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Issue #1 · 2026-10-15

Your first AI agent in 30 minutes (+ 5 tools worth your time)

Hey there,

Welcome to the first Builder Brief. Every week we test-read the docs so you don’t have to, then send you one practical workflow, a handful of tools worth knowing, and one tip you can use today. It’s for two kinds of people: those building AI agents, and those using AI to get real work done. Most weeks there’s something for both.

This week we launched Playbooks: step-by-step tutorials with time, cost, prerequisites, pitfalls and an FAQ, each checked against the official docs. We also added AI tools by industry, from real estate to legal to SaaS support.

Read the playbook →

Using the OpenAI Agents SDK, you’ll build a support triage agent that:

The best tip in it: result.last_agent.name tells you which specialist answered. Write ten real customer messages with the expected specialist and you’ve got a regression test for every prompt change.

Not a coder? Try Ship an internal tool with Lovable instead.

5 tools worth your time

  1. Claude Code. An agent that works across your whole repo from the terminal, IDE or desktop. Why it matters: with MCP servers it can read your issue tracker or docs directly, so you stop pasting context.
  2. n8n. Self-hostable automation with real AI nodes. Why it matters: you can keep sensitive data (like email) on your own server and still use AI classification. See our inbox triage playbook.
  3. Ollama. Run open models locally with an OpenAI-compatible API. Why it matters: free, private inference for dev and sensitive preprocessing. Playbook.
  4. NotebookLM. Answers grounded in documents you upload, with citations. Why it matters: it’s one of the simplest ways for non-technical teams to get trustworthy answers from their own policies and manuals.
  5. Fireflies. AI meeting notes with an API and webhooks. Why it matters: Webhooks V2 + Make can push every call summary into your CRM automatically. Playbook.

Comparison of the week: n8n vs Make

Both connect your apps and add AI steps. Make is the friendlier visual builder with a large app library and a free tier for testing. n8n can be self-hosted, has deeper AI and code options, and suits technical ops teams. Rule of thumb: if no one on your team wants to maintain a server, start with Make; if data control or high volume matters, look at n8n. Full comparison →

Quick tip: the n8n setting that deletes your email (sort of)

In n8n’s Text Classifier node, the “When No Clear Match” option defaults to Discard Item. Anything the AI can’t classify silently drops out of your workflow. Switch it to Output on Extra, ‘Other’ Branch and send those items to a human-review label. Thirty seconds, and nothing gets lost.

Working in real estate? We just published five practical guides, starting with the AI tool stack for agents in 2026.

Reply and tell us which tool or workflow you want broken down next. We read every reply.

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