Build Your Own AI Agent: Hyperagent and Notion
Happy Tuesday, Snackers 👋
Here’s the thing nobody’s talking about enough: we’re not just using AI anymore – we’re building with it.
A few months ago, making your own AI agent required Python scripts, API keys, and a tolerance for broken things. Now? You can spin one up in plain English inside tools you’re already paying for.
I’ve been deep in two platforms this month that are making custom AI agents feel... normal. Here’s what I found.
Notion Custom Agents
What it is: Notion launched Custom Agents in February 2026 – autonomous AI teammates that live inside your workspace and respond to triggers (Slack messages, database changes, schedules, emails). Over 21,000 agents have already been created during the beta.
What makes it interesting:
You describe what you want in plain English – no code
Agents can pull from your existing Notion pages, databases, and docs as their knowledge base
They integrate with Slack, Mail, Calendar, Figma, and more
Scoped permissions mean you control exactly what each agent can access
Pricing: Free during beta (through ~April 2026) on Business and Enterprise plans. After that, it moves to a credits system — $10 per 1,000 Notion Credits.
My take: I built a few agents inside my own workspace – one that monitors my content calendar and drafts newsletter outlines when I add a new topic, and another that answers questions about my project docs. Setup was shockingly fast. You describe what you want, point it at the right databases, and it just... works. The trigger system is where it gets really powerful – I have one that fires whenever a new entry hits my ideas database. What surprised me most is how well it pulls context from existing pages. It’s not just keyword matching; it actually understands the relationships between my docs.
Verdict: If you’re already a Notion power user, this is a no-brainer to try while it’s free. The learning curve is basically zero.
Hyperagent (by Airtable)
What it is: Hyperagent is Airtable’s dedicated autonomous agent platform – a standalone product built to run complex, hours-long workflows across enterprise data. It gives agents a full computing environment – they can learn new tools and APIs on the fly, chain them together, and produce finished deliverables. Think: hours of research or data work, condensed into minutes.
What makes it interesting:
Agents run autonomously with access to a real computing environment
They learn and adapt to new tools and APIs as they go – no pre-built integrations required
Can chain multiple tools together to complete complex, multi-step workflows
My take: What gets me about Hyperagent is the combination of breadth and depth. The integration list is genuinely impressive – it connects to the tools you’d actually want an agent touching. But the real unlock is chaining. You can wire together a sequence of complex actions and just... let it run. I’ve set it loose on tasks I’d normally block out an hour for and come back to finished work. That’s a different feeling than most automation tools, which still need you hovering. The learning curve is real – this isn’t a no-code play. But if you’re dev or dev-adjacent, that tradeoff is worth it fast.
Verdict: This is the power-user pick. If you need agents that can handle complex, multi-step work across the open web, Hyperagent is worth exploring.
What This Means
Both of these tools point in the same direction: AI agents are becoming personal infrastructure.
Notion is betting you’ll build agents inside your existing workspace. Hyperagent is betting you need agents that roam the open web.
Different approaches, same destination – AI that works for you in the background, not just with you in a chat window.
My prediction: by the end of 2026, everyone reading this will have at least one custom agent running. The tools are that accessible now.
Honestly, setting these up scratched the same itch as building automations in Zapier years ago – except now the automations can actually think. They read context, make judgment calls, and adapt. That’s the shift. We went from “if this, then that” to “figure out what to do and do it.” And we’re still in the early innings.
📺 Want to see these in action? I’m doing deeper walkthroughs on the YouTube channel – subscribe to Stack Snacks on YouTube so you don’t miss them.
💬 Hit reply and tell me: have you built any custom agents yet? What are you automating? I read every response.
Until next Tuesday,
John