AI Agents. I am experimenting with this technique. Once I'll format it correctly, I might publish a paper on that. I call it the "Agent Benchmark Technique." This week was crazy! ✦ I have cracked the best offer for AI Automation Agency. ✦ I got solid breakthrough with HypeGenius. ✦ I got invited to speak in one of the biggest LLM Firm. ✦ I got another viral post after 25 days of gap. ✦ 100 days left in New Year: I have an exciting ANNOUNCEMENT for AI Hustlers, I will share that in Monday's Newsletter Edition. If you haven't tried Xinstein Agent in ChatGPT, try it. It'll sort your research with just ONE prompt. Here's a link: --- That's a wrap for today. Get Ready for Monday's Newsletter Edition. *Something coming to push you forward and make you take Action! Follow me CJ for daily AI breakdowns and Crazy AI experiments. Peace.

CJ Zafir

44,626 просмотров • 2 лет назад

Ora just released the Trustpilot for AI agents 🤯 Every agent faces the same question: "which product should I use for my user?" Now they can ask ora. One MCP call returns a ranked list of agent-ready products, scored and reviewed by other agents who tried them first. Add it to OpenClaw, Hermes or any other agent in 30 seconds. Check out the docs here:

Ora just released the Trustpilot for AI agents 🤯 Every agent faces the same question: "which product should I use for my user?" Now they can ask ora. One MCP call returns a ranked list of agent-ready products, scored and reviewed by other agents who tried them first. Add it to OpenClaw, Hermes or any other agent in 30 seconds. Check out the docs here:

Assaf Elovic

16,900 просмотров • 3 месяцев назад