Stop reading about "The Agentic Future"...
Most AI content is unshippable demos or jargon-stuffed think pieces. This kicks off a bi-monthly series that skips the theory and builds working GTM agent workflows step by step in n8n, Make, Claude, Gemini, and Cloudflare. The first build turns an inbound email into a full sales prospect brief in seconds, with copy-paste logic you can actually ship.
On this page
… and start building it on Monday.
Most AI content right now falls into two buckets:
- Demos that took 3 weeks to build and will never hit production.
- Think pieces that use the word “paradigm” but don’t show a single line of logic.
A bi-monthly series showing you how to build actual agent workflows, step-by-step, using tools you can actually use (n8n, Make, Claude, Gemini, Mermaid, and Cloudflare).
No hype. No fluff. Just: Here is the problem → Here is the build → Here is the result.
But first… what does “Agentic” actually mean?
Forget the jargon. Here is the version that sticks:
An agent is software that doesn’t just respond - it acts.
| What it does | |
|---|---|
| Traditional Software | Waits for you to click a button or give an instruction. |
| Agentic Software | Receives a trigger, decides the “how,” calls its own tools, and delivers the “what.” |
The practical difference:
| What happens | Time | |
|---|---|---|
| Old Way | You get an email → research the company → write a brief → update the CRM → draft a reply. | 60 mins |
| Agentic Way | Email arrives → workflow fires → Claude (or any LLM) researches, synthesizes, and scores the lead → a brief hits your Slack before you’ve finished your coffee. | 0 mins |
The AI (Claude) is just the brain. The Agentic part is the nervous system - the orchestration that decides what happens next.
What we’re building (and what you can copy!):
I’m focusing on GTM motions, not ML engineering. We’re going to build:
Sales Prospect Intelligence: Inbound email to full brief in seconds.
Calendar Defense: A workflow that treats your deep work like a VIP.
Explainable Lead Scoring: Logic you can actually show your VP without a shrug.
The Enrichment Pipeline: Connecting messy data into a single scoring engine.
Reproducible. Copy-paste friendly. Built to ship.
Why now?
The gap between “AI is cool” and “AI is useful” isn’t a lack of power - it’s a lack of a map. The tools are ready. The APIs are cheap. You just need to see the steps.
First tutorial drops this week: From Inbound Email → Sales Prospect Intelligence. Built in ~2 hours.
Imagine every time an inbound email hits your inbox, a “digital researcher” has already done 60 minutes of prep work for you.
Before you even click “Open,” your Slack pings with:
Company Context: Latest funding, headcount, and mission based on open source data
Recent Signals: Did they just hire a new VP? Launch a new product?
The Pain Point: Why are they actually reaching out?
Suggested Talk Track: The 3 things you should mention in the first 5 minutes.
Confidence Score: Is this a Tier 1 lead or a tire-kicker?
The Reality: Most GTM teams spend 60+ minutes per prospect doing this manually. The Agentic Way: This workflow takes 0 minutes of your time once it’s live.
Gmail Prospect History - Agent analyzes all threads and creates a Profile to inform communication style.
Real data example - mining Gmail data to generate Behavioral Profile for the prospect:
Follow along if you’re tired of watching demos that don’t ship. Agent tech shouldn’t live in keynotes. It should live in your browser.