David Arnoux

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The "AI efficiency" trap is officially springing.

I spent the morning looking at three different GTM stacks for scale-ups. All three had the same "ghost in the machine" problem.

They’ve automated the tasks but forgotten the orchestration.

Here is what happens: you buy the seats, you prompt the agents, and you celebrate the "10x output" on day one. Then day thirty hits. The CRM is a graveyard of unverified data, the sequences are hallucinating brand claims, and nobody knows which version of the "truth" the AI is currently hallucinating.

The cost of a mistake has never been lower to generate, but higher to fix.

My rule for 2025 = If you can't map the loop, don't build the bot.

The "Why" check. Is this solving a bottleneck or just making a fast process faster? (Speeding up a bad process just breaks your brand at scale).

The "Human-in-the-loop" anchor. Where does the agent stop and the judgment begin? If there is no rejection button, it's not a tool, it's a liability.

The "Drift" monitor. How do we know it's still doing what we told it to do six weeks ago?

I built a simple rubric for this on Replit last night.

It takes your workflow, pokes holes in the logic, and tells you exactly where the "money leak" is going to happen. It's not fancy. It's just a mirror for your logic.

→ you input the goal

→ you list the tools in the stack

→ it runs a "chaos monkey" simulation on the hand-offs

→ you get a red/yellow/green safety score

i'm giving the template away to anyone who wants to stop burning tokens on "maybe."

the brain is mine, the model is rented. but the system is the product.

drop a "loop" in the comments and i'll send the link over.

(not a sponsored post, just tired of seeing good teams build bad loops.)

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