Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

The best builders don't build everything. They build on each other's work. AI should work the same way. Publish an agent. Discover an agent. Extend an agent. Build something bigger. Welcome to OptimAI Agent Marketplace. 👉

OptimaiNetwork's profile picture

OptimAI Network

99,097 subscribers

19,285 Aufrufe • vor 23 Tagen •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Sometimes the best way to build a UI for an agent is to not build the UI at all. I built an AI agent starter that lives in iMessage. Built on Nitro + Vercel Workflow SDK + evlog - Durable execution - Auto-retry on errors - Full observability
0:28

Sometimes the best way to build a UI for an agent is to not build the UI at all. I built an AI agent starter that lives in iMessage. Built on Nitro + Vercel Workflow SDK + evlog - Durable execution - Auto-retry on errors - Full observability

Hugo

11,692 Aufrufe • vor 3 Monaten

Build an AI Agent & Win a piece of $78k! Only 1 week left to build an AI Agent to support the real-world asset (RWA) ecosystem on the XDC Network. Level Up! Learn more 🧵👇
0:20

Build an AI Agent & Win a piece of $78k! Only 1 week left to build an AI Agent to support the real-world asset (RWA) ecosystem on the XDC Network. Level Up! Learn more 🧵👇

XDC Community

40,410 Aufrufe • vor 1 Jahr

How to Build an AI Agent (in 79 seconds)
1:16

How to Build an AI Agent (in 79 seconds)

dylan

60,302 Aufrufe • vor 1 Jahr

How to build an AI agent in minutes with IBM watsonx Orchestrate at TechXChange Agent Bay🤖 #IBMPartner
0:54

How to build an AI agent in minutes with IBM watsonx Orchestrate at TechXChange Agent Bay🤖 #IBMPartner

Ale (pikacodes)

23,251 Aufrufe • vor 10 Monaten

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.
17:04

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.

Santiago

56,569 Aufrufe • vor 1 Jahr

introducing agent-to-agent hiring at Hyperspell (YC F25) no resumes. no leetcode. you build an agent. our agent interviews yours if you can build a great agent to do the job, that's the proof you can do the job anyone can apply. we will interview every single agent
0:54

introducing agent-to-agent hiring at Hyperspell (YC F25) no resumes. no leetcode. you build an agent. our agent interviews yours if you can build a great agent to do the job, that's the proof you can do the job anyone can apply. we will interview every single agent

conor brennan-burke

143,287 Aufrufe • vor 5 Monaten

Learn how to build an AI agent in 175 lines of Python.
5:11

Learn how to build an AI agent in 175 lines of Python.

Lee Robinson

72,218 Aufrufe • vor 1 Jahr

Anyone can build an agent. But to build a trustworthy agent at enterprise scale that is durable, long-running, optimized, contextually aware, and autonomous, the right infrastructure is required. At DevCon 6 we introduced the Agent Stack, the culmination of learnings gathered over years of agentic implementations. Orchestrator, Agent Engine, Agent SDK, Agent Builder, Agent Manager, AIP Evolve, SuperRepo, and so much more. All built on the Ontology, to power agents that actually work in production.
4:07

Anyone can build an agent. But to build a trustworthy agent at enterprise scale that is durable, long-running, optimized, contextually aware, and autonomous, the right infrastructure is required. At DevCon 6 we introduced the Agent Stack, the culmination of learnings gathered over years of agentic implementations. Orchestrator, Agent Engine, Agent SDK, Agent Builder, Agent Manager, AIP Evolve, SuperRepo, and so much more. All built on the Ontology, to power agents that actually work in production.

