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🚨 Building AI agents is fun. Setting them up usually isn't. I expected to spend my afternoon configuring APIs, databases, deployments, and integrations. Instead, I spent it building the agent. That's what stood out after trying It removes a lot of the infrastructure work so you can focus on... show more

Amy - AI Girl

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37,973 просмотров • 2 месяцев назад •via X (Twitter)

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Your AI agent is useless once it needs to interact with the real world. Need email sending? Website hosting? Data scraping? That usually means: → API keys → subscriptions → integrations → hours of setup I gave my AI agent access to Zero, and it built + hosted personalized landing pages automatically without me configuring anything. Zero gives AI agents access to 14,000+ real-world services with no API keys or subscriptions. The coolest part? Everything runs on pay-per-use microtransactions, so you only pay for what you use. If you're building agents, this is worth trying. Get $5 free credit at 👉

Your AI agent is useless once it needs to interact with the real world. Need email sending? Website hosting? Data scraping? That usually means: → API keys → subscriptions → integrations → hours of setup I gave my AI agent access to Zero, and it built + hosted personalized landing pages automatically without me configuring anything. Zero gives AI agents access to 14,000+ real-world services with no API keys or subscriptions. The coolest part? Everything runs on pay-per-use microtransactions, so you only pay for what you use. If you're building agents, this is worth trying. Get $5 free credit at 👉

Toha Khan

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Just watched a demo of Merge Agent Handler and this actually looks pretty useful if you’re building AI agents. Most agents can generate responses, but getting them to actually take actions across real tools is still messy. Integrations are one thing, but handling auth, permissions, and security usually makes it way more complicated than it should be. What I liked is that it feels built for real workflows — you can actually see what your agent is doing instead of just hoping it works. Feels like a practical layer between AI agents and real work getting done. Worth checking out:

Just watched a demo of Merge Agent Handler and this actually looks pretty useful if you’re building AI agents. Most agents can generate responses, but getting them to actually take actions across real tools is still messy. Integrations are one thing, but handling auth, permissions, and security usually makes it way more complicated than it should be. What I liked is that it feels built for real workflows — you can actually see what your agent is doing instead of just hoping it works. Feels like a practical layer between AI agents and real work getting done. Worth checking out:

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AI is getting incredibly good. The problem is it still gets stuck whenever it needs to interact with the real world. Need to host a website? API keys. Need to send emails? Another service. Need to use external tools? More accounts and more setup. That's exactly why I wanted to try Zero. Zero gives Claude and ChatGPT access to **14,000+ real-world services**, so instead of stopping to ask for integrations, they can actually complete real tasks. I tested it by asking Cursor to build an AI healthcare startup. Within a single workflow it: → built and hosted a complete website → generated the assets it needed → emailed me the live URL → showed the total cost of the entire workflow No API keys. No juggling different services. No complicated setup. Just a prompt → a finished result. If you're building with Claude or ChatGPT, it's definitely worth trying. The first 10,000 users can claim $5 in free credits to get started: Try out now: #Ad

AI is getting incredibly good. The problem is it still gets stuck whenever it needs to interact with the real world. Need to host a website? API keys. Need to send emails? Another service. Need to use external tools? More accounts and more setup. That's exactly why I wanted to try Zero. Zero gives Claude and ChatGPT access to 14,000+ real-world services, so instead of stopping to ask for integrations, they can actually complete real tasks. I tested it by asking Cursor to build an AI healthcare startup. Within a single workflow it: → built and hosted a complete website → generated the assets it needed → emailed me the live URL → showed the total cost of the entire workflow No API keys. No juggling different services. No complicated setup. Just a prompt → a finished result. If you're building with Claude or ChatGPT, it's definitely worth trying. The first 10,000 users can claim $5 in free credits to get started: Try out now: #Ad

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After building an AI Agent startup, selling it for $1.8 mil and meeting the founder of n8n I've decide to share everything I know about building AI Agents Here is a Beginners Guide to AI Agents in 2026 (3+ hours)

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anthropic just removed the biggest excuse people had for not building ai agents. “it’s too hard.” not anymore. a few months ago, building an ai agent meant learning how to code, setting up apis, configuring servers, and fixing endless errors. today, all you need is one github repo. anthropic open-sourced launch your agent. it asks what you want to build. then it does the rest. it builds your agent, deploys it to the cloud, tests it, improves it, and keeps it running even after you close your laptop. no fake demos. no complicated setup. just a real ai agent running in your own account. the best part. it doesn’t run on your computer. it runs inside claude managed agents, works 24/7, and costs just a few cents per run. people are already building research agents, lead generation systems, content pipelines, and customer support agents that save hours of work every day. the gap between people who use ai and people who build ai workers is getting bigger every week. that’s usually where the biggest opportunities are. build your first ai agent before everyone else does. watch the video and read the full guide below 👇

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We can finally say it! is launching today! We spent a year building the data substrate for the agent economy, one MCP that allows your agents to query the world as a DB, so you can skip the data and focus on building what matters! Cala

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Elisenda Bou-Balust

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Most AI agent products still feel like you need to become an engineer before getting anything done. I spent way too much time messing around with Hermes and OpenClaw before trying Helio, and honestly the biggest difference was the setup experience. With most agent tools, you spend forever configuring workflows, prompts, APIs, and orchestration before the actual work even starts. Helio felt completely different. I gave it a task, left for a while, came back, and the AI teammates had already organized the work and started executing on their own. No complicated setup. No endless configuration. No babysitting agents. It feels less like operating AI tools and more like managing an actual AI workforce.

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AI agents have a memory problem. You create the perfect workflow, debugging process, or project setup... A few days later, you're teaching the same lessons all over again. Most AI workflows disappear the moment the chat ends. That's why EvoMap caught my attention. Instead of letting successful AI workflows vanish, it turns them into reusable assets that agents can learn from again and again. Check it out: 🧵

AI agents have a memory problem. You create the perfect workflow, debugging process, or project setup... A few days later, you're teaching the same lessons all over again. Most AI workflows disappear the moment the chat ends. That's why EvoMap caught my attention. Instead of letting successful AI workflows vanish, it turns them into reusable assets that agents can learn from again and again. Check it out: 🧵

Shruti Codes

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Contextual AI

879,586 просмотров • 1 год назад

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holly

13,718 просмотров • 22 дней назад