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

> 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... show more

Yasser

44,837 subscribers

55,715 просмотров • 1 год назад •via X (Twitter)

Образование Музыка Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля Taylor Johnson

Taylor Johnson1 год назад

The reason apps/websites won’t do this is because it abstracts them from the user. There’s going to be an interesting period where some apps play ball with agents and some don’t. I think over time most will end up letting agents do things but it will take time.

Фото профиля Yasser

Yasser1 год назад

Yeah it will take time but i think you will start seeing it in a few big apps in 2025

Фото профиля Shuayb

Shuayb1 год назад

Can I follow along how to do this with the v0 docs ?

Фото профиля Yanis Ameziane

Yanis Ameziane1 год назад

Can you explain the challenges of building such à system

Фото профиля scan

scan1 год назад

Intent recognition💪

Фото профиля BoredGeekSociety | AI & Automation

BoredGeekSociety | AI & Automation1 год назад

@yasser_elsaid_ can you upload a document via the chat ? Some senarios require asking users for files

Фото профиля Cybertrip.family

Cybertrip.family1 год назад

It already exists:

Фото профиля Julian Harris

Julian Harris1 год назад

I used something similar back in the 90s with MacOS “scriptability”. It exists today in the form of Applescript / OSAscript & now you can use Javascript. Cf Webintents as well.

Фото профиля Allan Caman

Allan Caman1 год назад

Awesome feature! Does it work in when calling through API?

Фото профиля Yasser

Yasser1 год назад

yes, you define the API in chatbase (URL, parameters, body, etc..) and the agent will call it when it needs to.

Похожие видео

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,571 просмотров • 1 год назад

soon you're going to be able to have AI autonomously build apps for you, with no human in the loop. me, someone who can't code, can make an app with - Claude Computer Agent, that controls Cursor - clones a github repo - opens composer in agent mode - and prompts it with an app idea - and then waits for the Cursor Agent to finish Then I prompted that agent to test the app! (template @senior_swc)

soon you're going to be able to have AI autonomously build apps for you, with no human in the loop. me, someone who can't code, can make an app with - Claude Computer Agent, that controls Cursor - clones a github repo - opens composer in agent mode - and prompts it with an app idea - and then waits for the Cursor Agent to finish Then I prompted that agent to test the app! (template @senior_swc)

Riley Brown

48,960 просмотров • 1 год назад

The most underutilized AI API is Gemini 2.5 pro with video input. This app is for our first ever intern, Kevin, who makes content. So I built an app that analyzes his videos before he posts. And it doesn’t just analyze the script. It literally “watches” the video in seconds and provides feedback on visuals + dialogue. Side note: The agent now searches the web, and implements any API just give it your key.

The most underutilized AI API is Gemini 2.5 pro with video input. This app is for our first ever intern, Kevin, who makes content. So I built an app that analyzes his videos before he posts. And it doesn’t just analyze the script. It literally “watches” the video in seconds and provides feedback on visuals + dialogue. Side note: The agent now searches the web, and implements any API just give it your key.

Riley Brown

66,711 просмотров • 1 год назад

OpenClaw in a nutshell. An AI agent determined it couldn’t transcribe an audio message from a user prompt, so it found a local API key and called an external API to transcribe it automatically, interpret, and send a text message back to the user, all in 9 seconds.

OpenClaw in a nutshell. An AI agent determined it couldn’t transcribe an audio message from a user prompt, so it found a local API key and called an external API to transcribe it automatically, interpret, and send a text message back to the user, all in 9 seconds.

Jason DeBolt ⚡️

45,220 просмотров • 4 месяцев назад

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Bret Taylor

1,059,004 просмотров • 3 месяцев назад

Today, we’re excited to announce AI Actions! AI Actions turn your chatbot into an AI Agent that can take actions by calling any API. This lets the agent do things like upgrade_subscription, track_shipment, book_appointment, and more. Here’s how it works: 1. Set up your API in Chatbase or select from prebuilt actions like Cal.com get_available_slots and Matt Slack send_message. 2. Provide a prompt to guide the Agent on when and how to use the action. 3. Your AI Agent takes care of the rest, executing actions for your customers, giving them a mind-blowing experience. These actions can be internal APIs for app-specific tasks or it can be APIs for external tools your business uses like a ticketing system, a CRM, e-commerce platform, or really anything else. We're raising the bar for customer experience.