Palantir

81,324 Aufrufe • vor 26 Tagen

Watch this ADK TypeScript tutorial from Mandy Chan to build an AI agent using the open-source toolkit. 04:50 Science Teacher Agent demo 08:30 Customer Order Agent demo
15:43

Watch this ADK TypeScript tutorial from Mandy Chan to build an AI agent using the open-source toolkit. 04:50 Science Teacher Agent demo 08:30 Customer Order Agent demo

Google AI Developers

24,948 Aufrufe • vor 6 Monaten

I build an agent that makes 100 videos an hour.
0:36

I build an agent that makes 100 videos an hour.

Amir D

91,628 Aufrufe • vor 4 Monaten

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.
4:16

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,715 Aufrufe • vor 1 Monat

Build together with Agent 4 - Focus on the vision while Agent handles execution - Plan, design, and build in parallel - Submit work and merge into the main app when ready
0:30

Build together with Agent 4 - Focus on the vision while Agent handles execution - Plan, design, and build in parallel - Submit work and merge into the main app when ready

Replit ⠕

292,300 Aufrufe • vor 4 Monaten

Don't waste 2 years learning to build AI agents. An Anthropic engineer who built Claude Code tells you what to learn from scratch instead. 60 minutes course. Free: 00:00 - AI agent architecture 24:47 - LangGraph AI agent 29:15 - building AI agents live Prompting is the old job. Building AI agent loops is the new one. Bookmark now & watch it. Then build your own AI agent with the guide below.
1:01:03

Don't waste 2 years learning to build AI agents. An Anthropic engineer who built Claude Code tells you what to learn from scratch instead. 60 minutes course. Free: 00:00 - AI agent architecture 24:47 - LangGraph AI agent 29:15 - building AI agents live Prompting is the old job. Building AI agent loops is the new one. Bookmark now & watch it. Then build your own AI agent with the guide below.

Roan

55,250 Aufrufe • vor 11 Tagen

I intended to build an outbound sales agent but it didn't work out due to some geographical restrictions which I'm looking for alternative ways to fix. But I went ahead to create an inbound sales Agent instead. I used to have this work.
2:10

I intended to build an outbound sales agent but it didn't work out due to some geographical restrictions which I'm looking for alternative ways to fix. But I went ahead to create an inbound sales Agent instead. I used to have this work.

Ada || Airtable, Zapier & Make.com

16,020 Aufrufe • vor 1 Jahr

Introducing Creatify Agent. The world’s first multi-agent orchestrator that makes viral ads without AI slop. Drop an ad idea below, and we’ll build it for you.
2:05

Introducing Creatify Agent. The world’s first multi-agent orchestrator that makes viral ads without AI slop. Drop an ad idea below, and we’ll build it for you.

Creatify AI

4,522,601 Aufrufe • vor 2 Monaten

The challenge: Build an agent with Agentforce to solve a real-world business problem. The twist: They only had a halftime to do it. 🏈⚡ See how fast it is to create your first AI agent on Trailhead:
0:58

The challenge: Build an agent with Agentforce to solve a real-world business problem. The twist: They only had a halftime to do it. 🏈⚡ See how fast it is to create your first AI agent on Trailhead:

Salesforce

20,062 Aufrufe • vor 1 Jahr

Don't waste 2 years building AI agents the wrong way. An Anthropic engineer dropped a 1 hour course on the exact way to build AI agents from scratch. • 00:00 - building a Claude AI agent live • 34:01 - taking AI agents to production • 52:20 - AI agent harness Prompting is the old job. Building AI agentic loops is the new one. This one video replaces 10 paid courses on vibe coding. Bookmark & watch it now. Then build your own AI agent with the guide below.
1:05:54

Don't waste 2 years building AI agents the wrong way. An Anthropic engineer dropped a 1 hour course on the exact way to build AI agents from scratch. • 00:00 - building a Claude AI agent live • 34:01 - taking AI agents to production • 52:20 - AI agent harness Prompting is the old job. Building AI agentic loops is the new one. This one video replaces 10 paid courses on vibe coding. Bookmark & watch it now. Then build your own AI agent with the guide below.

Roan

13,334 Aufrufe • vor 3 Tagen