A couple of weeks ago, I kicked off the AI Agent Series 🧠⚙️ and the response has been wild 🤯.

So many of you said, “I had no idea it was this fast to build AI Agents”.

I walkthrough simple AI Agent Frameworks like this to make it useful for you.

No fluff, no abstractions. Just real tools, real use cases, and clean architecture that you can build on.

And Today, we’re diving into an AI tool that every developer should be using and is probably missing from your Tech Stack.

But before we get into it, a quick word from our sponsor 👇

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PRESENTED BY WORKOS AUTH KIT

Most devs start with auth that’s "good enough for now."​
Until now turns into real users, real security needs, and enterprise deals on the line. I’ve seen it firsthand, clients scrambling to patch auth when it’s already too late.

Auth is something we need to think from the get-go.

​WorkOS AuthKit is what serious AI startups use when they outgrow weekend-hack tools and need authentication that scales.

It’s not just another plug-and-play auth SDK.
It’s a fully baked identity layer, with SAML, SCIM, device fingerprinting, and maturity to handle enterprise scale.

🚀 Trusted by top AI companies like OpenAI, Vercel, Cursor, and Perplexity​
🔐 Built for security teams and scaling startups alike
🧠 Designed with GenAI infra in mind.

What more could you ask for? 🎥 You can check out the demo video here.

Whether you’re building AI agents, SaaS, org-based tools, or B2B platforms, WorkOS AuthKit gives you the grown-up stack from day one.

🍿 Weekly Snack: Build your Own AI Agent Assistant

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Let's be real. If you’ve ever tried to build with LLMs directly, you know the pain.

The code is not intuitive, and changes completely depending on the AI provider such as OpenAI, Anthropic etc.

That’s where the Vercel AI SDK saves the day.

The Vercel AI SDK is a smart wrapper around popular LLM providers like OpenAI, Anthropic, and more. It gives you a consistent API no matter which model you use.

Here's a visual snippet:

Here, we're building a simple Agent Assistant 🤖 for me.
This assistant has access to a generateKeywords tool, and we're using Anthropic (via the Vercel AI SDK) as the model behind it.
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→ anthropic(): a wrapper from the Vercel AI SDK that gives you a clean way to use Claude 3.5.

→ tool() defines a real function your agent can call. In this case, generateKeywords helps make YouTube videos more searchable.

→ zod - a powerful validation library that makes sure your tool only runs when the inputs are correct.

→ Agent() (from Convex) ties everything together.

It combines the model, instructions, and tools into an AI agent that can actually do things, not just respond.

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Notice how readable and flexible this is.

You don’t need to deal with model-specific logic or custom wiring. Just build your tools, give the agent instructions, and you’re done.

🔒 Block AI crawlers with just one toggle, no need to mess with robots.txt anymore.

​Want to build a smarter Slackbot? 🤖 — This guide shows you how using the Vercel AI SDK.

🧾 Receipt print UI is a vibe and yes, developers are actually recreating it on the web.

Shadcn just dropped Blocks for Wiki-style sites - finally, internal docs that don’t feel like a chore.

​Meet TanStack DB 🧠 - think React Query but for fully reactive, transactional state.

You can now deploy your own MCP server on Vercel ⚙️, multi-agent LLM apps just got way easier to build.

This new notebook-style UI built 📓 with Shadcn gives Notion and Jupyter a run for their money.

​Databricks acquired NeonDB - a big step toward the most dev-friendly cloud database.

🧪 CodeRabbit AI now does live AI code reviews in your IDE - like pair programming, but with an agent.​

I built a full AI SaaS Agent in 13 minutes - backend, auth, UI and all. Here's how it went​

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Check it out and subscribe to my channel ↗️ for more Frontend, Leadership and Career Development content.

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Build and Deploy an AI Agent That Codes Like a Senior Software Engineer

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How I Built A Complete AI SaaS Agent From Scratch in JUST 13 Minutes!

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