Today, we’re excited to announce AI Actions! AI Actions turn your chatbot into an AI Agent that can take actions by calling any API. This lets the agent do things like upgrade_subscription, track_shipment, book_appointment, and more. Here’s how it works: 1. Set up your API in Chatbase or select from prebuilt actions like Cal.com get_available_slots and Matt Slack send_message. 2. Provide a prompt to guide the Agent on when and how to use the action. 3. Your AI Agent takes care of the rest, executing actions for your customers, giving them a mind-blowing experience. These actions can be internal APIs for app-specific tasks or it can be APIs for external tools your business uses like a ticketing system, a CRM, e-commerce platform, or really anything else. We're raising the bar for customer experience.

Chatbase

410,583 просмотров • 1 год назад

At Postman, we have adopted an AI-native mindset to product development. What does this mean in practice? Just like you can generate text with AI, Postman's Agent Mode can generate a UI as well. Case in point: we have added the ability to review, generate, and change diffs for important changes right inside agent mode's chat interaction. If the user trusts agent mode, they can continue in auto-mode, but for critical changes, they can have the agent mode inform the user, review what is changing, and then give the go ahead to approve. See this in action below in the video! While there is a lot of focus on AI generated code today, I believe a large chunk of pre-built UI work will just go away and micro-interactions and workflow steps will be created on the fly through a combination of AI + APIs. How to operate in this new world? Build your API first. Hook it up to AI. If your users really want the UI every time, invest in the GUI.

At Postman, we have adopted an AI-native mindset to product development. What does this mean in practice? Just like you can generate text with AI, Postman's Agent Mode can generate a UI as well. Case in point: we have added the ability to review, generate, and change diffs for important changes right inside agent mode's chat interaction. If the user trusts agent mode, they can continue in auto-mode, but for critical changes, they can have the agent mode inform the user, review what is changing, and then give the go ahead to approve. See this in action below in the video! While there is a lot of focus on AI generated code today, I believe a large chunk of pre-built UI work will just go away and micro-interactions and workflow steps will be created on the fly through a combination of AI + APIs. How to operate in this new world? Build your API first. Hook it up to AI. If your users really want the UI every time, invest in the GUI.

Abhinav Asthana

104,263 просмотров • 11 месяцев назад

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Santiago

46,109 просмотров • 1 год назад

This shouldn’t be possible… I built a reusable API for YouTube in under 5 minutes just by showing the agent once. My colleague needed all video links from a creator → the agent reverse-engineered the flow and produced a permanent API endpoint. Now we can hit it forever.

This shouldn’t be possible… I built a reusable API for YouTube in under 5 minutes just by showing the agent once. My colleague needed all video links from a creator → the agent reverse-engineered the flow and produced a permanent API endpoint. Now we can hit it forever.

Magnus Müller

42,321 просмотров • 6 месяцев назад

I just vibe coded an app powered by an n8n agent, using the . The app will help me do research and prep for podcasts that I produce. Here's how the app works: - I type in the episode topic or topics - The App connects with my n8n agent that researches the topic, relevant news, and what people are saying about it - It also finds relevant links, and tweets - It sends the script / outline email to the team - And then it shows me what it did on the app

I just vibe coded an app powered by an n8n agent, using the . The app will help me do research and prep for podcasts that I produce. Here's how the app works: - I type in the episode topic or topics - The App connects with my n8n agent that researches the topic, relevant news, and what people are saying about it - It also finds relevant links, and tweets - It sends the script / outline email to the team - And then it shows me what it did on the app

Emily Lambert

57,603 просмотров • 1 год назад

Charge $0.001 for an API call. Let an agent pay for it automatically. Settle thousands of payments without requiring a separate onchain gas charge for every transaction. The Arc Nanopayments Starter gives developers a reference implementation for AI agent payments using x402, Circle Gateway, and USDC on Arc Testnet. Clone it, run the seller app, start the buyer agent, and watch nanopayments happen in real time. GitHub:

