Ronnie Parsons

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Most AI strategies are just a list of prompts you’ll forget to use by next Tuesday.

The problem isn’t the prompt. It’s the plumbing.

You find a great prompt for LinkedIn posts. You save it to a Notion doc. Three days later, you’re staring at a blank Claude window, trying to remember where you put the link, what context you need to add, and which version of your bio you should paste in.

By the time you find it, you could have written the post yourself.

This is the "Tooling Trap."

We treat AI like a vending machine where we have to bring the exact change every time. If you want the business to scale, you have to treat it like a utility that’s already wired into the walls.

I spent my morning ripping out three "automated" workflows because they required too much manual prep.

1️⃣ 𝗧𝗵𝗲 𝗖𝗼𝗻𝘁𝗲𝗘𝘁 𝗟𝗮𝘆𝗲𝗿: One file that defines the voice, the goals, and the "never-say" list. It stays pinned.

2️⃣ 𝗧𝗵𝗲 𝗜𝗻𝗽𝘂𝘁 𝗟𝗮𝘆𝗲𝗿: A simple form that captures the raw idea. No formatting, no thinking.

3️⃣ 𝗧𝗵𝗲 𝗥𝗲𝗻𝗱𝗲𝗿 𝗟𝗮𝘆𝗲𝗿: The agent pulls from the context and the input to build the draft.

The shift is subtle but permanent.

You stop being a "prompter" and start being a "system designer." You aren't asking the model to be smart; you're giving the model the environment it needs to be useful.

Most people are waiting for the models to get better. The winners are building the pipes so it doesn't matter which model they plug in.

If you’re tired of copy-pasting your way through the day, I’m hosting a deep dive on "System Architecture for Solos" this Friday.

→ https://lnkd.in/example-link

1️⃣ Connect with me

2️⃣ Comment 𝗦𝗬𝗦𝗧𝗘𝗠 below

I'll send you the invite.

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