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The AI Agent Blueprint

If I had to start over: my 2026 AI playbook


The AI Agent Blueprint

"If nobody’s in acute pain, nobody’s paying-start there."

Build what users do, not what they say.


Hey there,

AI is creating a new class of millionaires, and it’s not limited to coders or Silicon Valley.

The real edge I’d bet on in 2026 is simpler (and harder): compounding feedback loops.

Because AI compresses time. If your learning + shipping cycle is slow, you fall behind. If it’s fast, you start lapping the market.

Here are the 4 loops I’d build:

1) The Balance Loop (Asymmetric Advantage) Choose a problem with acute pain and clear willingness to pay. “Interesting” problems don’t convert; pain does.

2) Speed-to-Revenue Loop Get to a paid version quickly. Revenue is the most honest form of validation.

3) Signal-to-Innovation Loop Track behavior-based signals (what users do, where they struggle, what they repeat). Then build what’s being pulled.

4) Sweat Equity Loop Turn focused work into assets: workflows, prompts, playbooks, distribution, and customer trust.

If you want leverage in an AI world, don’t ask “Which tool should I learn?” Ask “Which loop can I run every week?”


"Revenue is validation with zero bias. Charge early."

Reply with your niche + the problem you want to solve, and I’ll suggest the fastest loop to start with.

Best,

AK

Agentical AI 2025
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The AI Agent Blueprint

This is AK. I build AI agents that automate the boring stuff so businesses can scale faster. In this newsletter, I break down the exact systems, tools, and client workflows we use at Agentical AI: from voice agents to end-to-end automations, along with weekly insights on growth, execution, and building an AI agency. Subscribe - your future self will thank you.

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