Charge $0.001 for an API call. Let an agent pay for it automatically. Settle thousands of payments without requiring a separate onchain gas charge for every transaction. The Arc Nanopayments Starter gives developers a reference implementation for AI agent payments using x402, Circle Gateway, and USDC on Arc Testnet. Clone it, run the seller app, start the buyer agent, and watch nanopayments happen in real time. GitHub:

Arc

48,050 просмотров • 1 месяц назад

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

118,124 просмотров • 23 дней назад

BREAKING: Replit just launched mobile apps. Now you can build in Replit ⠕ and submit straight to the App Store for review. Describe your app → build it on Replit → test on your phone → publish to the App Store. I built a unicorn pet app for my niece: - Worked with Replit Agent to build it out - Scanned a QR code to download and test on my phone - One click to send to App Store Connect for review - A couple submissions later, it's live in the App Store! 🙌 I didn't write a single line of code! Just described what I wanted to Agent. Amazing! 😅 Go build something!! 👇

BREAKING: Replit just launched mobile apps. Now you can build in Replit ⠕ and submit straight to the App Store for review. Describe your app → build it on Replit → test on your phone → publish to the App Store. I built a unicorn pet app for my niece: - Worked with Replit Agent to build it out - Scanned a QR code to download and test on my phone - One click to send to App Store Connect for review - A couple submissions later, it's live in the App Store! 🙌 I didn't write a single line of code! Just described what I wanted to Agent. Amazing! 😅 Go build something!! 👇

Manny Bernabe

30,925 просмотров • 5 месяцев назад

I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.

I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.

Tony Dinh

43,634 просмотров • 1 месяц назад

Here's a demo of the gpt-4-vision API that I built in Bubble in 30 min. It takes a URL, converts it to an image, and sends it through the Vision API to respond with custom landing page optimization suggestions.

Here's a demo of the gpt-4-vision API that I built in Bubble in 30 min. It takes a URL, converts it to an image, and sends it through the Vision API to respond with custom landing page optimization suggestions.

Seth Kramer

953,981 просмотров • 2 лет назад

I vibe-coded an AI agent for making presentations 🤖🖼️ - accessible to everyone and open-source! You can upload both your context files, as well as a style template (a file that captures the style of the presentation you want to create). Then you launch a prompt and watch the agent one-shot your presentation. After the presentation is generated, you can edit the text inline, chat with the agent to add/modify/delete slides, and export to Powerpoint or PDF. Built with Claude Code, powered by Claude Agent SDK + LlamaParse. Hosted on Vercel/Render. To use it, you do need to specify your LlamaCloud API key and Anthropic API key (see below). App: Repo: Sign up to LlamaCloud:

I vibe-coded an AI agent for making presentations 🤖🖼️ - accessible to everyone and open-source! You can upload both your context files, as well as a style template (a file that captures the style of the presentation you want to create). Then you launch a prompt and watch the agent one-shot your presentation. After the presentation is generated, you can edit the text inline, chat with the agent to add/modify/delete slides, and export to Powerpoint or PDF. Built with Claude Code, powered by Claude Agent SDK + LlamaParse. Hosted on Vercel/Render. To use it, you do need to specify your LlamaCloud API key and Anthropic API key (see below). App: Repo: Sign up to LlamaCloud:

Jerry Liu

21,073 просмотров • 5 месяцев назад

Creating custom APIs for any website just got 100× easier. Suno AI has no public API for song generation - so I showed this agent the workflow once. It reverse-engineered the requests and built a reusable API I can call infinitely all in less than 5 mins. To which sites do you want to have APIs?

Creating custom APIs for any website just got 100× easier. Suno AI has no public API for song generation - so I showed this agent the workflow once. It reverse-engineered the requests and built a reusable API I can call infinitely all in less than 5 mins. To which sites do you want to have APIs?

Magnus Müller

106,079 просмотров • 7 месяцев назад

My smart speaker now makes phone calls In less than an hour, I built an AI agent with Replit and connected it to OpenHome Now I can just say “hey OpenHome” and have it call restaurants to book reservations, ask hotels for free upgrades, and more

My smart speaker now makes phone calls In less than an hour, I built an AI agent with Replit and connected it to OpenHome Now I can just say “hey OpenHome” and have it call restaurants to book reservations, ask hotels for free upgrades, and more

Samuel Spitz

49,019 просмотров • 2 месяцев назад

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 просмотров • 1 год назад